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2JGU’s MissionBuilding the future ofIndia and the worldJGU’s VisionA world-class university creating global leaders
3Guiding Question for this Report This report is guided by a central question: How can JGU build an education system that uses AI to genuinely enhance learning, research, and institutional efficiency, while ensuring that human judgment, creativity, and agency remain at the core of the academic experience? Core Values (IDEAS)ImpactDiversityExcellence Sustainability AcademicFreedom
44Professor (Dr.)C. Raj KumarVice ChancellorO.P. Jindal Global UniversityThe university must stand at the frontier of knowledge, not as a passive observer of change but as its principled architect. Artificial Intelligence constitutes one of the most consequential developments in the contemporary history of higher education. Its implications extend beyond technological enhancement to the very architecture of knowledge creation and institutional governance.Engaging with AI for JGU is therefore, not merely a matter of adaptation but of intellectual leadership and normative responsibility. This AI Governance Report 2026 articulates a coherent and future-oriented framework for embedding AI across our academic, research, and administrative domains. I acknowledge the leadership of Dean Padmanabha Ramanujam of the Office of Rankings, Benchmarking and Institutional Transformation and Professor Siddharth Chauhan of the Cyril Shroff Centre for AI, Law and Regulation for their contributions to this thoughtful and transformative report.Mr. NaveenJindalChancellorO.P. Jindal Global UniversityIndia’s vision for Artificial Intelligence is rooted in the belief that technology must serve humanity advancing innovation while promoting inclusion, equity, and national development. As our nation aspires to global leadership in responsible AI and digital transformation, universities have a vital role in shaping both the capabilities and the conscience of this progress.O.P. Jindal Global University is proud to align with this national vision. Our AI Governance Report 2026 outlines a focused and principled approach to integrating AI across teaching,research, and institutional governance, ensuring that technological advancement strengthens academic excellence while upholding ethics, integrity, and human agency.As we embrace the possibilities of AI, we remain guided by a simple conviction: progress is meaningful only when innovation is anchored in values and directed towards the greater good of society and the nation.
55Professor DabiruSridhar PatnaikRegistrarO.P. Jindal Global UniversityIt gives me great pleasure to present the inaugural AI Governance Report 2026 of O.P. Jindal Global University. This report reflects our institution’s commitment to thoughtfully integrating Artificial Intelligence across teaching, research, administration, and governance. As universities worldwide navigate a rapidly evolving technological landscape, it is imperative that institutions remain agile, innovative, and future-ready.At JGU, the Registrar’s office plays a crucial role in enabling institutional transformation by strengthening governance frameworks and supporting academic processes. The integration of AI within these systems offers immense potential to enhance operational efficiency, data-driven decision-making, and institutional effectiveness.As we move toward becoming a future-ready, university, AI will play a transformative role in strengthening academic excellence.Professor R. PadmanabhaDean , Academic Governance O.P. Jindal Global UniversityArtificial Intelligence marks a pivotal moment in the evolution of higher education, reshaping the ways in which knowledge is produced, transmitted, and governed. For an institution dedicated to academic excellence and global leadership, this transformation demands intellectual clarity and institutional foresight.The growing body of s cholarship on AI underscores not only its vast potential to enhance learning, research, and governance, but also the importance of embedding its use within strong ethical and regulatory frameworks. Its promise must be realised in ways that strengthen and not dilute the foundational values of critical inquiry, creativity, and integrity that define the university.This report sets out a principled and strategic roadmap for integrating AI across JGU’s academic and administrative ecosystems. Anchored in responsibility and guided by informed scholarship, it reflects a collective commitment to future-ready, AI-enabled higher education.
611-26Table of Contents 3.1 Background and Institutional Preparedness 3.2 The 2025 Decision: Advancing a Digital-First Future3.3 Scale and Execution: 2025 Semester Examinations3.4 Environmental Impact & Sustainability3.5 Positioning JGU in the Global Assessment Landscape3. Case Study 2025: JGU’s transition to AI-Enabled Online Examinations30-355.1 Background 5.2 The immediate institutional impact 5.3 Automation of administrative load5.4 Creation of dedicated research time5.5 Direct Impact on Scopus-Indexed Output and Global Positioning5. Case Study JGU: 38-39 How AI-Proctored Examinations converted Administrative Efficiency into Research Growth4.1 Faculty-Led AI Innovation in Teaching & Research4.2 Aspirational Models for AI-Enabled Academic Innovation at JGU4. AI in Teaching, 36-37 Research & Academic Innovation at JGU2.1 Reimagining Student Engagement in an AI-Augmented University2.2 JGU Online2.3 Learning Online at JGU: A Next-Generation Digital Ecosystem2. AI in Learning & 24-29 Student Experience1. Executive Summary: JGU Faculty & Research Highlights1.1 JGU’s Human-Centered AI Renaissance1.2 Artificial Intelligence Degree Programmes1.3 Key Dialogues from India AI Summit 2026 1.4 AI-Enabled Smart Assistant for Museum Visitors1.5 JGU AI Publication Highlight1.6 JGU Faculty & Research Highlight8-236.1 Growth in number of publications in AI & allied fields6.2 Growth in number of Authors in AI & allied fields6.3 Faculty Research Highlights: Global Collaboration and Societal Impact6. Research Showcase: 40-43 Growth in AI-Related Scholarship at JGU (2020–2025)6
711-269. Policy Recommendation 54-57 for JGU7.1 Designing Governance beyond Rhetoric 7.2 Institutional Leadership in Global AI Governance44-45 7. AI Governance & Global Engagement8.1 Smart Campus & AI Chatbots8.2 JGU’s Global Library Digitisation Initiatives8.3 Data governance, security & ethical use8.4 AI in admissions, scheduling & evaluation8.5 AI-Integrated Campus Infrastructure & Smart Operations8.6 AI-Enabled experiential learning & constitutional engagement8. AI’s Role in Streamlining 46-53 Campus Operations at JGU7
81. Executive Summary: JGU Faculty & Research Highlights1.1 JGU’s Human-Centered AI RenaissanceO.P. Jindal Global University (JGU) envisions an AI-Enabled education ecosystem that enhances human judgment, creativity, and agency, and, as a research-driven global university, is uniquely positioned to lead responsible, ethical, and globally aligned AI adoption in India.For the purposes of this report, we have definedArtificial Intelligence as “AI.”16,000+Students1,100+ FacultyMembers65+ Interdisciplinary Research CentresO.P. Jindal Global University has been recognised as a WDSAI Approved Institution, acknowledging its strategic alignment with the global m ov e m e n t t o a d v a n c e academic capacity in data science and AI.8
9Faculty members at JGU are at the forefront of advancing interdisciplinary AI research, teaching, and global thought leadership. Across the university’s twelve schools, more than 40 AI-linked courses and over 15-degree programmes now integrate machine learning, analytics, and technology policy components. Research activity in AI and digital governance has expanded significantly between 2020 and 2025, signaling the growth of a vibrant and multidisciplinary scholarly ecosystem. The establishment of the Cyril Shroff Centre for AI, Law & Regulation (CSCAILR) has positioned JGU as a national leader in the study of AI ethics, regulation, and governance.“Jindal Global Law School, JGU is uniquely positioned to lead this global conversation. Its commitment to academic excellence, ethical leadership, and international engagement makes it the natural home for this Centre. There is no better institution in the Global South to shape how AI and law intersect for the public good.” Professor David B. Wilkins Lester KisselProfessor of Law Harvard Law SchoolProfessor Sidharth Chauhan Associate Professor Associate DeanJindal Global Law SchoolDirector, CSCAILR“Cyril Shroff Centre seeks to build a rigorous intellectual and policy platform where scholars, regulators, technologists, and industr y leader s collaborate to develop forward-looking frameworks for responsible and human-centred AI governance.” Readers are encouraged to explore the inaugural edition newsletter of the CSCAILR via the QR code, which highlights the Centre’s vision, strategic initiatives, and early research outputs in AI ethics, governance, and policy.9
10In under six months since its inception, the Centre has built an extensive record of policy engagement, research output, capacity building, and global partnerships.Books & Special Issues Whitepapers & Research PapersEstablished at Jindal Global Law School, CSCAILR is a leading interdisciplinary centre bridging the gap between artificial intelligence, law, and public policy — engaging government, industry, judiciary, and civil society to shape responsible AI futures.Cyril Shroff Centre for AI, Law & Regulation 2. Representative list of research & publications6+ PolicySubmissions 40+ Thought-LeadingEvents 30+ AICourses 4 Degree 10+ ProgrammesAI ImpactSummitsRegulatory Comments & PolicyPapersAI Impact Summit : Pre-Summit &Related Events1. Selected policy engagement & advocacy initiative• Draft IFSCA FinTech Sandbox Framework• Draft IT Intermediary Guideline Amendment Rules, 2025• DPIIT’s One Nation One License One Payment: AI Innovation & Copyright• RBI FREE AI Committee Report• National AI Playbook for Justice Governance• Response to the Discussion Paper on AI Trust Framework• Open Data for AI Training with Cyril Amarchand Mangaldas• AI & Human Capital in Emerging Economies with AICTE• Privacy & Innovation for Healthcare AI with iSPIRT• AI Action Plan with Motwani Jadeja Institute• Safe & Trusted AI Chakra with UNOHCHR• Digital Public Infrastructure for AI Governance with Asia Society• Policy Recommendations for AI Infrastructure• Ethical Frameworks and Design Recommendations for Foundational AI Models• Governing AI Market Structures• Future of Legal Education in India in the Age of Legal Tech and AI• Responsible Use of AI/ML in Indian Securities Markets• Autonomous Vehicles: Locating the Right to Drive• Reimagining Right to Information for the AI Age• Technology Law: Regulations, Cyber Policy & the Digital Landscape — Rodney D. Ryder & Prof. Nikhil Naren• National AI Playbook for Justice & Governance• AI, Law and Regulation In Progress• JGLR Special Issue on Law and Artificial Intelligence10
115. Strategic vision: 5-Year planFoundation & EarlyImpactPolicy engagement and direct interventions; high-level roundtable events; training workshops and literacy programmes for legal/public sector professionals; risk assessment studies in banking & fintech; newsletter on AI, Law & Regulation; annual public lecture on AI regulatory developPHASE I — 2025–2027Emerging as a Centrefor ExcellenceAI Fairness Index, peer-reviewed journal, Indian Yearbook on AI Regulation, AI Summer/Winter School, long-term research projects, repository of rigorous research and scholarship.PHASE II — 2028–2029DemonstratingLeadershipIn-house AI lab, global research repository, legaltech incubation centre, Chair Professorship on AI, Law & Regulation.PHASE III — 2030+ “I am honoured to support the establishment of the Cyril Shroff Centre for AI, Law & Regulation at Jindal Global Law School. The Centre will serve as a vital platform for legal scholarship, policy innovation, and institutional dialogue on AI governance. It also commemorates a decade of Cyril Amarchand Mangaldas and builds on the 108-year legacy of Amarchand Mangaldas.”Mr. Cyril Shroff Managing Partner, Cyril Amarchand Mangaldas (CAM)On the launch of the Centre at the Law Society ofEngland and Wales, London.3. Judicial training & selected capacity building initiativesTraining & Workshops MOOCs — Launching 2026• Judicial Officers Training on AI, Law & IPR — Maharashtra Judicial Academy• Delhi High Court Bar Association — AI & Legal Practice• Judicial Service Officers — AI & Justice Training• MeitY National e-Governance Division (Digital India Programme) — Biometric Data & Human Rights• Legora Workshop + CLIC 3.0 Launch• AI for Lawyers: Core Concepts and Issues• AI: Contemporary Statutory Developments• AI Systems for Legal Practice• Regulation of AI: A Deeper DiveOpen Access Self-Paced 4 Courses4. Innovation & IncubationMediation ChatbotStudioLexdoo AI —Student StartupJustice Definitions ProjectGlobal Freedom ofExpression Project11
12JGU offers pioneering degree programmes in Artificial Intelligence across multiple Schools, Institutes and Centres. Integrating technology with law, finance, and data sciences. These programmes are designed to meet the growing demand for AI expertise in interdisciplinary domains.1.2 Artificial Intelligence Degree Programmes at O.P. Jindal Global University (JGU)M.Sc. in Artificial Intelligence &Data ScienceThe M.Sc. in Artificial Intelligence & Data Science, offered by the Jindal Centre for Digital Sciences (JCDS), is a one-year, non-residential postgraduate programme designed for working professionals and recent graduates. The programme is uniquely structured to require no prior coding or advanced mathematics background, making it accessible to learners from diverse academic disciplines.The curriculum covers core areas such as Machine Learning, Deep Learning, and Big Data Analytics, equipping students with practical and industry-relevant skills. Emphasis is placed on applied learning, real-world case studies, and handson exposure to AI tools and platforms. The programme prepares graduates to transition into data-driven roles across industries including technology, consulting, healthcare, and analytics.12
13The M.Sc. in Artificial Intelligence & Finance, offered by the Jindal School of Banking & Finance (JSBF), is a one-year online postgraduate programme focusing on the integration of AI within financial systems.The programme explores applications of AI in fintech innovation, algorithmic trading, financial modelling, fraud detection, and risk management. Students gain expertise in predictive analytics, automated trading strategies, and AI-driven financial decision-making. Designed for finance professionals and aspiring fintech specialists, the programme bridges advanced technology with contemporary financial practices.The LL.M. in Artificial Intelligence and Emerging Technologies, also offered by the Jindal Global Law School (JGLS), is a blended learning postgraduate programme designed for legal professionals and policymakers.The programme addresses critical global issues including AI regulation, GDPR and data protection laws, intellectual property in the digital age, and governance of emerging technologies. Through comparative legal analysis and policy-oriented study, students gain advanced expertise in regulating AI within international legal frameworks.The B.Sc in Artificial Intelligence and Finance is designed for students who want to build strong careers at the intersection of finance and technology. This program is offered by the Jindal School of Banking & Finance and is India’s only undergraduate program that combines finance, AI, and a 12-month industry co-op. This AI and finance-oriented program blends online flexibility, on-campus immersion, and real-world experience to prepare students for techforward careers. Through this undergraduate program, learners can pursue careers in fintech, investment banking, risk analysis, and AI-driven consulting. Students develop both financial expertise and technological fluency, preparing them for a fast-changing global market.The B.A. in Artificial Intelligence and Law, offered by the Jindal Global Law School (JGLS), is recognised as India’s first undergraduate programme dedicated to exploring the intersection of AI, society, and legal systems.This interdisciplinary programme examines topics such as AI ethics, digital governance, technology regulation, data protection, algorithmic accountability, and the societal implications of automation. Students develop a strong foundation in both legal principles and emerging technological frameworks, preparing them to navigate complex regulatory and policy environments shaped by AI advancements.B.Sc. in Artificial Intelligence &FinanceB.A. in Artificial Intelligence and LawM.Sc. in Artificial Intelligence &FinanceLL.M. in Artificial Intelligence and Emerging Technologies13
14“While AI’s advancements are remarkable, it is essential to acknowledge its limitations, particularly in areas like legal adjudication where human judgment plays a pivotal role.” Mr. Tushar Mehta Solicitor General of India“The issue would be how the traditional relationship between law and technology m u s t ev o l v e t o a c c o m m o d a t e t h e fundamental shift in the nature of technology, one that has already begun.” Mr. R. Venkataramani Attorney General for India“By viewing AI as a complementary tool rather than a replacement, we can harness the humungous potential of AI to advance justice.” Dr. Abhishek Manu Singhvi Senior Advocate Supreme Court of India“As technology transforms every aspect of human life, legal education must prepare future leaders to understand, regulate, and ethically guide the use of Artificial Intelligence.”Mr. Naveen JindalFounding ChancellorIndia’s first B.A. Programme in AI and Law by JGLSJGU has launched India’s first-ever B.A. programme in Artificial Intelligence and Law through Jindal Global Law School (JGLS) on January 17, 2025. Inaugurated by the Union Minister of State for Law and Justice, Arjun Ram Meghwal, this pioneering programme marks a significant step in integrating technology and legal studies within India’s higher education landscape. The B.A. in AI & Law equips students with foundational legal knowledge alongside a deep understanding of AI technologies, regulation, data governance, ethics, and the societal implications of emerging technologies. By bridging law, technology, and public policy, the programme prepares graduates for future-oriented careers in technology law, AI governance, compliance, digital rights, and policy advisory roles—further strengthening JGU’s leadership in interdisciplinary AI and legal education in India.14
155 areas of AI use and adaptation within the judicial contextThe Role of AI in India’s JudiciaryCurrent SystemProceduraldelays Insufficient administrative capacityIncreased manualpaperworkAI-Enabled SystemMachine-learnt schedulingAI-supported digital kiosksVirtualcourtsCase management & scheduling using machine-learnt predictions, and real-time and dynamic scheduling to reduceadjournments.Natural language processing tools can assist courts with document classification, translation, summarisation and AI-assisted drafting of routine orders.AI-enabled virtual courts can expand access to justice through digital kiosks and automated legal research.Blockchain tech can enable the administrative apparatus to ensure tamper-proof digital evidence storage and chain-ofcustody verification.Real-time analytics and productivity dashboards can help manage court backlogs, provided AI use follows principles of transparency, accountability, and ethical compliance.How AI can transform India’s judiciary:Why CJI Surya Kant wants tech-driven justiceProfessor (Dr.) C. Raj KumarVice ChancellorO.P. Jindal Global UniversityTHE ECONOMIC TIMES, 27 November 2025.“The judiciary has begun exploring AI-based tools for research, transcription, and data analytics,always with the guiding principle that technology must augment, not replace,the human mind’s discernment.”53rd Chief Justice of IndiaHon’ble Mr. Justice Surya Kant15
161.3 From Regulation to Real-World Impact: Key Dialogues from India AI Impact Summit 2026 held at Bharat Mandapam, New Delhi from February 16–20, 2026 • The session sought to discuss how “responsible AI” becomes real in practice: what guardrails can be made enforceable when capacity is asymmetric, and what institutional failure may emerge as a result.• Prof. Sidharth Chauhan contributed to the event discussing emerging challenges concerning AI safety. He emphasized the need to establish techno-legal safeguards to ensure responsible usage of AI.Significance: The symposium stressed on the need for institutional collaboration between Global North andGlobal South to facilitate AI safetyFocus: How law and regulation can keep up with emerging risks that emanate from deployment of AI? Date: 16 February 2026 1. From Guidelines to Ground Institutional AI Safety for India and the Global South• Innovations presented included AI-driven healthcare diagnostics, intelligent manufacturing systems, and• AI-Enabled education technologies.• Industry panels examined how organisations can scale AI responsibly while enhancing productivity, service delivery, and economic opportunity.Scope: Showcasing real-world AI deployment across sectors through startup demonstrations and enterprisesolutions.Impact: These sessions demonstrated the transition of AI from policy discussion to tangible socio-economic Dates: 17–20 February 20262. Applied AI & Industry Sessions16
17Date: 19 February 2026• Global technology leaders, including Sundar Pichai and Sam Altman, engaged with policymakers on responsible AI development and the need for international collaboration.Focus: Strategic dialogue between governments and global industry leaders on the future of AI governance and international cooperation.Strategic Importance: The Round-table highlighted the importance of public–private cooperation in establishing trusted and globally aligned AI ecosystems.4. Leaders’ Plenary & CEO RoundtableDate: 20 February 2026 • Dr. Shashi Tharoor emphasised that data governance is central to national capability, strategic autonomy, and equitable access in the evolving AI ecosystem.• Moderated by Professor (Dr.) C. Raj Kumar, the panel explored statutory frameworks for open data, with Mr. Cyril Shroff advocating legal mechanisms to dismantle data silos and create certainty for innovation and investment.Focus: Designing an effective regulatory architecture for open data that enables AI systems through structured openness balancing accessibility with governance safeguards and domestic capacity building. Key Message: Structured openness and data that is accessible, interoperable, and responsibly governed isessential for enabling AI innovation while safeguarding public interest.5. Exploring a Regulatory Framework for Open Data (JGU–CAM Panel) • Discussions highlighted the need for indigenous AI research ecosystems, including investment in compute infrastructure, national laboratories, and long-term research funding.Significance: Scholars and policy experts explored how evidence-based research can inform governance frameworks, enabling responsible AI adoption across diverse socio-economic contexts.Purpose: Bridging research and policy by showcasing leading scholarship and evidence-based insights from academics and think tanks. Date: 18 February 2026 3. Research Symposium: AI, Sovereignty & Global Adoption 17
181.4 AI-Enabled Smart Assistant for Museum Visitors JGU has established India’s first AI-enhanced Constitution Museum & Rights and Freedoms Academy, featuring holographic exhibits, interactive archives, artistic galleries, and a 360° theatre. Developed with IIT Madras, the S.A.M.V.I.D. semihumanoid robot offers personalised tours and real-time AI interactions, positioning JGU as a leader in technologydriven civic learning. 18
19Digital Archives & Holographic DisplaysThe museum complements its physical exhibits with rich digital content that deepens visitors’ understanding of the Constitution. Interactive pamphlets and quizzes simplify complex concepts such as the Preamble, Fundamental Rights, Federalism, and Separation of Powers, making them accessible and engaging for all ages. A standout feature is the holographic projection of Dr. B. R. Ambedkar, which enables visitors to interact with his ideas through a Q&A based on his speeches and writings. The Archival Deep Dive section further allows visitors to explore original documents, photographs, videos, and Constituent Assembly debates through touchscreens, offering an immersive and comprehensive view of India’s constitutional journey.The video brings the JGU Constitution Museum to life, showcasing not just its exhibits but also the transformative role of S.A.M.V.I.D, the AI guide. It captures visitors interacting with S.A.M.V.I.D, experiencing personalized explanations of the Constitution, and engaging with multimedia displays that contextualize India’s democratic journey. The film emphasizes the museum’s blend of technology and pedagogy, showing how AI enables immersive storytelling, guiding users through complex historical narratives, interpreting constitutional principles, and making learning dynamic and accessible. Through its visuals and narrative, the video demonstrates how S.A.M.V.I.D. transforms a conventional museum visit into an interactive AI-driven educational experience, highlighting JGU’s commitment to innovation in learning and civic engagement. To watch the complete video and explore the full discussion, please scan the QR code provided. The video offers deeper insights and additional perspectives related to this report. Simply scan the code using your smartphone camera to access the content instantly.19
201. JGU- Seattle University Short-Term Study AbroadProgramme on “AI, Technology & Law”, 2026 2 Pivotal Milestones Advancing JGU’s Global AI Vision Global residential programmes strengthen students’ preparedness for an AI-driven future, most notably the Seattle Short-Term Study Abroad Programme on AI, Technology, and Law. This initiative provides a three-week academic residency in Washington’s innovation ecosystem, giving students direct exposure to leading technology companies, policy institutions, and experts shaping global AI gov ernance. These international experiences equip students to become ethically grounded, technologically fluent, and globally competent leaders in an increasingly AI-enabled world.2. University of Yamanashi’sShort-Term Study AbroadProgram on “AI and Humanities:Application in SDGs”, 2026 A standout offering in the 2026 Short-term Study Abroad Programmes is the University of Yamanashi’s course, “AI and Humanities: Applications in SDGs.” This three-week programme enables students to examine how artificial intelligence connects with global development, ethics, and social impact. Through faculty-led classes, curated field activities, and exposure to Japan’s innovation landscape, participants develop a nuanced understanding of how AI can be applied responsibly to support the Sustainable Development Goals. With included accommodation, meals, and cultural excursions such as a visit to Mt. Fuji the programme provides a well-rounded academic and international experience.20
1.5 JGU AI Publication HighlightProfessor Krishna Deo Singh Chauhan’s work has been featured in the “Handbook of Global Philosophies on AI Ethics: Towards Sustainable Futures” (Routledge). The publication is titled ‘Hypersuasion’ and Beyond: Contending with Regulatory Gaps in Modern AI Systems through a Pluri-Ethical Perspective.’ As Associate Director of the Cyril Shroff Centre for AI, Law and Regulation, his work explores how contemporary regulatory systems must adapt to address the behavioural power of AI-driven systems, particularly manipulative design practices and persuasive technologies that shape individual decision-making in digital environments.Professor Krishna Deo Singh ChauhanAssociate DirectorCSCAILRTechnology Law: Regulations, Cyber Policy, and the Digital Landscapeis co-authored by Professor Nikhil Naren, Chevening Scholar, Assistant Director, CSCAILR and Assistant Professor at JGLS. The book is written in collaboration with Mr. Rodney D. Ryder, Founding Partner at Scriboard (Advocates and Legal Consultants), New Delhi. This comprehensive text serves as a major scholarly contribution in the field of technology law, offering practitioners, researchers, and students a structured and accessible resource. Professor Nikhil Naren Assistant DirectorCSCAILRIn Handbook of Global Philosophies on AI Ethics: Toward Sustainable Futures, edited by Professor Ram B. Ramachandran and Professor Naresh Singh, underscores that AI systems are not neutral technologies but are embedded within social and cultural contexts that shape their outcomes.Professor Ram B. RamachandranVice DeanJSBFProfessor Naresh SinghFormer Executive DeanJSGP21
221.6 JGU Faculty & Research HighlightTop 5 Contributing Authors Driving AI-RelatedResearch across JGU schools:Professor Mohit Yadav, JGBSAI Publications- 14Scholarly Output155 856 5.5 17Citation Count Citations per Output h-indexProfessor Sarveshwar Kumar Inani, JGBSAI Publications- 15Scholarly Output28 134 4.8 6Citation Count Citations per Output h-indexProfessor Hanna Olasiuk, JGBS AI Publications- 12Scholarly Output22 29 1.3 3Citation Count Citations per Output h-indexProfessor Sanjeev Kumar, JGBS AI Publications- 11Scholarly Output28 115 4.1 5Citation Count Citations per Output h-index22
23Human-RobotInteraction & EmotionRecognition AdvancesDigital Twin Integration in Smart ManufacturingSystemsMachine LearningTechniques inSentiment AnalysisData MiningTechniques forEnhanced Decision MakingImage Segmentation, Deep Neural Networks and Object DetectionTopicClusterTC.321TC.0TC.1057TC.5TC.402Topic ClusterNumber5649454028Scholarly Output3.363.743.251.291.67Field-WeightedCitationImpact99.1510098.399.73884.107WorldwideProminencepercentileResearch Summary:Professor Vaibhav Aggarwal, JGBS AI Publications- 10Scholarly Output41 318 7.8 9Citation Count Citations per Output h-indexThese topic clusters highlight JGU’s growing engagement with advanced AI research topics and itsincreasing global relevance in the field.Total Scopus-Indexed Publications in AI:139Total Citations in AI: 1063Citation per publication:7.6Publication share inQ1- 55.6%Publication share in Q1 & Q2 journals74.1%23
24India’s higher education ecosystem is undergoing a historic transformation shaped by sweeping regulatory reforms, rapid digitalisation, and the expanding role of Artificial Intelligence (AI) across academic and administrative systems. National frameworks such as the NEP 2020, the DPDP Act 2023, the UGC ODL and Online Programme Regulations, and the emerging National Digital University (NDU) signal a decisive shift toward a flexible, technologyintegrated and learner-centric model. These reforms encourage universities to expand online and blended programmes, modernise digital infrastructure, strengthen data governance, and prepare future-ready graduates capable of thriving in AI-driven economies. This national push is not merely procedural—it reshapes how institutions design curricula, deliver learning, assess student outcomes and scale access to high-quality higher education. Against this evolving national landscape, JGU approaches AI integration with a clear conviction: technology must strengthen, not replace the humanistic foundations of higher education. The university’s vision for AI-enabled learning is built on its commitment to personalised, student-centred and interdisciplinary education. AI is used as an enabler that deepens learning quality by supporting personalised academic pathways, enriching feedback and assessment, and enabling timely academic or wellbeing interventions, all while keeping human judgment and creativity at the core of the academic experience. Global student behaviour underscores the urgency of this approach. According to the DEC Global AI Student Survey (2024), 86% of students now use AI tools for studying, but nearly 80% believe universities have not met expectations for meaningful AI integration. JGU has begun bridging this gap through systematic redesign of the learning environment. 2. AI in Learning & Student Experience 2.1 Reimagining Student Engagement in an AI-Augmented University 24
25The university is repositioning students not as passive recipients of content but as active, AI-augmented collaborators in the academic process. Through AI literacy modules, OpenEdX-enabled microlearning pathways, institution-supported AI research companions, and dialogue-based collaboration tools, students engage more deeply in inquiry, ideation and multidimensional problem-solving. Early pilots in AI-driven learning analytics allow students to track performance, manage workload, and take ownership of their learning trajectories. These tools promote autonomy, reflective learning and agency - key attributes of a future-ready learner. Anchored by the Office of Academic Governance and Student Life, JGU is integrating AI into investigative practices across law, governance, sustainability, public health, business and the humanities. AI tools enable analysis of complex datasets, modelling of social phenomena, augmentation of qualitative inquiry, and the generation of insights that contribute to the public good. With global partnerships spanning more than 80 countries, JGU is positioned to shape international conversations on AI ethics, governance and innovation. At an institutional level, AI is being embedded into governance in ways that enhance transparency, efficiency and evidence-based decision-making. The adoption of platforms such as Mercer | Mettl’s AIenabled proctoring system reflects JGU’s commitment to strengthening academic integrity and trust in digital assessment ecosystems. These measures align with principles of ethics, privacy, accountability and studentcentricity. As India moves boldly toward a digitally enabled higher education era, JGU seeks to lead this transformation with foresight and responsibility. In this context, JGU has introduced the Artificial Intelligence and AIAssisted Technology Usage Policy for Students, 2025, which outlines the acceptable, conditional, and prohibited uses of AI tools in academic activities. The policy aims to ensure that while AI technologies may support learning, drafting, and research processes, they do not replace independent thinking, originality, and academic integrity. It further requires transparency in AI usage through proper disclosure and emphasises the role of both students and faculty in maintaining ethical academic practices in an evolving digital learning environment.JGU Online represents one of the university’s most significant digital innovations—an ecosystem of undergraduate and postgraduate programmes designed for early-career learners, working professionals, and global students seeking flexible, high-quality academic pathways. Fully compliant with UGC’s Online Degree Regulations, JGU Online integrates advanced learning design, AI-driven academic support, and continuous assessment practices that mirror global best standards in digital pedagogy. The platform emphasises personalised learning through adaptive quizzes, automated feedback engines, and individual performance dashboards; industry contextualisation through simulations, case studies and capstone projects; and learner flexibility through modular content, recorded lectures, and real-time live sessions. With strong linkages to corporates and global online learning providers, JGU Online bridges academic foundations with contemporary industry needs. JGU Online offers a portfolio of interdisciplinary programmes that integrate artificial intelligence, data science, business analytics and human-centred design, preparing graduates for rapidly evolving AI-enabled careers. JGU’s approach extends beyond pedagogy. 2.2 JGU Online: Driving Scalable, Accessible & Future-Centric Education Postgraduate Degrees A rigorous programme covering machine learning, deep learning, NLP, data mining, and model deployment, supported by ethical AI training and practical industry-aligned projects.M.Sc. in Artificial Intelligence & Data Science 25
26Combines classical UX research methods with AI-enabled prototyping, predictive interaction design, and user modelling to prepare learners for tech-driven product ecosystems. Master of Design (User Experience – AI-Powered) Through this program, learners can pursue careers in fintech, investment banking, risk analysis, and AI-driven consulting.M.Sc. in Artificial Intelligence and FinancePrepares future business leaders for AI-led transformation across finance, supply chain, operations, and customer experience. MBA in AI for Business India’s pioneering integrated programme exploring algorithmic governance, digital rights, emerging technology regulation, and legal dimensions of AI.B.A. in Artificial Intelligence & Law Strengthens analytical reasoning, quantitative skills, and applied data interpretation essential for corporate analytics environments. B.Sc. in Artificial Intelligence and FinanceUndergraduate Degrees Integration with Global MOOCs & Continuing Education To further broaden access, JGU encourages students to supplement their learning with globally recognised online courses. Curated learning pathways include: JGU Online combines rigorous academic design with AI-driven learning support, industry relevance, and a robust digital governance framework. These courses ensure continuous upskilling and expose learners to global best practices in AI, analytics, andcomputational thinking. 2.3 Learning Online at JGU: A Next-Generation Digital Ecosystem Artificial Intelligence (Coursera) Big Data Analytics (Coursera)Machine Learning (Coursera) Machine Learning for Marketing Specialization 26
27At the core of JGU’s online education ecosystem is the D2L Brightspace Learning Management System, a state-ofthe-art learning platform that consolidates all academic functions into one accessible interface. Brightspace enables: To uphold fairness and transparency in online examinations, JGU employs Mercer | Mettl’s AI-enabled proctoring platform, which includes: Students are not passive consumers of online content—they actively shape, critique, and apply AI-informed knowledge across disciplines. JGU encourages project-based learning models in which students collaborate to build solutions for real-world challenges. Importantly, this system is offered at no additional cost to learners, reaffirming JGU’s commitment to accessible, high-integrity digital learning. To access the Learner’s Guide for D2L Brightspace Learning Management System, please scan the QR code.1. A Unified Digital Learning Infrastructure 2. Ensuring Academic Integrity Through AI-Enabled Assessments 3. Student-Centred AI Engagement and Hands-On Innovation Live & asynchronous classes with seamless video integration Interactive course modules featuring multimedia content, quizzes, and discussion forums Integrated analytics dashboards that track learner progress and provide personalised insights Mobile-first accessibility, ensuring that students across geographies can participate without technological barriers Continuous assessments with automated and instructor-led feedback loops 01 02 03 04 05Facial recognition & identity verification Automated detection of suspicious activities Live and recorded proctoring features Secure browser technology to minimise malpractice 27
28A prominent example is the AI-powered Mediation Chatbot Studio, spearheaded by Prof. Spriha Bhandari in partnership with the JGLS Legal Incubation Centre. This initiative brings together students from: to design, train, refine, and deploy a functional mediation chatbot. The project demonstrates how online learners can meaningfully participate in interdisciplinary LegalTech innovation while developing practical skills in AIproduct development, UX research, and collaborative problem-solving. JGU Online embeds industry-relevant content and technology training through: 5. Industry-Aligned Learning Pathways Legal engineering User experience and data designProduct management Human resources and operations Across online programmes, faculty adopt AI-driven pedagogical tools that enhance academic engagement and support learning at scale. These include: This blend of human expertise and intelligent systems creates a rich, personalised learning experience thatmirrors the dynamism of global online education leaders. 4. Integration of AI Tools in Online PedagogyAdaptive learning systems that adjust content difficulty based on student performance Automated feedback mechanisms that enable timely and personalised academic guidance Generative AI tools for ideation, drafting, coding support, and research assistance Peer learning & discussion platforms enhanced through AI moderation and summarisation Case studies from global companies AI and analytics-based capstone projects Regular online workshops, expert sessions, and employer-facing events Collaborations with external platforms such as Coursera, enabling students to pursue courses in Artificial Intelligence, Machine Learning, Big Data Analytics, and Marketing Analytics 28
29JGU’s online programmes are structured to meet the diverse needs of working professionals, early-career learners, and global students. Key features include: The result is an online learning ecosystem that is not just technologically advanced but academically robust, globally relevant, and grounded in Indian regulatory excellence. 6. Flexible, Accessible, and High-Quality Digital Education Modular course design that accommodates varied learning paces Live faculty interaction ensuring real-time academic engagement Compliance with UGC’s online degree quality framework, ensuring academic rigor equivalent to on-campus programmesRecorded lectures for self-paced revision Cross-disciplinary learning reflecting JGU’s ethos as a liberal, research-driven university 010203040529
3. JGU’s Transition to AI-Enabled Online Examinations: A University-Wide Digital Transformation3.1Background and Institutional Preparedness 3.2The 2025 Decision: Advancing a Digital-First Future Overview CASE STUDY 2025In 2025, O.P. Jindal Global University undertook one of its most significant digital reforms. Across its 12 schools, serving 16,000 students, the University transitioned from traditional pen-and-paper examinations to fully online, AI-enabled proctored assessments.The digitally accelerated transition aligned with:This cumulative preparation made the 2025 full-scale rollout smooth, reliable, and academically robust. JGU was well-prepared to implement this decision 6 months prior to its actual implementation. However, evolving logistical, academic, and environmental considerations were taken into account to make a comprehensive and error-free transition to AI-enabled examinations.Kindly note: All figures and numerical data included in this case study are approximate estimates and should be interpreted as indicative rather than exact values.JGU’s 2025 examination reform is not sudden; it is the outcome of a long-standing digital strategy. Key foundations include: 01 Rapid digital transition during COVID-19, when AI-proctored examinations became essential. 02 Online assessments integrated into all degree admissions. 03 More than 25,000 examinations successfully administered on Mercer | Mettl04 Expansion from MCQ-only tests to full-length descriptive, hybrid, and multi-modalassessments. 05 Preparedness was built by design with sufficient notices provided and voluntary testing opportunities made available without any limitations30
313.3 Scale and Execution: 2025 Semester Examinations 3.4 Environmental Impact and Sustainability Thus, the shift reflects foresight, not urgency. This places JGU’s transition to online examinations among the largest coordinated deployments of AI in Indian higher education.The 2025 semester implementation involved: The environmental gains from eliminating pen-and-paper examinations are significant. We present an assessment below based on data from 2025. Suleri, J.I., 2018. Pro-environmental printing behaviour as an indicator to reduce paper cost at work. European Journal of Sustainable Development Research, 2(3), p.38.010116,000 students Global higher education trends towards secure and tech-enabled assessment. 020212 schools and 4 research & capacity building institutes Growing demand for academic integrity with AI-based monitoring. 0303Multiple exam formats Increased expectations for flexible, accessible & student-friendly exam systems. The need to prepare students for digital-first professional environments. 0404Extensive technical support and accessibility provisions 05 AI-proctoring supported by human auditing for flagged cases 8exams per student semester 20 pagesreference sheets per exams2 semesters = 1full academic year 1tree ≈ 8,300 pages40 pagesper student (question + answer sheets) ≈ 6.2 g per A4 pageHigh-quality paper weightAssumptions used: 31
32I. One SemesterImpact II. Full Year Impact(2 Semesters) CO2 emissions avoided from paper production ≈ 23.04 tonnesof CO2Trees saved ≈ 461 treesPages eliminated ≈ 3,840,000 pages Paper mass saved ≈ 3,840,000 pages × 6.237 g≈ 23,950 kg≈ 23.95 tonnes CO2 emissions avoided directly from paperproduction≈ 46.08 tonnes of CO2Trees saved (full year) ≈ 922 treesPages avoided ≈ 3,840,000 × 2Paper mass saved ≈ 47,900 kg≈ 47.9 tonnes≈ 7,680,000 pagesAdditional CO2 Avoided from Energy Use ≈ 31 – 63 tonnes32
33III. Additional Sustainability BenefitsIV. Prevented Methane Emissions Paper weight: 47.9tonnes Standard methane-related CO2e for decomposingpaper: 0.95 tonnes CO2e per tonne of paper If paper were disposed after exams: Total methane-related emissions avoided: Landfill space avoided: ≈ 47.9 × 0.95Paper density ≈ 0.8 tonnes/m³≈ 47.9 ÷ 0.8≈ 60 m³ saved ≈ 45.5 tonnes CO2e≈1.5 liters per hour of laptopusage≈76,684,800 literswater saved≈0.6 liters per student per exam(1 exam last for 3 hrs.)≈1,15,200 liters for 1,92,000 exams taken by around 16,000 students in a yearAvoiding the production of 7,680,000 pages also saves: Energy Saved 38,400 – 76,800 kWh(Enough to power 250–500 Indian households for a month)Water used for pen-and-paperexaminations ≈ 7,68,00,000 litersWater used for onlineexaminations33
34Summary of Environmental Impact of JGU’sTransition to AI-Enabled Online Examinations in AY 2025-26This transition represents a significant sustainability gain for JGU and a notable example of environmentally consciousassessment reform in higher education.Pages avoided 7,680,000 47.9 tonnes46.08 tonnes922 trees76,684,800 liters45.5 tonnes60 m³31–63 tonnes 38,400–76,800 kWh Paper saved Direct CO2 avoided Trees saved Energy saved Water saved Landfill space avoided Methane-related CO2e avoided Additional CO2 avoided (energy) Category Annual Benefit 34
353.5 Positioning JGU in the Global Assessment Landscape The shift mirrors global transitions where major examinations such as GRE, GMAT, TOEFL, CPA, bar exams have already moved online. Through this, JGU is: Enhancing academic integrity Improving assessment analytics Preparing students for digital-first professional workflows Increasing institutional resilience Leading innovation within Indian higher education The 2025 AI-Enabled Examination Transition at O.P. Jindal Global University marks a watershed moment in global higher education. At this scale, JGU’s transition appears to be among the most ambitious university-wide deployments of AI-proctored online examinations in Indian higher education, an institution of this scale with 16,000 students across 12 schools, and an estimated eight million pages avoided annually has moved fully to AI-proctored, secure online assessments. This is not merely a technological upgrade. It represents a reimagining of learning, assessment, and academic integrity in a digital-first environment.The sustainability impact is transformative: 47.9 tonnes of paper saved, 922 trees preserved, over 100 tonnes of carbon emissions avoided, and substantial energy and water savings, setting a new benchmark for environmentally responsible assessment practices in India. Students, faculty, and administrators now operate within a digital-first ecosystem that mirrors workplace realities, enhances academic efficiency, and strengthens institutional resilience. JGU has achieved a pioneering, first-of-its-kind, university-wide model that will inspire institutions worldwide. JGU has successfully demonstrated that innovation, scale, integrity, and sustainability can coexist in higher education.35
4. AI in Teaching, Research, and Academic Innovation at JGU What “faculty-led” means in practice 4.2Aspirational Models for AI-Enabled Academic Innovation at JGU Faculty leadership is the strongest predictor of whether AI adoption in universities becomes meaningful, ethical, and discipline-relevant rather than tool-driven. Global guidance emphasizes “human capacity” (faculty capability, governance literacy, and ethical judgment) as the core enabler of responsible AI in education and research.Faculty-led AI innovation typically has four characteristics: (Faculty-led, Centre-enabled, Ethically Governed) 4.1Faculty-Led AI Innovation in Teaching & ResearchBuilding on JGU’s strong tradition of faculty-led innovation, the University is moving toward a formal Faculty AI Fellows / AI Champions model. Under this model, a small, interdisciplinary cohort of faculty members will be supported to systematically pilot AI-enabled teaching, assessment, and research workflows within their disciplines.Discipline-first designAI use is shaped by the epistemology of each field. For example, what counts as evidence, argument, originality, or harm is specifically modelled rather than being reliant on generic training. This matches international calls for context-sensitive, risk-aware use in education and research.Communities of practice over one-off workshopsHigh-performing institutions shift from isolated experimentation to structured faculty learning communities (FLCs) where instructors share prompts, assignments, failure cases, and assessment redesigns. Curriculum and assessment redesign (not just “AI use”)The most durable teaching innovations are redesigns: authentic assessment, oral defenses, process portfolios, iterative drafts with disclosure, and rubric updates aligned to learning outcomes, reducing integrity risk while improving learning.Research acceleration with integrity safeguardsFaculty-driven research innovation includes AI-assisted discovery (literature mapping, coding support, modeling, simulation) paired with reproducibility norms, documentation, and bias checks. OECD and UNESCO both flag governance and transparency as essential as adoption increases. Faculty AI Fellows / AI Champions (Emerging Model) 1.36
374. AI in Teaching, Research, and Academic Innovation at JGU These Fellows will serve as catalysts for institutional learning—documenting practices, mentoring peers, and contributing to shared resources on responsible AI use in higher education. Rather than positioning AI expertise as centralized technical capacity, this model reinforces JGU’s commitment to discipline-embedded, faculty-owned innovation. This approach reflects JGU’s broader philosophy: AI adoption succeeds when academic leadership, not technology alone, shapes pedagogical and research transformation. JGU envisions a structured mini-grants ecosystem to support faculty experimentation at the intersection of AI, pedagogy, and research. These grants will prioritise projects that redesign courses, assessments, or research workflows in response to AI-enabled knowledge environments. Funding will be linked to clearly defined scholarly outputs such as redesigned assessment models, documented AI-supported research methods, dataset annotations, tool evaluation notes, or publishable teaching and research case studies. In doing so, JGU aims to ensure that experimentation contributes to institutional knowledge, peer learning, and external visibility, rather than remaining isolated or ad hoc. This model aligns with JGU’s research-intensive identity, reinforcing the idea that teaching innovation is itself a form of scholarly practice.2. Outcome-Linked Mini-Grants for Curriculum and Research InnovationAs AI use expands across disciplines, JGU is strengthening Faculty Learning Communities (FLCs) as a core mechanism for shared sense-making and collective governance. These cross-school communities will convene regularly to exchange experiences, debate emerging challenges, and co-develop practical resources. FLC outputs will include shared “playbooks” on: • AI-informed assignment and assessment design • Disclosure and transparency norms. • Discipline-sensitive academic integrity practices • Ethical, legal, and methodological considerations in AI useBy foregrounding peer dialogue and co-creation, this model ensures that AI-related norms at JGU emerge from academic communities themselves consistent with the University’s emphasis on academic freedom, reflexivity, and ethical responsibility.3. Faculty Learning Communities (FLCs) on AI in Teaching and Research JGU’s research centres, teaching and learning units, and interdisciplinary platforms are evolving as not only drivers but also enablers of AI innovation. Centres such as the Jindal Centre for Digital Sciences (JCDS), CSCAILR, IDEATE Lab, and IDEAS provide evaluation frameworks, infrastructure, policy alignment, and platforms for dissemination of outputs and thought leadership while faculty remain the authors of innovation.This centre-led enablement model allows JGU to scale successful faculty initiatives, align them with institutional priorities, and showcase them externally, without diluting disciplinary specificity or scholarly ownership. It also ensures coherence with national and global frameworks, including NEP 2020, UNESCO’s Ethical AI principles, and emerging UGC norms. Together, faculty leadership and centre-based support create a sustainable ecosystem where AI strengthens academic rigor, interdisciplinarity, and societal relevance. 4. Centre-Led Enablement with Faculty Ownership37
38JGU implemented Mercer | Mettl AI Proctoring to streamline examination processes and significantly reduce faculty involvement in manual invigilation and administrative supervision.This was not merely a digital upgrade. It was a strategic institutional decision to reallocate academic time toward research productivity.5. How AI-Proctored Examinations Converted Administrative Efficiency into Research Growth5.2 The Immediate Institutional Impact5.1 BackgroundA transformative shift in faculty time allocation: In workforce terms, this equates to:• 12 working days saved per faculty member per year• 36 calendar years of academic time annually• 1,100 faculty members impacted• Approximately 55 full-time faculty-years of productive capacity (based on ~240 working days per year) • 13,200 faculty-days freed annually• 105,600 academic hours generated every year• This was not simply operational efficiency• It created measurable, research-ready capacityHow AI Enabled the ShiftAI proctoring replaced manual examination supervision, reducing:• Physical invigilation hours• Administrative oversight• Complex scheduling coordination• Post-examination reporting burden• Faculty time was shifted from supervision to scholarship.5.3 Automation ofAdministrative LoadCASE STUDY JGU38
39Each faculty member regained approximately 96 hours annually (12 days × 8 hours).In academic publishing terms, a Scopusindexed paper typically requires:Strategic Outcome:• Improved potential for high-quality research• Improved morale from recognition • Increased quality of teaching due to research• High impact factor from scholarly outputs• 80–120 hours when data is already available• 0.5 to 1 additional Scopus-indexed paper annually, depending on discipline and research complexity.• 200–300 hours when new data collection and complex analysis are involvedThis means that per faculty member, the reclaimed time could realistically support:Institutionally, the 105,600 hours freed per year translate into:Even if only 30–40% of the saved time is effectively converted into research execution, JGU still unlocks the approximate capacity for:250–500additional Scopus-indexed publications annuallyThis is a conservative and strategically defensible estimate.By automating examination processes, JGU unlocked institutional research capacity by converting administrative time into measurable academic output, strengthening global standing, and creating a scalable model for researchdriven university growth.5.4 Creation of DedicatedResearch TimeAn increase in Scopus-indexed publications leads to:• Stronger international collaboration potential• Enhanced grant competitiveness • Increased institutional research reputation• Higher citations per faculty5.5 Direct Impact on Scopus-Indexed Output and GlobalPositioning~1,320 papers/year(if average effort ≈ 80 hours per paper)~880 papers/year(if ≈ 120 hours per paper)~528 papers/year(if ≈ 200 hours per paper)~352 papers/year(if ≈ 300 hours per paper)Kindly note: All figures and numerical data included in this case study are approximate estimates and should be interpreted as indicative rather than exact values.Even allowing for a 50%margin of error, the data still points to approximately 100 publications being produced each year, which remains a remarkably significant output.39
6. Research Showcase: Growth in AI-Related Scholarship at JGU (2020–2025) JGU has witnessed a sustained and accelerating growth in scholarly publications in Artificial Intelligence and AI-adjacent research areas over the period 2020–2025. Early outputs in 2020 and 2021 reflect initial engagement with digital and computational themes across select disciplines. From 2022 onwards, publication activity began to rise more visibly as faculty increasingly integrated AI-enabled methods and technology-focused questions into their research. This integrated framework positions JGU not only as an adopter of AI, but as a norm-setter for responsible, scholarly, and institutionally coherent AI integration—a model that can be meaningfully adapted by other universities in India and globally. Faculty-led Interdisciplinary Ethically governed, not compliance-driven Research-intensive, not purely instructional Taken together, these models reflect JGU’s evolving approach to AI in higher education: 6.1 Growth in number of publications in AI & allied fieldsNo. of PublicationsYears ( Calendar Year)No. of Publications in AI & allied fields2020 2020 2021 2022 2023 2024 20250 140 160 180 2021 20222023 2024 2025 20 40 60 80 100 120 40
6. Research Showcase: Growth in AI-Related Scholarship at JGU (2020–2025) JGU saw a massive50%increase in AI-related research output in 2023-24 marking a significant inflection point. This growth has been driven by expanding faculty interest, cross-school collaborations, and a strengthening institutional focus on technology-enabled scholarship within broader social, legal, and ethical contexts. It is also noteworthy that JGU began publishing AI-related research as early as 2020 demonstrating early academy engagement.Overall, the trajectory highlights JGU’s steady consolidation as a university actively contributing to AI-related research, while maintaining scholarly rigor and disciplinary depth. Alongside publication growth, JGU has seen more than 55% increase in the number of authors contributing to AIrelated research between 2023-24 as compared to its initial numbers in 2021-22. It is also noteworthy that JGU began engaging with faculty authors in AI as early as 2020 demonstrating early likely academic engagement.The expansion becomes pronounced in 2023, with 2024 recording the highest level of faculty participation to date. This reflects broader institutional engagement, increased interdisciplinary collaboration, and the emergence of AI as a shared research concern across humanities, social sciences, law, management, psychology, and applied disciplines. Taken together, these trends indicate a structural shift at JGU where AI-related research is no longer confined to isolated initiatives, but increasingly embedded across the university’s research culture. 6.2Growth in number of Authors in AI & allied fields2020 2021 2022 2023 2024 2025No. of AuthorsYears ( Calendar Year)No. of Authors in AI & allied fields2020 0 242021 20222023 2024 2025 2 4 6 8 10 12 14 16 20 2241
42Strategic Significance The parallel rise in both research outputs and faculty participation demonstrates that JGU’s approach to AI ismaturing from experimentation to institutional capacity-building. This growth reflects: These indicators position JGU as an emerging leader in AI-enabled academic research within India and globally, offering a scalable and responsible model for higher education institutions.Faculty-led collaborative research at JGU has increasingly extended onto the global stage, reflecting the University’s growing influence across international research networks and policy-relevant scholarship. These collaborations demonstrate how AI-enabled, technology-aware, and interdisciplinary research at JGU contributes directly to global challenges and the United Nations Sustainable Development Goals (SDGs). Faculty-led innovation supported byinterdisciplinary centres ResponsibleAI adoptionAn expanding culture of technology-aware,ethically groundedscholarship 6.3 Faculty Research Highlights: Global Collaboration and Societal ImpactProfessor Abhiroop Chowdhury leads international research on the application of artificial intelligence to marine pollution monitoring and environmental protection. Working in collaboration with leading Asian universities and government agencies, this work directly contributes to SDG 14 (Life Below Water) and SDG 9 (Industry, Innovation, and Infrastructure), demonstrating how AI-driven methodologies can support evidence-based environmental governance and sustainability outcomes. Advancing AI for Environmental SustainabilityProfessor Sidharth Chauhan has contributed to an ongoing comparative research collaboration relating to technology, especially related to AI, antitrust law and regulation, as part of the BRICS Law Schools Consortium on the Law of Digital Technologies Working Group. As Director of the Cyril Shroff Centre for AI, Law and Regulation, his work highlights JGU’s role at the forefront of AI governance both in India and globally.Big Tech Regulation, Competition Law and AI 42
43Professor Thibault Weigelt has contributed to major international reports addressing human rights and poverty, supporting the development of responsible and transparent impact evaluation frameworks. His work strengthens the ethical application of data-driven and AI-supported analysis in assessing social and economic inequalities, reinforcing JGU’s commitment to socially responsive and globally engaged research. AI, Human Rights, and GlobalPoverty Assessment Professor Piyush Pranjal’s research bridges emerging technological paradigms such as Industry 5.0 with conscious entrepreneurship and legal advocacy for mental health. By linking technology transformation with human-centred values and wellbeing, this work highlights how AI and advanced technologies can be aligned with inclusive growth, ethical enterprise, and social justice.Technology Transformation &Human Wellbeing Collaborative research led by Professor Max Steuer and Professor Siddharth Kanojia focuses on constitutional resilience, antiautocratization, and geopolitical legal studies. Their work engages with global debates on democratic governance, constitutional safeguards, and the rule of law, reinforcing JGU’s role as a contributor to international legal and governance scholarship in an era of technological and political transformation. Global Legal Scholarship & Democratic ResilienceAt the Jindal School of Liberal Arts and Humanities (JSLH), faculty integrate AI into digital humanities, visual arts, and interdisciplinary research, culminating in undergraduate and faculty-led research conferences on Artificial Intelligence, Interdisciplinarity, and the Future of Liberal Arts. At the Jindal Global Law School (JGLS), faculty research and teaching engage critically with AI governance, regulation, and ethics, including the launch of India’s first B.A. programme in AI and Law, bridging legal scholarship and emerging technologies. 43
44On 17 February, the Cyril Shroff Centre for AI, Law and Regulation convened a strategically curated, high-level international engagement at the JGU International Academy, positioning the University as a serious institutional actor in the global architecture of AI governance. Held on the sidelines of the India AI Impact Summit, the event was organized in partnership with PAIRS – Participatory AI Research & Practice Symposium and the UNESCO Global Civil Society Organizations and Academic Network on AI Ethics and PolicyThe convening brought together over 30 distinguished scholars, civil society leaders, and policy practitioners from more than five countries, including participants from Chatham House, the University of Cambridge, Sciences Po, and the University of California, Berkeley, alongside leading global think tanks and governance institutions working at the frontier of AI regulation.• PAIRS Roundtable on Transparency, Law and Participatory AI• PAIRS Opening Plenary Session• UNESCO Panel on Widening Civic Participation in AI GovernanceThe programme comprised three interconnected engagements:A foundational premise of the discussions was that AI-related harms are rarely confined to technical malfunction; they materialise in social systems — in welfare infrastructures, public procurement mechanisms, regulatory blind spots, and asymmetries of power. Ethical AI, therefore, cannot remain declaratory. It must be operational.The sessions interrogated how to transition from principle-based AI ethics frameworks to enforceable governance instruments, focusing on:7.1 Designing Governance Beyond Rhetoric• Embedding transparency requirements directly into procurement and public decisionmaking pipelines• Designing documentation and audit standards intelligible to communities, regulators, and implementers alike• Institutionalising civic participation as an ongoing governance function rather than episodic consultation• Bridging doctrinal legal scholarship, empirical policy research, and administrative practice• The roundtable methodology facilitated granular exchange at the level of design architecture — examining how accountability can be engineered structurally, not merely advocated normatively.7. AI Governance & Global Engagement 44
45By convening this cross-continental, interdisciplinary dialogue in parallel with a national AI summit, the University demonstrated its capacity to operate as a neutral, intellectually rigorous, and globally networked platform for governance innovation. The engagement strengthened strategic linkages with leading research universities and international policy organisations, while advancing the University’s broader commitment to rights-respecting, implementation-ready, and globally interoperable AI governance models.Crucially, the initiative signals a shift from participation in global AI debates to active institutional leadership in shaping governance design. The outcomes of the convening are expected to inform future collaborative research programmes, joint policy interventions, and sustained governance-building partnerships at national and transnational levels.Through this engagement, the University reaffirmed its role not only as a site of academic inquiry, but as an architect of emerging regulatory thought and participatory governance frameworks in the age of artificial intelligence.7.2 Institutional Leadership in Global AI Governance45
468. AI’s Role in Streamlining Campus Operations at JGU46
47JGU has developed a robust digital ecosystem through sustained investments in in-house platforms, network infrastructure, access systems, and service integration. This ecosystem provides a strong operational foundation upon which AI can be layered to streamline campus operations in a coordinated and secure manner. At the centre of campus operations is the MyJGU portal, which functions as a unified digital gateway for students, faculty, and staff. With modules covering Student Lifecycle Management (SLCM), Gatepass, workflow approvals, venue and shuttle bookings, and administrative services, AI can be deployed to intelligently orchestrate workflows across departments. For example, AI-driven process automation can prioritise approvals, flag delays, and route requests to the appropriate offices based on urgency and historical resolution patterns. The expanded Centralised IT Service Desk, with enhanced ticketing, escalation workflows, and SLA tracking, can further benefit from AI-enabled ticket classification, predictive issue detection, and automated resolution suggestions. This reduces response time and improves service quality across academic and administrative units. AI integration across these interconnected platforms enables a shift from reactive service delivery towards proactive, data-driven management.JGU has also digitised key compliance and documentation processes, creating structured repositories that enhance accessibility, audit-readiness, and institutional reporting. Data consolidation across departments supports rankings submissions, accreditation processes, and performance benchmarking through evidence-based documentation.The University’s sustained investment in secure network infrastructure, controlled access systems, and integrated service platforms has created a resilient digital ecosystem capable of supporting future AI layering. Real-time data capture and system interoperability already allow departments to monitor operations more efficiently and coordinate actions with greater precision.Additionally, digital communication platforms enable structured engagement between students, faculty, and staff, reducing operational friction and improving responsiveness. Collectively, these ongoing initiatives demonstrate that JGU is beyond the early stages of its digital transformation journey. Rather, it is advancing from a strong and stable technological foundation towards intelligent, AI-enabled optimization.47
48JGU has implemented multiple smart campus systems that can be significantly enhanced through AI integration. The Smart People Count System installed in dining areas already enables real-time monitoring of footfall. AI can build on this data to forecast peak usage, optimize meal planning, manage overcrowding, and support operational decision-making contributing both to efficiency and sustainability. The university’s investment in digital classroom transformation including touchenabled interactive panels, enhanced AV capabilities, and hybrid teaching support can be complemented by AI-based learning analytics. These tools can facilitate a better understanding of engagement patterns, qualitative content delivery, and improved learning outcomes in blended learning environment. These chatbots can provide real-time assistance for admissions queries, academic services, IT support, library access, and campus navigation drawing on structured data from institutional systems rather than generic responses. AI can meaningfully advance sustainability at JGU by optimising the use of physical and digital resources. Insights derived from data can ensure efficient energy consumption, reduce overcrowding as well as facilitate evidence-based infrastructure planning.8.1 Smart Campus Systems & AI Chatbots AI-powered chatbots can be integrated across: MyJGU portalGlobal Library website Online admission platforms IT Service Desk 48
498.2 JGU’s Global Library Digitisation Initiatives:Initiatives can be enhanced with AI-assisted discovery, personalized research recommendations, and metadata enrichment, reducing redundant resource usage and supporting sustainable research practices. Beyond providing access to external resources, the Global Library at JGU is actively committed to enhancing the visibility of the university’s scholarly work. It manages a publications repository known as Pure, which currently contains nearly 8,400 research papers authored by JGU scholars. In addition, the library has established Preserve, a preprint server designed to host working papers and early-stage research outputs produced by JGU faculty and researchers. To protect institutional memory and preserve materials of historical and academic significance, the library has also developed digital archives that support long-term archival preservation and research use.For mental health support, AI-enabled tools integrated into MyJGU can provide early-stage self-help resources, appointment guidance, and wellbeing nudges. These tools are not substitutes for counselling services but act as support mechanisms for early awareness and access, particularly during high-stress academic periods. Book Finder Online research guides Access to 80,000+ print titles 3,00,000+ eBooks14,000+ e-journals80+ research databases Global Library publications repository Preserve (preprint server) Digital archives for institutional memory49
8.3 Data Governance, Security & Ethical Use JGU’s extensive upgrades to network security and infrastructure—including high-capacity switches, next-generation access points, and enhanced firewall systems—form a critical backbone for responsible AI deployment. AI systems operating at JGU must be governed by clear principles that include:Dataminimisation Role-basedaccess control Transparency inautomateddecision-makingHuman oversightin sensitiveprocesses AI-supported Face Recognition Terminals50