A hands-on, expert-led intensive for faculty in Humanities, Social Sciences, and Law — by leading researchers from IIT Kharagpur, IISER Kolkata, WBNUJS. No prior tech experience required. Leave with real skills, a department policy, and a certificate.
Opening by GreenAI and SNU leadership. A frank, non-technical reckoning with where generative AI stands today — what it can and cannot do, why it changes the stakes for Humanities and Law specifically, and what this day is designed to achieve. Just an honest framing to anchor everything that follows.
Speaker: Prof. Dr. Anupam Basu · Vice Chancellor, Sister Nivedita University
Prof. Dr. Amrita Basu · School of Cognitive Science, Jadavpur University
Prof. Aditi Nath Sarkar · Cultural Historian, Dhirubhai Ambani University
Prof. Dr. Pabitra Mitra · Department of Computer Science & Engineering, IIT Kharagpur
Dr. Prasenjit Majumder · Founder Director & Principal Scientist, GreenAI Services
A seamlessly integrated block that moves between concept and practice with no hard internal boundary. The conceptual thread covers how large language models actually work — hallucination, bias, prompt design as an academic skill, and a forward look at where AI is heading. Running through this in parallel: participants get their first hands-on experience with the GreenAI Lab, working through discipline-specific prompt cards tailored for Humanities, Social Sciences and Law. Proactive strategies for preventing hallucination and rigorous citation practices woven throughout.
Speaker: Dr. Prasenjit Majumder · Founder Director & Principal Scientist, GreenAI Services
A deliberate reset between the extended instructional block and the capstone project — so you arrive at independent work with a clear head.
The centrepiece of the day. Participants work from a shared corpus of primary source material — and pursue a structured inquiry from the vantage point of their own discipline. Historians, sociologists, legal scholars, and others each bring their disciplinary lens to the same material, surfacing questions about institutional evolution, social change, and interpretive authority. AI tools are available as a research aid; their use is optional. Every participant submits a single report of their findings by the end of the session. Facilitator-supported, self-directed.
A genuine, unstructured break — positioned deliberately after the most cognitively demanding block of the day. Time to recharge, connect and decompress before the afternoon sessions.
This session maps out where AI is already making a measurable difference in Humanities and Law teaching and research — from multilingual source analysis and archival search acceleration to qualitative data synthesis and legal precedent mapping. Includes a live demonstration of VidhiLab, a multilingual AI tool built specifically for legal research in the Indian context. Concrete, applicable, and grounded in real academic workflows.
Speaker: Prof. Dr. Kripabandhu Ghosh · Department of Computational and Data Sciences, IISER Kolkata
Subinay Adhikary · Department of Computational and Data Sciences, IISER Kolkata
Delivered live online, this extended session reframes AI from raw capability to responsible, sustainable use. The conversation moves from the hidden energy and resource cost of large AI models, to the ethics of responsible use as an extension of academic integrity, to what it practically means to match the scale of your AI tool to the actual scale of your task. A perspective that will change how you think about every AI choice you make — not just today, but going forward.
Speaker: Prof. Dr. Pabitra Mitra · Department of Computer Science & Engineering, IIT Kharagpur
Informal networking alongside a live GreenAI Lab kiosk. Speak directly with the GreenAI team about departmental deployment, data sovereignty, and what an ongoing subscription looks like for your department.
SNU AI Policy & AI Lab: Walkthrough of the SNU AI policy framework, with open input from faculty on department-specific clauses. Presentation of the GreenAI AI Lab as an ongoing departmental service. Certification and close.
The closing session moves from discussion to decisions.
Data Protection & Policy Grounding: A targeted session on what data protection law actually requires of academics using AI tools — grounded in DPDP Act 2023 obligations and their real implications for institutional AI adoption, with grounding in NEP 2020 and UGC 2023 mandates. A walkthrough of the SNU AI policy framework, with open input from faculty on department-specific clauses.
Speaker: Prof. Dr. Shouvik Kumar Guha · West Bengal National University of Juridical Sciences (WBNUJS)
This programme brings together researchers, legal scholars, social scientists, and AI practitioners from some of India's foremost institutions — each chosen for the depth of their expertise and the directness of its relevance to Humanities and Law.
Archival search, multilingual source synthesis, and contextual research at scale.
Judgment analysis, precedent mapping, statutory interpretation, and moot preparation.
Multilingual corpus work, discourse analysis, translation studies, and Indic AI tools.
Close reading augmentation, comparative analysis, and AI-assisted pedagogical design.
Policy text analysis, comparative political discourse, and governance document review.
Qualitative data coding, interview synthesis, ethnographic note organisation, and thematic mapping.
A working critical vocabulary for AI tailored to Humanities and Law — so you can evaluate tools independently, not just receive expert opinion about them.
Real time with AI tools on real academic tasks — not demo content designed to impress. You will have done the work, not watched someone else do it.
A discipline-specific research output — produced by you, on real primary source material — that demonstrates what AI-assisted inquiry actually looks like in your field.
A co-created, institution-specific one-page policy framework ready for departmental adoption — covering student use, research integrity, and DPDP Act 2023 compliance.
Colleagues across departments navigating the same questions — a community of practice that does not end when the day does.
A GreenAI-issued certificate of AI faculty development, aligned with UGC 2023 Faculty Development Programme guidelines.
Most AI workshops end with awareness. This one ends with a document your department can actually use. The closing policy session uses your department's own conversations from the day as raw material — not a generic template filled in afterwards.
The resulting policy covers what AI may and may not be used for in student work, research, and administrative communication — grounded in NEP 2020's emphasis on critical thinking, UGC 2023 guidelines, and DPDP Act 2023 data compliance requirements.
GreenAI provides the structured template; departments complete and own their version. SNU receives a consolidated draft for institution-wide adoption.
When and how students may use AI in assessments, research, and submissions — with discipline-specific nuance for Law versus Humanities.
AI use in grant applications, publications, and peer review — aligned with journal and funding body requirements.
What institutional, student, and research data may be entered into AI systems — and what must remain offline.
How AI should serve — and not replace — critical thinking, close reading, and disciplinary rigour in the classroom.
A built-in review mechanism to keep the policy current as both the technology and the regulatory landscape evolve.
This programme measures real change — not just satisfaction. Data is collected before, during, and after the event to produce meaningful insights for participants, departments, and the institution.
The capstone isn't just an exercise — it's a submission. Each participant produces a single report from the day's primary source work, reviewed after the event. What you chose to look at, and how you looked at it, tells us something.
Five days out, we check back in. Not to tick boxes — to find out what stayed with you, what shifted, and what is still unresolved. The responses, alongside capstone submissions and Workbench signals from the day, are compiled into a participation insights report shared with SNU.
Certificates go out at the five-day mark — once submissions have been reviewed and the follow-up is in. UGC-aligned, issued per participant, and tied to the programme rather than to any test. Something worth keeping on record.
The AI Lab environment you work in throughout the day is available as an ongoing departmental subscription — a secure, sovereign AI platform built on GreenAI's India-hosted infrastructure. No individual accounts, no personal API keys, no data leaving India.
Presented in collaboration with