Two-Day Immersive Workshop · Compressed Schedule

Faculty AI Orientation Programme

A focused orientation for faculty members on AI-enabled teaching, research workflows, academic integrity, institutional policy alignment, and responsible adoption of AI tools.

What the programme covers

The compressed design preserves the essential sequence: fundamentals, ethics, research tools, teaching tools, policy alignment, and reflection.

01

AI Fundamentals

Demystifies machine learning, LLMs, predictive analytics, and neural-network intuition.

02

Ethics & Fairness

Explores bias, authorship, data provenance, academic integrity, and institutional accountability.

03

Research & Teaching Tools

Includes live demos of Elicit, SciSpace, NotebookLM, Perplexity, Claude, ChatGPT, and more.

04

Policy Alignment

Connects classroom practice with NEP 2020, UGC, AICTE, NAAC/NBA, and departmental AI charters.

Day-wise schedule

Select a day to view the stream-specific timetable. Both days include a common inaugural session and a one-hour lunch break.

Day 1 — Science, Arts & Humanities

10:00 AM – 3:00 PM
10:00 – 10:15 15 min

Inaugural & Welcome

Chief Guest address, lamp lighting, programme vision by GreenAI Director, brief remarks by Principal/Dean, and overview of two-day goals.

Plenary
10:15 – 10:45 30 min

Fundamentals of AI — How AI Thinks

ML vs. rule-based systems, large language models demystified, neural networks through analogy, with examples from biology, ecology, and literary pattern analysis.

Lecture + Q&A
10:45 – 11:45 60 min

AI Tools for Research — Science & Humanities Strand

Live demos of Elicit, Semantic Scholar, SciSpace, Research Rabbit, Zotero AI, NotebookLM, Voyant Tools, JSTOR AI, and digital corpus analysis.

Demo
11:45 – 12:15 30 min

AI Policy, UGC Guidelines & NEP 2020 Alignment

UGC draft framework on Generative AI in HE, NEP 2020 digital competency goals, AICTE advisory, and department-level responsible AI use statements.

Policy
12:15 – 1:15 60 min

Lunch & Informal Networking

Optional resource booklet distribution and AI poster display in the breakout area.

Break
1:15 – 1:45 30 min

AI Ethics, Fairness & DPDP Act

Algorithmic bias, data provenance, fairness in research outputs, IP and authorship, IndiaAI Mission's ethical guardrails, ethical red-flag spotting and fundamentals on data protection and DPDP Act.

Online Session
1:45 – 2:15 30 min

DIY Sprint

Participants get their first hands-on experience with the GreenAI workbench, working through discipline-specific prompt cards tailored for Science, Arts & Humanities. Proactive strategies for preventing hallucination and rigorous citation practices woven throughout.

Hands-On
2:15 – 3:00 45 min

AI Tools for Teaching — Pedagogy & Classroom Design

Lesson planning with Claude/ChatGPT, rubric and quiz generation, Canva AI, Gamma.app, MagicSchool.ai, curriculum scaffolding, and responsible use policy drafting.

Pedagogy

Day 2 — Commerce, Management & Economics

10:00 AM – 3:00 PM
10:00 – 10:15 15 min

Inaugural & Welcome

Chief Guest address, lamp lighting, programme vision by GreenAI Director, brief remarks by Principal/Dean, and overview of two-day goals.

Plenary
10:15 – 11:00 45 min

How AI Thinks

ML vs. rule-based systems, large language models demystified, neural networks through analogy, with examples from biology, ecology, and literary pattern analysis.

Lecture + Q&A
11:00 – 11:45 45 min

AI Tools for Research — Commerce & Management Strand

Elicit and Consensus for systematic reviews, Perplexity for market intelligence, SPSS with AI assist, ATLAS.ti, Bloomberg GPT overview, Connected Papers, and Mendeley AI.

Demo
11:45 – 12:30 45 min

AI Policy,AI ethics, AICTE Guidelines & Accreditation Implications

AI in NAAC/NBA documentation, AICTE model curriculum for AI literacy, departmental AI use charter, IQAC integration of AI audit trails, and policy Q&A.

Policy
12:30 – 1:30 60 min

Lunch & Informal Networking

Optional AI tools reference card distribution and panel preview for the afternoon.

Break
1:30 – 2:15 45 min

DIY Sprint

Participants get their first hands-on experience with the GreenAI workbench, working through discipline-specific prompt cards tailored for Commerce, Management & Economics. Proactive strategies for preventing hallucination and rigorous citation practices woven throughout.

Hands-On
2:15 – 3:00 45 min

AI Tools for Teaching — Case Pedagogy & Simulation

Generating business case studies with Claude, building simulations with ChatGPT, Excel Copilot, Power BI AI narratives, Gamma.app, and AI-resistant assessments.

Pedagogy