Responsible AI
Ethics, Bias & Safety
- Saturday, 6 February 2027
- 10:00 am – 3:30 pm IST
- Main Seminar Hall, Block A, College of Engineering Kidangoor
A panel of researchers, an industry practitioner and a lawyer take on the hard questions: bias in datasets, explainability, deepfakes, safety evaluations and India's evolving AI policy. Bring your questions — half the session is open floor.
You'll be able to…
- Spot common sources of bias in data and models
- Apply a lightweight fairness checklist to your project
- Understand the basics of AI safety evaluation
- Discuss AI regulation in India and worldwide
Prerequisites
- None
What to bring
- Your questions
- An open mind
Agenda
- 10:00Opening provocation
- 10:30Panel: Who is AI built for?
- 12:00Case-study breakouts
- 13:00Lunch
- 14:00Open floor Q&A
- 15:00Summit briefing for Step 12
Speakers & mentors
Dr. Joseph Mathew
Principal Scientist, AI Safety, Indus Research Institute
Joseph leads evaluation research on large language models and advises policy bodies on responsible AI deployment.
Dr. Meera Krishnan
Assistant Professor, CSE, College of Engineering Kidangoor
Meera researches interpretable machine learning and fairness in healthcare models. She has supervised 20+ student ML projects.
Nikhil Raj
Founder & CTO, AgentForge
Nikhil's startup builds AI agents for small businesses across Kerala. He has judged 15+ hackathons and still loves the 3 a.m. energy.
Venue
Main Seminar Hall, Block A, College of Engineering Kidangoor
Kidangoor South P.O., Kottayam, Kerala 686583, India