Archive · 24 Jul 2026
IIIT-B Students Explore AI Ethics in Paris Immersion Programme
Fifteen students from IIIT-Bangalore went to Paris for a special programme about AI and ethics.
They learned about how to use AI responsibly and visited important places like UNESCO.
They also worked on a project to predict house prices and presented their ideas.
This programme helps students understand AI better and prepares them to work with people from different countries.
It also allows students from France to visit IIIT-Bangalore in the future.
15 IIIT-Bangalore students participated in an AI and Ethics immersion programme in Paris.
The programme was organized under a MoU between IIIT-Bangalore and Aivancity School of AI & Data.
Students attended lectures, discussions, and interactive sessions on AI, business, ethics, and society.
They visited UNESCO Headquarters and other key institutions to understand global AI initiatives.
Students completed a House Price Prediction project, integrating technical knowledge with business strategy.
- Who
- 15 first-year BTech students from IIIT-Bangalore's AI&DS programme
- What
- International learning immersion programme on AI and Ethics
- When
- Not specified
- Where
- Aivancity School of AI & Data for Business & Society, Paris, France
- Why
- To gain exposure to global developments in AI, ethics, and responsible innovation
Academic Collaboration
Cultural Exchange
Programme Objectives
Academic Collaboration
Focus on AI ethics, responsible innovation, and global academic engagement.
Cultural Exchange
Promote cultural understanding and international partnerships.
- Institution
- International Institute of Information Technology Bangalore (IIIT-Bangalore)
- Programme Location
- Aivancity School of AI & Data for Business & Society, Paris, France
- Number of Students
- 15
- Programme Duration
- Short course on AI and Ethics
- Key Visits
- UNESCO Headquarters, Région Île-de-France offices, Keyrus
- Reciprocal Exchanges
- Aivancity students to visit IIIT-B in 2025 and 2026
- Project
- House Price Prediction with business model development