An Initiative of

Supported by

visuals Lerend netwerk

Date

10 DEC 2024

Entrance fee

Free

Time

10:00 AM - 1:00 PM

Address

Cantersteen 16, 1000 Brussels

Register now!

Learning Community: Best practices for sustainable GenAI

Offline

Are you worried about the ecological footprint of your GenAI use? Is your organisation currently implementing GenAI? Join us for the next meet-up of the Learning Community ‘AI and ethics in practice’ on December 10 to discuss the ecological sustainability of GenAI. How can we make sure to gain the benefits of GenAI in the long term, while mitigating the negative effects as much as possible? Experts Erik Mannens and Alexandra Papageorgiou will share their view and best practices in a testimonial and we also invite you to share your knowledge, experiences and questions during the discussions.

This gathering of the learning community is a collaboration between the Knowledge Centre Data & Society and SustAIn.Brussels. The meeting will take place at FARI in Brussels. This will be an offline meeting, online participation will not be possible.

Who is this Learning Community for?

The Learning Community ‘AI and ethics in practice’ focuses specifically on the application of ethics and social aspects in the development, implementation and use of data and AI applications. We therefore focus specifically on professionals who are in practice, in their daily work, dealing with ethical and social issues surrounding data & AI.

Practical

– When: Tuesday 10/12/2024
– Time: 10h – 13h (networking lunch from 12h – 13h)
– Where? FARI, Cantersteen 16, Brussels
– Topic: Best practices for sustainable GenAI
– Language: English

Programme

– 09h30: Doors open & coffee
– 10h00: Welcome
– 10h10: Expert talks on sustainable GenAI and Q&A
– 10h50: Discussion and peer learning
– 11h45: Wrap-up
– 12h00 – 13h00: Networking Lunch

Keynote Speakers

– Erik Mannens (Director of IDLAb and Professor)
– Alexandra Papageorgiou (Researcher at KU Leuven Centre for IT and IP Law)
– Rob Heyman (Professor imec-SMIT, VUB and Lead Knowledge Centre Data & Society)

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