News

ACROCPoLis: A Descriptive Framework for Making Sense of Fairness
26 Sep 2023
Fairness is central to the ethical and responsible development and use of AI systems, with a large number of frameworks and formal notions of algorithmic fairness being available. However, many of the fairness solutions proposed revolve around technical considerations and not the needs of and consequences for the most impacted communities.

100 Most Influential People in AI
18 Sep 2023
On September 7th, 2023, global media platform and magazine TIME published an article spotlighting TIME100 Most Influential People in AI.

Conditional Abstraction Trees for Sample-Efficient Reinforcement Learning
31 Aug 2023
In many real-world problems, the learning agent needs to learn a problem’s abstractions and solution simultaneously. However, most such abstractions need to be designed and refined by hand for different problems and domains of application.

Dealing with expert bias in collective decision-making
12 Jul 2023
Quite some real-world problems can be formulated as decision-making problems wherein one must repeatedly make an appropriate choice from a set of alternatives.

Dealing with expert bias in collective decision-making
02 May 2023
In their paper published in the AI journal, CHAI Tom Lenaerts and Axel Abels argue that quite some real-world problems can be formulated as decision-making problems wherein one must repeatedly make an appropriate choice from a set of alternatives.