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ACROCPoLis: A Descriptive Framework for Making Sense of Fairness
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.
Interrogating the Black Box: Transparency through Information-Seeking Dialogues
This formal dialogue framework is the main contribution of this paper.
Contestable Black Boxes
The right to contest a decision with consequences on individuals or the society is a well-established democratic right.
Governance by Glass-Box: Implementing Transparent Moral Bounds for AI Behaviour
These advantages will have an impact on the well-being of AI systems users at large, building their trust and providing them with concrete knowledge on how systems adhere to moral values.
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