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Fair for groups, unfair for individuals: Closing the gap in AI fairness.
Fairness for recommender system users can be evaluated for groups (e.g., based on users' demographic attributes) and for individuals (e.g., without considering their demographic attributes).

WAI CONTENT TEAM
5 days ago2 min read


WAILabs Psych Corner: How AI Interactional Systems Shape Psychology - And Why Gender Matters
As a researcher at the intersection of psychology, human-computer interaction (HCI), and AI ethics, my work has long been driven by a simple yet urgent question: How do interactive and interactional systems - not just as tools, but as entities and experience creators - shape our emotions, behaviours, interactions with others and even our sense of self?

WAI CONTENT TEAM
May 275 min read
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