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cs.LG2024★ 1 cited
AI-EDI-SPACE: A Co-designed Dataset for Evaluating the Quality of Public Spaces
Shreeyash Gowaikar, Hugo Berard, Rashid Mushkani +3
Advancements in AI heavily rely on large-scale datasets meticulously curated and annotated for training. However, concerns persist regarding the transparency and context of data co…
cs.LG2024
From Efficiency to Equity: Measuring Fairness in Preference Learning
Shreeyash Gowaikar, Hugo Berard, Rashid Mushkani +1
As AI systems, particularly generative models, increasingly influence decision-making, ensuring that they are able to fairly represent diverse human preferences becomes crucial. Th…