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Something felt ‘off’ – how AI messed with our human research, and what we learned
Transparent AI Disclosure Obligations: Who, What, When, Where, Why, How
On the Societal Impact of Open Foundation Models
Face recognition technology follows a long analog history of surveillance and control based on identifying physical features
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards
Dialect prejudice predicts AI decisions about people's character, employability, and criminality
Emotion-tracking AI on the job: Workers fear being watched – and misunderstood
Foundation Model Transparency Reports
Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling
Artificial intelligence needs to be trained on culturally diverse datasets to avoid bias
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