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Situating Data Sets: Making Public Data Actionable for Housing Justice
Beyond Voice Assistants: Exploring Advantages and Risks of an In-Car Social Robot in Real Driving Scenarios
AI in the developing world: how ‘tiny machine learning’ can have a big impact
Auditing Work: Exploring the New York City algorithmic bias audit regime
Epistemic Power, Objectivity and Gender in AI Ethics Labor: Legitimizing Located Complaints
Why AI can’t replace air traffic controllers
Measuring machine learning harms from stereotypes: requires understanding who is being harmed by which errors in what ways
Large language models cannot replace human participants because they cannot portray identity groups
Taylor Swift deepfakes: new technologies have long been weaponised against women. The solution involves us all
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
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