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