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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
Red-Teaming for Generative AI: Silver Bullet or Security Theater?
Study: Smart devices’ ambient light sensors pose imaging privacy risk
AI companies are merging or collaborating to even out the gap in access to vital datasets
The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology
Concrete Problems in AI Safety, Revisited
Navigating algorithmic bias amid rapid AI development in Southeast Asia
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