All Stories

  1. Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction
  2. Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development
  3. Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs
  4. From Plane Crashes to Algorithmic Harm: Applicability of Safety Engineering Frameworks for Responsible ML
  5. Healthsheet: Development of a Transparency Artifact for Health Datasets
  6. The Use and Misuse of Counterfactuals in Ethical Machine Learning
  7. Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure
  8. Why Reliabilism Is not Enough
  9. Closing the AI accountability gap
  10. Towards a critical race methodology in algorithmic fairness