All Stories

  1. Optimising Human-Machine Collaboration for Efficient High-Precision Information Extraction from Text Documents
  2. Media Coverage of Predictive Policing: Bias, Police Engagement, and the Future of Transparency
  3. FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines
  4. Fairness Without Demographic Data: A Survey of Approaches
  5. Human Uncertainty in Concept-Based AI Systems
  6. Harms from Increasingly Agentic Algorithmic Systems
  7. The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments
  8. Dimensions of Diversity in Human Perceptions of Algorithmic Fairness
  9. Transparency, Governance and Regulation of Algorithmic Tools Deployed in the Criminal Justice System: a UK Case Study
  10. Racial Disparities in the Enforcement of Marijuana Violations in the US
  11. Multi-disciplinary fairness considerations in machine learning for clinical trials
  12. An Algorithmic Framework for Positive Action
  13. Beyond Reasonable Doubt
  14. Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
  15. Machine Learning and the Meaning of Equal Treatment
  16. Human-Centered Approaches to Fair and Responsible AI
  17. A Unified Approach to Quantifying Algorithmic Unfairness
  18. Human Perceptions of Fairness in Algorithmic Decision Making