All Stories

  1. Assessing and Mitigating the Privacy Implications of Eye Tracking on Handheld Mobile Devices
  2. EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
  3. An Explanatory Model Steering System for Collaboration between Domain Experts and AI
  4. Representation Debiasing of Generated Data Involving Domain Experts
  5. The Need for User-centred Assessment of AI Fairness and Correctness
  6. Lay User Involvement in Developing Human-centric Responsible AI Systems: When and How?
  7. Influence of User's Characteristics on Interacting with XAI.
  8. EXMOS: Explanatory Model Steering through Multifaceted Explanations and Data Configurations
  9. Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence
  10. Investigating Privacy Perceptions and Subjective Acceptance of Eye Tracking on Handheld Mobile Devices
  11. Human-Centered Responsible Artificial Intelligence: Current & Future Trends
  12. Workshop on Trust and Reliance in AI-Human Teams (TRAIT)
  13. Helping people without an AI background to investigate fairness in AI decisions
  14. Investigating Daily Practices of Self-care to Inform the Design of Supportive Health Technologies for Living and Ageing Well with HIV
  15. TExSS 22: Transparency and Explanations in Smart Systems