All Stories

  1. RAI Guidelines: Method for Generating Responsible AI Guidelines Grounded in Regulations and Usable by (Non-)Technical Roles
  2. FairComp: 2nd International Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing
  3. Good Intentions, Risky Inventions: A Method for Assessing the Risks and Benefits of AI in Mobile and Wearable Uses
  4. Using Self-supervised Learning Can Improve Model Fairness
  5. The Geography of U.S. Companies That Care About Their Employees
  6. Influence of User's Characteristics on Interacting with XAI.
  7. Guidelines for Integrating Value Sensitive Design in Responsible AI Toolkits
  8. Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence
  9. FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing
  10. The State of Algorithmic Fairness in Mobile Human-Computer Interaction
  11. WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT?
  12. Quantified Canine: Inferring Dog Personality From Wearables
  13. Reflecting on Hybrid Events: Learning from a Year of Hybrid Experiences
  14. Human-Centered Responsible Artificial Intelligence: Current & Future Trends
  15. Depression at Work: Exploring Depression in Major US Companies from Online Reviews
  16. The Future of Hybrid Meetings
  17. Anticipatory Detection of Compulsive Body-focused Repetitive Behaviors with Wearables
  18. SensiBlend: Sensing Blended Experiences in Professional and Social Contexts
  19. Streetonomics: Quantifying culture using street names
  20. ComFeel