🔬 Research Summary by Sara Kingsley, a researcher at Carnegie Mellon University, and an expert in A.I. system risk assessments, having built A.I. auditing tools, as well as red teamed multiple generative A.I. systems for … [Read more...] about Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work together to Surface Algorithmic Harms?
Accountability
Regulating AI to ensure Fundamental Human Rights: reflections from the Grand Challenge EU AI Act
✍️ Column by Jesse Dinneen, Olga Batura, Caecilia Zirn, Sascha Donner, Azad Abad, Florian Loher. Photo credits: Darya Shramko Overview: In this column, we report on our experience as one of the teams … [Read more...] about Regulating AI to ensure Fundamental Human Rights: reflections from the Grand Challenge EU AI Act
Never trust, always verify: a roadmap for Trustworthy AI?
🔬 Research Summary by Lionel Tidjon, PhD is the Chief scientist & Founder at CertKOR AI and Lecturer at Polytechnique Montreal. [Original paper by Lionel Tidjon and Foutse Khomh] Overview: Bringing AI … [Read more...] about Never trust, always verify: a roadmap for Trustworthy AI?
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects
🔬 Research Summary by Conrad Sanderson, Senior Research Scientist, Data61/CSIRO, Australia. [Original paper by Conrad Sanderson, David Douglas, and Qinghua Lu] Overview: Many ethical principles for responsible AI … [Read more...] about Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects
AI supply chains make it easy to disavow ethical accountability
🔬 Research Summary by David Gray Widder, an incoming Postdoctoral Fellow at the Digital Life Initiative at Cornell Tech, studying how AI creators think about the downstream impact of what they create. You engage with him … [Read more...] about AI supply chains make it easy to disavow ethical accountability