🔬 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?
Governance frameworks
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
A Matrix for Selecting Responsible AI Frameworks
🔬 Research Summary by Mina Narayanan, a research analyst at the Center for Security and Emerging Technology working on AI Assessment, a line of research that studies how to assess AI systems and manage their … [Read more...] about A Matrix for Selecting Responsible AI Frameworks
Putting collective intelligence to the enforcement of the Digital Services Act
🔬 Research Summary by Dr. Suzanne Vergnolle, an Associate Professor of Technology Law at the Cnam (Conservatoire National des Arts et Métiers) where she works at the intersection of Law, Technology, and Public … [Read more...] about Putting collective intelligence to the enforcement of the Digital Services Act