🔬 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?
Core Principles of Responsible AI
Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions
🔬 Research Summary by David Zhang, a PhD Candidate and Research Engineer at CSIRO's Data61, and his research focuses on understanding the societal implications of AI technology. [Original paper by Dawen Zhang, … [Read more...] about Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms
🔬 Research Summary by Nathaniel Dennler and Queer in AI. Nathan is a Ph.D. candidate at the University of Southern California and a member of the Queer in AI organization; their personal work is in adapting robot … [Read more...] about Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms
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