🔬 Research Summary by Luiza Pozzobon, a Research Scholar at Cohere For AI where she currently researches model safety. She’s also a master’s student at the University of Campinas, Brazil. [Original paper by Luiza … [Read more...] about On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research
Privacy & Security
A Systematic Review of Ethical Concerns with Voice Assistants
🔬 Research Summary by William Seymour, a lecturer in computer science at King’s College London, specializing in AI privacy, security, and ethics. [Original paper by William Seymour, Xiao Zhan, Mark Coté, and Jose … [Read more...] about A Systematic Review of Ethical Concerns with Voice Assistants
Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI
🔬 Research Summary by Avijit Ghosh and Dhanya Lakshmi. Dr. Avijit Ghosh is a Research Data Scientist at AdeptID and a Lecturer in the Khoury College of Computer Sciences at Northeastern University. He works at … [Read more...] about Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI
AI Consent Futures: A Case Study on Voice Data Collection with Clinicians
🔬 Research Summary by Lauren Wilcox, Ph.D. (she/her) is a Senior Staff Research Scientist and Group Manager of the Technology, AI, Society, and Culture (TASC) team, part of Responsible AI and Human-Centered Technology in … [Read more...] about AI Consent Futures: A Case Study on Voice Data Collection with Clinicians
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?