🔬 Research Summary by Matthew Barker, a recent graduate from the University of Cambridge, whose research focuses on explainable AI and human-machine teams. [Original paper by Matthew Barker, Emma Kallina, … [Read more...] about FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines
Emerging Technology
Adding Structure to AI Harm
🔬 Research Summary by Mia Hoffmann and Heather Frase. Dr. Heather Frase is a Senior Fellow at the Center for Security and Emerging Technology, where she leads the line of research on AI Assessment. Together … [Read more...] about Adding Structure to AI Harm
Supporting Human-LLM collaboration in Auditing LLMs with LLMs
🔬 Research Summary by Charvi Rastogi, a Ph.D. student in Machine Learning at Carnegie Mellon University. She is deeply passionate about addressing gaps in socio-technical systems to help make them useful in practice, … [Read more...] about Supporting Human-LLM collaboration in Auditing LLMs with LLMs
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
Are we ready for a multispecies Westworld?
✍️ Column by Jeff Sebo and Leonie N. Bossert Jeff Sebo is Clinical Associate Professor of Environmental Studies, Affiliated Professor of Bioethics, Medical Ethics, Philosophy, and Law, Director of the Animal Studies … [Read more...] about Are we ready for a multispecies Westworld?