🔬 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?
“Customization is Key”: Four Characteristics of Textual Affordances for Accessible Data Visualization
🔬 Research Summary by Shuli Jones, a recent MIT MEng in Computer Science and current software engineer at Google. [Original paper by Shuli Jones, Isabella Pedraza Pineros, Daniel Hajas, Jonathan Zong, and Arvind … [Read more...] about “Customization is Key”: Four Characteristics of Textual Affordances for Accessible Data Visualization
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
Computer vision and sustainability
✍️ Column by Rosalie Waelen, a philosopher and AI ethicist, doing her Ph.D. at the University of Twente in the Netherlands. Overview: When thinking about the ethics of AI, one usually considers AI’s impact on … [Read more...] about Computer vision and sustainability
A Holistic Assessment of the Reliability of Machine Learning Systems
🔬 Research Summary by Anthony Corso, Ph.D., Executive Director of the Stanford Center for AI Safety and studies the use of AI in high-stakes settings such as transportation and sustainability. [Original paper by … [Read more...] about A Holistic Assessment of the Reliability of Machine Learning Systems