馃敩 Research Summary by Jennafer Shae Roberts, a researcher and writer for the non-profit Accel AI Institute. She focuses on the ethics of artificial
Justice in Misinformation Detection Systems
馃敩 Research Summary by Terrence Neumann, a second-year PhD student researching ethical, behavioral, and engineered components of trustworthy AI
The Brussels Effect and AI: How EU Regulation will Impact the Global AI Market
馃敩 Research Summary by Charlotte Siegmann and Markus Anderljung Charlotte Siegmann is a Predoctoral Research Fellow in Economics at the Global
Beyond Bias and Discrimination: Redefining the AI Ethics Principle of Fairness in Healthcare Machine-Learning Algorithms
馃敩 Research Summary by Simona Tiribelli, an Assistant Professor in Ethics at University of Macerata, Director of AI Ethics at the Institute for
On the sui generis value capture of new digital technologies: The case of AI
馃敩 Research Summary by Dr. Emre Kazim and Airlie Hilliard Emre Kazim, Co-CEO @ Holistic AI - AI Risk Management & Auditing
Equal Improvability: A New Fairness Notion Considering the Long-term Impact
馃敩 Research Summary by Ozgur Guldogan, Yuchen Zeng,聽 Jy-yong Sohn, Ramtin Pedarsani, and Kangwook Lee Ozgur Guldogan is a Ph.D. student at the
The state of the debate on the ethics of computer vision
鉁嶏笍 Column by Rosalie Waelen, a philosopher and AI ethicist, doing her Ph.D. at the University of Twente in the Netherlands. Overview: In
A Look at the American Data Privacy and Protection Act
鉁嶏笍 Column by Max Krueger, a consultant at Accenture with an interest in both the long and short-term implications of AI on society. [Original
Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable
馃敩 Research Summary by Kenneth Church, a researcher who works on natural language processing, information retrieval, artificial intelligence and
Atomist or holist? A diagnosis and vision for more productive interdisciplinary AI ethics dialogue
馃敩 Research Summary by Travis Greene, an Assistant Professor at Copenhagen Business School's Department of Digitalization with an interdisciplinary
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
馃敩 Research Summary by Lin Guan, a Ph.D. student at the School of Computing and Augmented Intelligence at Arizona State University, working at the
Human-AI Collaboration in Decision-Making: Beyond Learning to Defer
馃敩 Research Summary by Diogo Leit茫o, a Machine Learning Researcher at Feedzai. [Original paper by Diogo Leit茫o, Pedro Saleiro, M谩rio A. T.