🔬 Research Summary by Julian Hazell, a Research Assistant at the Centre for the Governance of AI and an MSc candidate in Social Science of the
Humans, AI, and Context: Understanding End-Users’ Trust in a Real-World Computer Vision Application
🔬 Research Summary by Sunnie S. Y. Kim, a PhD student in computer science at Princeton University working on AI transparency and explainability to
Selecting Privacy-Enhancing Technologies for Managing Health Data Use
🔬 Research Summary by Rachele Hendricks-Sturrup, Clara Fontaine, and Sara Jordan Dr. Rachele Hendricks-Sturrup is the Research Director of
Contextualizing Artificially Intelligent Morality: A Meta-Ethnography of Top-Down, Bottom-Up, and Hybrid Models for Theoretical and Applied Ethics in Artificial Intelligence
🔬 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
🔬 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
🔬 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
🔬 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
🔬 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
🔬 Research Summary by Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, and Kangwook Lee Ozgur Guldogan is a Ph.D. student at the
Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable
🔬 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
🔬 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
🔬 Research Summary by Lin Guan, a Ph.D. student at the School of Computing and Augmented Intelligence at Arizona State University, working at the