Research Summaries

🔬 Research Summary by Simona Tiribelli, an Assistant Professor in Ethics at University of Macerata, Director of AI Ethics at the Institute for Technology and Global Health, and Head for AI Ethics of the WHO-ITU AI4H FG … [Read more...] about Beyond Bias and Discrimination: Redefining the AI Ethics Principle of Fairness in Healthcare Machine-Learning Algorithms

🔬 Research Summary by Dr. Emre Kazim and Airlie Hilliard Emre Kazim, Co-CEO @ Holistic AI - AI Risk Management & Auditing Platform Airlie Hilliard, Senior Researcher, Holistic AI | Doctoral Researcher, … [Read more...] about On the sui generis value capture of new digital technologies: The case of AI

🔬 Research Summary by Ozgur Guldogan, Yuchen Zeng,  Jy-yong Sohn, Ramtin Pedarsani, and Kangwook Lee Ozgur Guldogan is a Ph.D. student at the University of California, Santa Barbara. His research interests are … [Read more...] about Equal Improvability: A New Fairness Notion Considering the Long-term Impact

🔬 Research Summary by Kenneth Church, a researcher who works on natural language processing, information retrieval, artificial intelligence and machine learning. [Original paper by Kenneth Church, Annika Schoene, … [Read more...] about Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable

🔬 Research Summary by Travis Greene, an Assistant Professor at Copenhagen Business School's Department of Digitalization with an interdisciplinary background in philosophy and research interests in data science ethics … [Read more...] about Atomist or holist? A diagnosis and vision for more productive interdisciplinary AI ethics dialogue