🔬 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 Summaries
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 University of California, Santa Barbara. His research interests are … [Read more...] about Equal Improvability: A New Fairness Notion Considering the Long-term Impact
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 machine learning. [Original paper by Kenneth Church, Annika Schoene, … [Read more...] about Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable
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 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
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 Yochan Lab (AI Lab) under the supervision of Dr. Subbarao … [Read more...] about Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences