π¬ Research Summary by Ashwin S., a research associate at PreCog, Center for Computational Science, IIIT Hyderabad, India. Their research focuses on the use of mixed methods to diagnose socio-technical systems for … [Read more...] about Labor and Fraud on the Google Play Store: The Case of Install-Incentivizing Apps
Research Summaries
Government AI Readiness 2021 Index
π¬ Research Summary by Sulamaan Rahim, Partnerships Associate at Oxford insights, where he leads on bid writing and partnerships. [Original report by Oxford Insights] Artificial Intelligence (AI) represents … [Read more...] about Government AI Readiness 2021 Index
Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems
π¬ Research Summary by Thomas Krendl Gilbert, a Postdoctoral Fellow at Cornell Techβs Digital Life Initiative, and has a Ph.D. in Machine Ethics and Epistemology from the University of California, … [Read more...] about Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems
Beyond the Frontier: Fairness Without Accuracy Loss
π¬ Research Summary by Rishi Balakrishnan, a student at UC Berkeley passionate about algorithmic fairness, privacy, and trustworthy AI more broadly. [Original paper by Ira Globus-Harris, Michael Kearns, Aaron … [Read more...] about Beyond the Frontier: Fairness Without Accuracy Loss
The Social Metaverse: Battle for Privacy
π¬ Research summary by Connor Wright, our Partnerships Manager. [Original paper by Ben Falchuk, Shoshana Loeb, and Ralph Neff] Overview: Our lives now extend to both the physical and digital worlds. While we … [Read more...] about The Social Metaverse: Battle for Privacy