🔬 Research summary by Connor Wright, our Partnerships Manager. [Original work by Juan Carlos Muñoz e Idoia Salazar] NOTE: This is a special
Ethics of AI‑Enabled Recruiting and Selection: A Review and Research Agenda
🔬 Research Summary by Anna Lena Hunkenschroer; Christoph Luetge. Anna is a business consultant and PhD student at Technical University of Munich,
Ethics in the Software Development Process: from Codes of Conduct to Ethical Deliberation
🔬 Research Summary by Jan Gogoll, a postdoctoral researcher at the Bavarian Institute of Digital Transformation and an Affiliate Researcher at the
A survey on adversarial attacks and defences
🔬 Research Summary by Max Krueger, a consultant at Accenture with an interest in both the long and short-term implications of AI on
Discover Weekly: How the Music Platform Spotify Collects and Uses Your Data
🔬 Original article by Nils Aoun, Chloé Currie, Ava Harrington, and Cella Wardrop from Encode Justice Canada This is a part of our Recess series in
2022 AI Index Report – Technical AI Ethics Chapter
🔬 Research Summary by Helen Ngo, an affiliated researcher with the AI Index at Stanford HAI. She can be found on
Global AI Ethics: Examples, Directory, and a Call to Action
🔬 Original article by Ravit Dotan, a researcher in AI ethics, impact investing, philosophy of science, feminist philosophy, and their
A Generalist Agent
🔬 Research Summary by Nora Belrose, Frances Lorenz, Jon Menaster. Nora is an independent AI researcher focusing on active reward learning and
Labor and Fraud on the Google Play Store: The Case of Install-Incentivizing Apps
🔬 Research Summary by Ashwin S., a research associate at PreCog, Center for Computational Science, IIIT Hyderabad, India. Their research focuses on
Government AI Readiness 2021 Index
🔬 Research Summary by Sulamaan Rahim, Partnerships Associate at Oxford insights, where he leads on bid writing and partnerships. [Original
Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems
🔬 Research Summary by Thomas Krendl Gilbert, a Postdoctoral Fellow at Cornell Tech’s Digital Life Initiative, and has a Ph.D. in Machine Ethics and
Beyond the Frontier: Fairness Without Accuracy Loss
🔬 Research Summary by Rishi Balakrishnan, a student at UC Berkeley passionate about algorithmic fairness, privacy, and trustworthy AI more broadly.