🔬 Research Summary by Pengyuan Zhou, working on Trustworthy AI and Metaverse, he got his PhD from University of Helsinki, Finland in 2020 and
Structured access to AI capabilities: an emerging paradigm for safe AI deployment
🔬 Research Summary by Max Krueger, a consultant at Accenture with an interest in both the long and short-term implications of AI on
Subreddit Links Drive Community Creation and User Engagement on Reddit
🔬 Research Summary by Rachel Krohn, an assistant professor of computer science at the Rose-Hulman Institute of Technology, specializing in online
From Dance App to Political Mercenary: How disinformation on TikTok gaslights political tensions in Kenya
🔬 Research summary by Connor Wright, our Partnerships Manager. [Original paper by Mozilla] Overview: The upcoming Kenyan elections on
Fairness implications of encoding protected categorical attributes
🔬 Research Summary by Carlos Mougan, a Ph.D. candidate at the University of Southampton within the Marie Sklodowska-Curie ITN of
Design Principles for User Interfaces in AI-Based Decision Support Systems: The Case of Explainable Hate Speech Detection
🔬 Research Summary by Grace Wright, Business Development Manager at a technology start-up and has worked in research roles focused on responsible and
Longitudinal Fairness with Censorship
🔬 Research Summary by Wenbin Zhang, a Postdoctoral Researcher at Carnegie Mellon University tackling important social, environmental, and public
Consent as a Foundation for Responsible Autonomy
🔬 Research Summary by Munindar P. Singh, an Alumni Distinguished Graduate Professor in the Department of Computer Science at North Carolina State
Measuring Fairness of Text Classifiers via Prediction Sensitivity
🔬 Research Summary by Satyapriya Krishna, a PhD student at Harvard University working on problems related to Trustworthy Machine
Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics
🔬 Research Summary by Tomo Lazovich (they/them) is a Senior Machine Learning Researcher on Twitter's ML Ethics, Transparency, and Accountability
Do Less Teaching, Do More Coaching: Toward Critical Thinking for Ethical Applications of Artificial Intelligence
🔬 Research summary by Connor Wright, our Partnerships Manager. [Original paper by Claire Su-Yeon Park, Haejoong Kim, Sangmin
Explainable artificial intelligence (XAI) post‐hoc explainability methods: risks and limitations in non‐discrimination law
🔬 Research Summary by Ali El-Sharif, a college professor teaching data analytics and cybersecurity at the St. Clair Zemelman of School of IT in