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🔬 Research Summary by Munindar P. Singh, an Alumni Distinguished Graduate Professor in the Department of Computer Science at North Carolina State University. [Original paper by Munindar P. Singh] Overview: … [Read more...] about Consent as a Foundation for Responsible Autonomy

🔬 Research Summary by Satyapriya Krishna, a PhD student at Harvard University working on problems related to Trustworthy Machine Learning. [Original paper by Satyapriya Krishna, Rahul Gupta, Apurv Verma, Jwala … [Read more...] about Measuring Fairness of Text Classifiers via Prediction Sensitivity

🔬 Research Summary by Tomo Lazovich (they/them) is a Senior Machine Learning Researcher on Twitter's ML Ethics, Transparency, and Accountability (META) team. [Original paper by Tomo Lazovich, Luca Belli, Aaron … [Read more...] about Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics

🔬 Research summary by Connor Wright, our Partnerships Manager. [Original paper by Claire Su-Yeon Park, Haejoong Kim, Sangmin Lee] Overview: With new online educational platforms, a trend in pedagogy is to … [Read more...] about Do Less Teaching, Do More Coaching: Toward Critical Thinking for Ethical Applications of Artificial Intelligence

🔬 Research Summary by Ali El-Sharif, a college professor teaching data analytics and cybersecurity at the St. Clair Zemelman of School of IT in Windsor, Ontario. He earned his Ph.D. from Nova Southeastern … [Read more...] about Explainable artificial intelligence (XAI) post‐hoc explainability methods: risks and limitations in non‐discrimination law