š¬ 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 Summaries
Do Less Teaching, Do More Coaching: Toward Critical Thinking for Ethical Applications of Artificial Intelligence
š¬ 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
Explainable artificial intelligence (XAI) postāhoc explainability methods: risks and limitations in nonādiscrimination law
š¬ 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) postāhoc explainability methods: risks and limitations in nonādiscrimination law
Moral Dilemmas for Moral Machines
š¬ Research Summary by Travis LaCroix, an assistant professor (ethics and computer science) at Dalhousie University [Original paper by Travis LaCroix] Overview: Researchers focusing on implementable machine … [Read more...] about Moral Dilemmas for Moral Machines
Zoom Out and Observe: News Environment Perception for Fake News Detection
š¬ Research Summary by Qiang Sheng, a fourth-year Ph.D. student in Computer Science and Technology at the Institute of Computing Technology, Chinese Academy of Sciences, whose research interests include fake news … [Read more...] about Zoom Out and Observe: News Environment Perception for Fake News Detection