🔬 Research Summary by Christina Catenacci, BA, LLB, LLM, PhD, works at the intersection of electronic surveillance technologies, privacy, cybersecurity, and data ethics. [Original paper by National Institute of … [Read more...] about NIST Special Publication 1270: Towards a Standard for Identifying and Managing Bias in Artificial Intelligence
AI Bias in Healthcare: Using ImpactPro as a Case Study for Healthcare Practitioners’ Duties to Engage in Anti-Bias Measures
🔬 Research Summary by Paolina Buck, an operations and business development advisor for multiple early-stage startups and is passionate about how we can build a collaborative future between emerging technologies and … [Read more...] about AI Bias in Healthcare: Using ImpactPro as a Case Study for Healthcare Practitioners’ Duties to Engage in Anti-Bias Measures
What lies behind AGI: ethical concerns related to LLMs
🔬 Research Summary by Giada Pistilli, Ph.D. Candidate in Philosophy, specializing in Conversational AI Ethics. Sorbonne Université - CNRS. [Original paper by Giada Pistilli] Overview: Through the lens of … [Read more...] about What lies behind AGI: ethical concerns related to LLMs
Prediction Sensitivity: Continual Audit of Counterfactual Fairness in Deployed Classifiers
🔬 Research Summary by Ivoline C. Ngong, Krystal Maughan, Joseph P. Near. Ivoline is a first-year doctoral student in Computer Science at the University of Vermont whose research interests lie at the intersection of data … [Read more...] about Prediction Sensitivity: Continual Audit of Counterfactual Fairness in Deployed Classifiers
Race and AI: the Diversity Dilemma
🔬 Research summary by Connor Wright, our Partnerships Manager. [Original paper by Stephen Cave and Kanta Dihal] Overview: Are white and non-white AI presented as equals? The authors argue not. While more … [Read more...] about Race and AI: the Diversity Dilemma