🔬 Research Summary by Min Lee, an Assistant Professor in Computer Science at Singapore Management University, where he creates and evaluates interactive, human-centered AI systems for societal problems (e.g. … [Read more...] about Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Making
Health
Towards Healthy AI: Large Language Models Need Therapists Too
🔬 Research Summary by Baihan Lin, PhD, a computational neuroscientist and AI researcher at Columbia University and IBM Thomas J Watson Research Center. [Original paper by Baihan Lin, Djallel Bouneffouf, Guillermo … [Read more...] about Towards Healthy AI: Large Language Models Need Therapists Too
Value-based Fast and Slow AI Nudging
🔬 Research summary by Dr. Marianna Ganapini, our Faculty Director. [Original paper by Marianna B. Ganapini, Francesco Fabiano, Lior Horesh, Andrea Loreggia, Nicholas Mattei, Keerthiram Murugesan, Vishal … [Read more...] about Value-based Fast and Slow AI Nudging
Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice Biometrics Research
🔬 Research Summary by Anna Leschanowsky, a research associate at Fraunhofer IIS in Germany working at the intersection of voice technology, human-machine interaction and privacy. [Original paper by Casandra … [Read more...] about Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice Biometrics Research
Target specification bias, counterfactual prediction, and algorithmic fairness in healthcare
🔬 Research Summary by Eran Tal, Canada Research Chair in Data Ethics and Associate Professor of Philosophy at McGill University. He studies the epistemology and ethics of data collection and data use in scientific … [Read more...] about Target specification bias, counterfactual prediction, and algorithmic fairness in healthcare