🔬 Research Summary by Shreyasha Paudel, a Ph.D. student at the University of Toronto with an interdisciplinary research focus that combines Human-Computer Interaction with critical theories from social sciences. Her … [Read more...] about Studying up Machine Learning Data: Why Talk About Bias When We Mean Power?
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems
🔬 Research Summary by Nabeel Seedat and Fergus Imrie Nabeel Seedat is a PhD student at the University of Cambridge (van der Schaar lab). Fergus Imrie is a post-doctoral researcher at the University of … [Read more...] about DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems
Can You Meaningfully Consent in Eight Seconds? Identifying Ethical Issues with Verbal Consent for Voice Assistants
🔬 Research Summary by William Seymour, a Research Associate in Informatics at King’s College London. [Original paper by William Seymour, Mark Coté, Jose Such] Overview: Instead of requiring users to switch … [Read more...] about Can You Meaningfully Consent in Eight Seconds? Identifying Ethical Issues with Verbal Consent for Voice Assistants
Responsible AI In Healthcare
🔬 Research Summary by Federico Cabitza, Davide Ciucci, Gabriella Pasi, and Marco Viviani Federico Cabitza is an Associate Professor at the University of Milano-Bicocca, Department of Informatics, Systems, and … [Read more...] about Responsible AI In Healthcare
The philosophical basis of algorithmic recourse
🔬 Research Summary by Mark Alfano, a philosopher at Macquarie University who specializes in ethical and epistemic issues related to computational social science. [Original paper by Suresh Venkatasubramanian, … [Read more...] about The philosophical basis of algorithmic recourse