🔬 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?
Application & Adoption
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
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
Looking before we leap: Expanding ethical review processes for AI and data science research
🔬 Research Summary by Ismael Kherroubi Garcia, trained in business management, and philosophy of the social sciences. He is the founder and CEO of Kairoi, the AI Ethics and Research Governance Consultancy. … [Read more...] about Looking before we leap: Expanding ethical review processes for AI and data science research