Microsoft Research blog
What AI gets wrong and what failure teaches us
| Chad Atalla and Jennifer Neville
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to…
Ideas: Community building, machine learning, and the future of AI
| Jenn Wortman Vaughan and Hanna Wallach
As the Women in Machine Learning Workshop (WiML) marks its 20th annual gathering, cofounders, friends, and collaborators Jenn Wortman Vaughan and Hanna Wallach reflect on WiML’s evolution, navigating the field of ML, and their work in responsible AI.
AI Testing and Evaluation: Learnings from pharmaceuticals and medical devices
| Kathleen Sullivan, Daniel Carpenter, Timo Minssen, and Chad Atalla
Professors Daniel Carpenter and Timo Minssen explore evolving pharma and medical device regulation, including the role of clinical trials, while Microsoft applied scientist Chad Atalla shares where AI governance stakeholders might find inspiration in the fields.