Jennifer Neville, who initially had no interest in computer science, found herself in the field and has since focused on uncovering the unexpected failures that challenge AI’s ability to manage complexity. In her article, she reflects on the career path that led her to this niche, highlighting the moments of both progress and setbacks that shaped her work. The piece emphasizes how these surprising failures reveal the limits of current AI systems.
By Chad Atalla, Jennifer Neville
Lab Director Chris White discusses his research on real‑world problems, including wartime data analysis and tools to fight human trafficking. He explains the influences that guided his work and shares insights with program manager Weishung Liu. The conversation highlights how technology and research can drive positive societal impact.
By Weishung Liu, Chris White
The article examines how AI policies implemented by software organisations affect developers, using insights from 19 interviews. It finds that while such policies aim to reduce risks like data leaks and unauthorized use, they can also impede developers if not properly engaged. The authors propose developer‑centric strategies to help managers and decision makers implement effective AI policies.
By Samuel Ferino, Rashina Hoda, John Grundy, Christoph Treude, Hashini Gunatilake
Microsoft Research Focus – Edition #97 features host Sowbhagya Suresh discussing recent developments across Microsoft. Topics include challenges faced by coding agents, insights into how people use AI at work, and advancements in extended‑range weather forecasting. The episode highlights cutting‑edge research and practical applications within the company.
By Sowbhagya Suresh
Because the alternative is much too dangerous The post We Should Train AI to Betray Its Users appeared first on Towards Data Science .
By Nathan Bos
How to set the rules that keep agents effective and out of trouble The post What AI Agents Should Never Do on Their Own appeared first on Towards Data Science .
By Sara Nobrega