The rapid advance in maching learning and artificial intelligence technologies poses both complex risks and intriguing opportunities for security researchers and practitioners. The Fields Institute Machine Learning and Information Security Seminar is a new initiative aimed to promote increased interaction and collaboration between security professionals working in private industry and academic researchers in mathematics, engineering, computer science and related quantitative fields. Topics may include homomorphic encryption and privacy-preserving technology, applications of AI and LLMs to security automation and orchestration, and security and alignment issues in AI systems themselves.

The goal of this seminar is to stimulate new academic research based on emerging industrial trends, as well as to promote the adoption of innovative ideas in academic research in industry. Talks occur on the last Friday of every month throughout 2025, with the first talk taking place on Friday, February 28 from 4:00-6:30pm. The meeting will end with a panel discussion about themes in the two talks with discussion about upcoming research activities at Fields related to the interactions between agentic AI and mathematics. 

Future talks will usually take place in the evening unless specified otherwise.

Each seminar will feature two 50-minute talks—one from an industry professional and one from an academic researcher—with refreshments and snacks served between talks. There is no cost to attend these seminars and everyone is welcome. The seminar will be held in a hybrid format: in-person at the Fields Institute.