March 27, 2025. 12-1PM EST.
A thought-provoking exploration of the implications of data scraping in a world changed by AI. What is "public data" anyway? This session delves into the concept of "Public Data" as seen under both the academic research and general lens. We'll discuss the impacts of accessing and collecting data as well as the knock-on effects of using machine learning models trained with it. Factors such as privacy, cybersecurity, copyright, legislation, acceptable use, and applicable organizational policy all factor into this complex topic. In a time when many are looking for simple answers, the situation is anything but simple. While some desire to collect data, others are seeking ways to prevent their data from being scraped in the first place, or at least get their lawyers involved after the fact.
Presented by: Scott Baker
Scott Baker manages the Research Cybersecurity and Compliance team at UBC Advanced Research Computing. He leads a group of privacy and security professionals focused on helping researchers find balanced solutions for their research projects. He is a member of the Digital Research Alliance of Canada national security council, chairing the governance and policy working group and has over 25 years of experience managing people, projects, and IT systems.
Date de l'événement: 27 Mar 2025 | Ville: | Site / Liue: Online