AI Futures 101: Red Lines, Safety Frameworks, and the Policy Landscape

AI is showing up everywhere at once, in classrooms, workplaces, hiring systems, policing, content feeds, and the tools students use to learn and organize. The speed is real, and so is the gap between what these systems can do and what our institutions are prepared to handle when things go wrong. In this webinar, Ai researcher Krystal Jackson will walk through the current AI governance landscape and the real tools people are using to manage risk right now. That includes how policymakers and industry talk about near term harms and emerging risks, and what that means in practice for safety, accountability, and public trust. Krystal will also break down concepts that get thrown around a lot but rarely explained clearly, including red lines, voluntary commitments, and safety frameworks, plus what tends to work in policy spaces and what tends to stall out. This session is designed with a student lens. You will leave with a clearer picture of where decisions are being made, how safety and responsibility are defined, and how students can engage thoughtfully in campus conversations, public comment processes, advocacy, and future careers across policy, research, tech, and organizing. About Krystal: Krystal Jackson is a Non-Resident Research Fellow at the Center for Long-Term Cybersecurity’s AI Security Initiative, where research focuses on the global security implications of artificial intelligence. Krystal has previously worked as a Research Associate at the Frontier Model Forum and as an AI Capabilities Analyst at the Cybersecurity and Infrastructure Security Agency, supporting critical AI security and safety initiatives. Krystal’s research experience also includes work with the Center for AI and Digital Policy Research Clinic and the Center for Security and Emerging Technology. Krystal holds an M.S. in Information Security Policy and Management from Carnegie Mellon University and is also an artist, hacker, and maker of electronic devices.