The AI Drop #25: The Mouse and the Maze: How to Govern AI Agents That Keep Evolving with Jason St...

In this episode of The AI Drop, Jason Stanley, Head of Applied AI Research at ServiceNow, returns for another discussion with host Anna Gressel on one of the most pressing challenges in AI governance: how to oversee AI systems that continue to adapt after deployment. Together, they explore what adaptive and self-improving AI means for enterprise risk and governance. He explains why an AI system can excel at one task yet fail at a slightly reworded version of it, and why critical governance controls must sit beyond an agent's ability to modify them, even if those safeguards may not hold indefinitely. Jason and Anna also discuss how contracts can transform voluntary standards into binding obligations more quickly than new regulation, and why effective oversight must extend to how AI systems evolve at runtime. For legal, risk, and technology leaders alike, this conversation gives insight on the governance questions likely to dominate 2027. Connect and Learn More ☑️ Jason Stanley (https://www.servicenow.com/research/a...) | LinkedIn (  / jasonstanley2  ) | github (https://github.com/jasonstan) ☑️ ServiceNow (https://www.servicenow.com/) | LinkedIn (  / servicenow  ) | Instagram (  / servicenow  ) | Facebook (  / servicenow  ) | X (  / servicenow  ) | YouTube (   / servicenowinc  ) ☑️ Anna Gressel (https://www.freshfields.com/en/find-a...) | LinkedIn (  / annagressel  ) ☑️ Freshfields (https://www.freshfields.com/en) ☑️ Subscribe Apple Podcasts (https://podcasts.apple.com/us/podcast...) | Spotify (https://open.spotify.com/show/3FvU2cV...) | Amazon Music (https://music.amazon.com/podcasts/f77...)