About this episode

This episode explores the importance of trust, oversight, and control in the context of AI agents and their decision-making capabilities.

Capabilities get all the attention when it comes to AI agents — but what happens when a highly capable agent makes a bad decision in the real world? Trust, oversight, and control are the unglamorous but critically important flip side of the agentic AI story. This episode digs into the security concerns that emerge when you combine powerful models with real-world tool access, and why judgment (or the lack of it) might matter just as much as raw capability. --- Website: https://lineardigressions.com Apple Podcasts: https://podcasts.apple.com/us/podcast/linear-digressions/id941219323 Spotify: https://open.spotify.com/show/1JdkD0ZoZ52KjwdR0b1WoT Substack: https://substack.com/@lineardigressions

People in this episode

Host: Katie Malone

Topics covered

• AI agents
• trust
• oversight
• control
• security concerns
• decision making

Keywords

• AI agents
• trust
• oversight
• control
• security
• decision making
• capability

Mentioned in this episode

Organizations: AI

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