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How do you make nondeterministic agents trustable? | Human in the Loop: Episode 18

Scale AI16 June 2026Watch on YouTube

Part of series

Ep. 8 · AI-agent beveiliging

Diepgaande analyse van de unieke veiligheidsrisico's die ontstaan wanneer autonome AI-agenten acties uitvoeren en onderling communiceren in bedrijfsomgevingen.

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Description

Season 2 of the Scale Podcast is officially here! Human in the Loop kicks off with a conversation from one of our forward deploy teams dicussing the process and challenges of deploying a fundamentally nondeterministic agents trustable. Welcome to Human in the Loop. Scale is the humanity-first AI company. We believe the most powerful and responsible AI systems are built with humans in the loop. And now, it’s also the inspiration behind our video podcast series Human in the Loop: your guide to understanding what it takes to build and deploy real-world enterprise AI systems. We share our learnings from working with the largest enterprises, foundation model builders, and government.

What you'll learn

  • Nondeterministic AI agents require special approaches to become trustworthy in enterprise environments
  • Human-in-the-loop processes are essential when deploying AI agents with unpredictable behaviors
  • Scale shares practical experiences and best practices from working with major enterprises and foundation model builders

Frequently asked questions

What makes nondeterministic AI agents different from deterministic agents?
Nondeterministic agents do not always produce the same output for the same input, making them less predictable and creating new challenges for trustworthiness in practical implementations.
Why is human-in-the-loop important when deploying AI agents?
Human-in-the-loop ensures that people can oversee and maintain control over AI agent behaviors, which is essential for safety and trustworthiness in enterprise environments.
What practical challenges do enterprises face when implementing trustworthy AI agents?
The episode addresses the concrete processes and challenges organizations encounter when trying to deploy AI agents with unpredictable behaviors in production.

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