Taming the Hallucinations: Making AI-Generated Documentation Trustworthy

AI-generated documentation holds immense promise, but without rigorous verification, it can introduce errors, misinterpretations, and even outright hallucinations. How do we ensure that AI-assisted documentation remains accurate, reliable, and useful?

This session explores the key pitfalls of AI-generated content in technical writing, focusing on real-world examples where AI gets it wrong—from misrepresenting product capabilities to fabricating API parameters. We’ll discuss best practices for identifying and correcting these errors and outline structured verification workflows that balance AI efficiency with human oversight.

Finally, we’ll look ahead to the future of AI-assisted content governance: how technical writing teams can implement policies, tooling, and structured authoring approaches to make AI a trusted partner rather than a liability.

Key Takeaways:

• Common AI-generated documentation failures and how to spot them.
• Strategies for verification, including structured review workflows and automated checks.
• How organizations can implement AI-assisted governance for technical documentation.
• The role of metadata, structured content, and validation layers in ensuring accuracy.

About the Speaker

I’m Gideon Behrensmeyer and throughout my career, I’ve focused on simplifying complex concepts and empowering people to succeed through clear, effective learning materials. I’ve built and led documentation teams, launched innovative training programs, and developed content strategies that reduce friction and improve user experiences.

Currently, I’m Head of Training and Documentation at Island, where I focus on creating scalable learning solutions and tools that help teams succeed. I’m excited about the opportunity to bring this experience to a global learning role, where I can continue to make a meaningful impact.