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Explore the hidden dangers of automation bias in the realm of generative AI and automation—a cognitive trap where we too readily trust machine-generated content. We'll examine the psychological aspects of this bias and its impact on text, images, and code and provide actionable strategies for increasing awareness and reducing bias. We will close with a live demo showcasing practical examples and innovative approaches to transform your interaction with generative AI.

This talk is ideal for anyone interested in generative AI and how we work with it. Come prepared to challenge your assumptions and change your relationship with AI.

NDC Conferences

Automation bias is the human tendency to over-rely on machine-generated decisions, even when incorrect. This cognitive bias affects developers using AI tools like ChatGPT and GitHub Copilot, leading to errors of commission (accepting wrong information) and omission (missing critical details). Real-world examples include GPS navigation failures, medical overdoses, and AI-generated content mistakes. Research shows that keeping humans in the loop, increasing system accuracy, or basic training don't solve the problem. Effective solutions include displaying clear accuracy metrics, implementing peer review with known colleagues, providing information rather than recommendations, reducing time pressure, and fostering psychological safety in teams.

Toxic Trust: The Psychology of Automation Bias in Generative AI - Matthijs van der Veer