We explore the concept of the "moral crumple zone" in human-AI interaction, where accountability for AI system failures often gets inappropriately shifted to human operators. This phenomenon arises from cognitive biases like automation bias, leading humans to over-trust AI and become complacent. The sources illustrate this through various examples, including autonomous vehicles, military drones, healthcare AI, and critical infrastructure, demonstrating how this diffused responsibility creates governance blind spots, amplifies AI failure modes, and erodes public trust. Ultimately, the texts advocate for clearer accountability frameworks, improved AI design, and transparent operations to foster safer and more trustworthy AI-human partnerships.
CST-7: The Moral Crumple Zone: How Diffused Responsibility Distorts Accountability in Human-AI Interaction
Cognitive Susceptibilities and Accountability in AI
Aug 06, 2025

Neural Horizons Substack Podcast
I'm Peter Benson, and enjoy investigating interests in quantum, AI, cyber-psychology, AI governance, and things that pique my interest in the intersections.
I'm Peter Benson, and enjoy investigating interests in quantum, AI, cyber-psychology, AI governance, and things that pique my interest in the intersections. Listen on
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