AI, Take the Wheel: What Drives Delegation and Trust in Human-Computer Cooperative Question Answering?

ArXi:2605.28255v1 Announce Type: new AI systems are fallible, and humans can make mistakes in deciding whether to trust AI over their own judgment. Thus, improving human-AI collaboration requires understanding when, why, and how humans decide to rely on AI. We study two distinct reliance decisions: the delegation choice -- deciding when to let AI act autonomously without knowing its output, and the adoption choice -- evaluating AI suggestions and deciding how to use them.