Human confidence in artificial intelligence and in themselves: The evolution and impact of confidence on adoption of AI advice

• DOI: 10.1016/j.chb.2021.107018
• Publication Date: 2021-09-10T00:25:15Z
• Authors: Leah Chong; Guanglu Zhang; Kosa Goucher-Lambert; Kenneth Kotovsky; Jonathan Cagan
• Keywords: Advice (programming)

Artificial intelligence (AI) has shown its promise in assisting human decision-making. However, humans' inappropriate decision to accept or reject suggestions from AI can lead severe consequences high-stakes AI-assisted decision-making scenarios. This problem persists due insufficient understanding of trust AI. Therefore, this research studies how two types confidence that affect trust, their and themselves, evolve decisions. A cognitive study a quantitative model together examine changing positive negative experiences these confidences ultimate Results show self-confidence, not AI, directs the suggestions. Furthermore, work finds humans often misattribute blame themselves enter vicious cycle relying on poorly performing Findings reveal need provide insights effectively calibrate self-confidence for successful