AI Trust Scale

What it measures

Measures consumer trust in AI-based systems and intelligent agents across three dimensions derived from Mayer et al.'s (1995) trust model: ability (the AI can do what it promises), benevolence (the AI acts in the user's interests), and integrity (the AI follows principles the user endorses). Increasingly used in research on AI assistants, recommender systems, and autonomous agents.

Representative items

• This AI system is competent and effective in performing its tasks. (Ability)
• This AI system provides useful recommendations that serve my needs. (Benevolence)
• This AI system operates according to sound principles. (Integrity)
• I can rely on this AI system to do what it is designed to do. (Ability)
• This AI system seems to have my best interests at heart. (Benevolence)

Citation

Söllner, M., Hoffmann, A., & Leimeister, J.M. (2016). Why different trust relationships matter for information systems users. European Journal of Information Systems, 25(3), 274–287.