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Towards Effective Human-AI Decision-Making : The Role of Human Learning in Appropriate Reliance on AI Advice

Title data

Schemmer, Max ; Bartos, Andrea ; Spitzer, Philipp ; Hemmer, Patrick ; Kühl, Niklas ; Liebschner, Jonas ; Satzger, Gerhard:
Towards Effective Human-AI Decision-Making : The Role of Human Learning in Appropriate Reliance on AI Advice.
2023
Event: International Conference on Information Systems (ICIS 2023) , 10.-13.12.2023 , Hyderabad, India.
(Conference item: Conference , Paper )

Abstract in another language

The true potential of human-AI collaboration lies in exploiting the complementary capabilities of humans and AI to achieve a joint performance superior to that of the individual AI or human, i.e., to achieve complementary team performance (CTP). To realize this complementarity potential, humans need to exercise discretion in following AI’s advice, i.e., appropriately relying on the AI’s advice. While previous work has focused on building a mental model of the AI to assess AI recommendations, recent research has shown that the mental model alone cannot explain appropriate reliance. We hypothesize that, in addition to the mental model, human learning is a key mediator of appropriate reliance and, thus, CTP. In this study, we demonstrate the relationship between learning and appropriate reliance in an experiment with 100 participants. This work provides fundamental concepts for analyzing reliance and derives implications for the effective design of human-AI decision-making.

Further data

Item Type: Conference item (Paper)
Refereed: Yes
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Information Systems Management > Chair Information Systems Management - Univ.-Prof. Dr.-Ing. Niklas Kühl
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 04 Oct 2023 08:20
Last Modified: 04 Oct 2023 08:20
URI: https://eref.uni-bayreuth.de/id/eprint/87034