Tanasă, Matei (2026) Interventions for Fostering Appropriate Reliance on AI in Decision-Making: A Systematic Review. Bachelor's Thesis, Artificial Intelligence.
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Abstract
By helping the decision-making process in fields such as law enforcement and medicine, AI is expanding its influence over matters concerning the well-being of individuals and society. The human component, which is supposed to check the advice of automated systems and take responsibility for final decisions, has often been shown to overrely or underrely on AI advice. In order to improve human-AI performance and ensure meaningful accountability for taken decisions, it is therefore important to explore ways to foster appropriate reliance on AI output. To this end, this review systematically analyses interventions for fostering appropriate reliance proposed in current literature. From 49 included studies (out of 204 screened records) collected in accordance with the PRISMA framework, it creates a taxonomy of the different interventions, consisting of general classes and more specific intervention types. Each intervention is defined, and findings regarding its effectiveness in fostering appropriate reliance are analysed. The findings suggest that interventions increasing user literacy or lowering accessibility to AI advice show particularly great potential. However, evidence remains scarce for several intervention classes, particularly those involving user querying, system personalization, or cognitively easing the task. The presented taxonomy and synthesis can support future research into the design and evaluation of interventions that foster appropriate reliance on AI systems.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Supervisor name: | Schoeffer, J.J. |
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 23 Jul 2026 08:23 |
| Last Modified: | 23 Jul 2026 08:23 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/37460 |
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