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Preparing Psychologists and Social Workers for the Daily Use of AI
Citation. Åhs, F., Mozelius, P., & Espvall, M. (2022). Preparing Psychologists and Social Workers for the Daily Use of AI. European Conference on the Impact of Artificial Intelligence and Robotics, 1–5. https://doi.org/10.34190/eciair.4.1.771
Summary. This conference paper proposes a professional-development course for psychologists and social workers who use or will use AI in psychological treatment prediction and social-welfare decision support. Its curriculum combines AI history and techniques with trust, the distinction between automated decision systems and decision support, ethics, transparency, and explainable AI. The authors propose interviews and comparative fMRI measures to assess whether participants become better able to judge AI assistance and distinguish transparent from opaque systems.
Key claims
- The proposed course is intended to help professional users understand AI techniques for prediction and adaptivity, rather than teach technical implementation in depth.
- Its curriculum makes human correction, trust, transparency, explainability, and ethical risks central because AI-supported welfare and psychological decisions can reproduce bias or obscure the basis for a recommendation.
- The proposed evaluation would compare course participants with nonparticipants on perceptions and use of AI assistance, trustworthiness judgments, and responses to transparent versus black-box AI assistance.
Evidence & limitations
- This is a five-page conference paper presenting a course and evaluation concept, not results from an implemented course; its predicted educational and neurocognitive effects therefore remain untested.
- The proposal is situated in psychology and social-work practice, including Swedish welfare-service examples, so transferability to other professional settings is an open question.