American Psychological Association
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Summary
Artificial intelligence (AI) is increasingly used in psychological and educational assessment for tasks like scoring, summarizing, reporting, and pattern recognition. Thoughtful use of AI can improve efficiency, consistency, and service access. However, AI systems may introduce bias, errors, and lack transparency, so their risks must be carefully considered due to the significant impact of assessment decisions. While traditional considerations and evaluation criteria for practicing and researching assessment remain relevant, the integration of AI introduces unique factors that must be understood and addressed to ensure validity, reliability, fairness, and transparency.
To address these concerns, the members of APA’s Committee on Psychological Tests and Assessment (CPTA) have developed a concisely presented, comprehensive document that delves into the ethical and practical considerations for the use of AI in assessment across domains (e.g., clinical, I/O, school) and situations (e.g., employment testing, clinical evaluations). The document identifies considerations pertinent at specific decision-making junctures (e.g., tool selection, administration/delivery, scoring, interpretation, reporting) as well as considerations that apply across all assessment activities. The intended audience for this document is psychologists, including but not limited to health service psychologists and psychologists working in industry, academia, and public service positions as well as students of psychology. Although not the intended audience, this document may also serve as a resource for consumers of psychology and the public.
Principles for responsible AI use in assessment
Eight key areas to consider whenever AI is used in psychological assessment:
- Transparency and accountability
- Bias and fairness
- Privacy and confidentiality
- Informed consent
- Competence and training
- Human oversight
- Impact on applied and clinical work
- Continuous improvement
