Reimagining Personality Assessment Training: Teaching Ethical and Effective AI Use

Artificial Intelligence (AI) is rapidly influencing the landscape of psychological assessment, particularly in personality assessment contexts. This interactive workshop is designed for psychologists who teach, supervise, or practice personality assessment and are seeking to responsibly integrate AI into their work.

The program addresses the growing need to train students, supervisees, and colleagues in critically evaluating and ethically applying AI-supported assessment tools. Participants will engage in structured discussions, case-based learning, and collaborative curriculum development exercises aimed at bridging traditional assessment competencies with emerging technological practices.

In addition to providing foundational knowledge about the capabilities and limitations of AI in personality assessment, the workshop will emphasize how to teach and model ethical considerations—such as algorithmic bias, privacy, clinical judgment, and transparency—in educational and clinical contexts.

Presenters:

Dr. Ksera Dyette | William James College

Dr. Douglas Roberts | Christiana Care

Learning Objectives: 

1. After attending this intermediate-level workshop, participants will be able to:
2. Identify key ethical and practical considerations in the use of AI-supported personality assessment tools.
3. Describe strategies for teaching and supervising ethical AI use in assessment contexts.
4. Evaluate the strengths and limitations of AI-generated data in clinical decision-making and instruction.
5. Develop or adapt teaching and supervision materials that integrate AI awareness with traditional personality assessment competencies.
6. Apply workshop concepts to both academic instruction and clinical practice settings.

Skill Level: 

This workshop is suitable for educators, clinical supervisors, and practicing psychologists interested in enhancing their ability to prepare others (and themselves) for evolving assessment environments. This workshops assumes a basic knowledge of AI.

References: 

Chenneville, T., Duncan, B., & Silva, G. (2024). More questions than answers: Ethical considerations at the intersection of psychology and generative artificial intelligence. Translational Issues in Psychological Science, 10(2), 162–178. https://doi.org/10.1037/tps0000400

Lavigne, S., Rios, A., & Davis, J. J. (2024). Does generative artificial intelligence pose a risk to performance validity test security? The Clinical Neuropsychologist. Advance online publication. https://doi.org/10.1080/13854046.2024.2379023

Tay, L., Woo, S. E., Hickman, L., & Saef, R. M. (2020). Psychometric and validity issues in machine learning approaches to personality assessment: A focus on social media text mining. European Journal of Personality, 34(5), 826–844. https://doi.org/10.1002/per.2290