AI-based Assessment: Promises, Progress, and PitfallsArtificial Intelligence (AI) assessment applications are becoming ubiquitous in testing and assessment in healthcare, education, and business, but there is still much to learn about how AI can enhance or hamper the assessment process in these contexts. The goal of this program is to provide researchers and practitioners an opportunity to learn more about the advantages and disadvantages of using AI-based assessment from five psychologists representing different fields of psychology. Continuing education credits are available (2.5 credit hours). See CE Sponsor approvals.
At the end of this presentation, participants will be able to:
- Describe at least three advantages and disadvantages of AI-based assessments.
- Apply recommendations and cautions for utilizing AI-based assessment in research or professional practice.
- Identify research that is still needed to support the use of AI-based assessment as an evidence-based practice.
Professional educators, clinicians/counselors, industrial/organizational psychologists, measurement professionals, researchers, and graduate students
date and time
Friday, March 1, 2024
11:00 a.m. – 1:30 p.m. CST
- Individual registration with CE/CPD credit: $40 Click here to register.
- Individual registration without CE/CPD credit: $25 Click here to register.
- Group registration: $125 (up to 10 individuals without CE/CPDs). Click here to register.
Questions: Dr. Jessica Jonson
Kristen DiCerbo, PhD
Chief Learning Officer
Qiwei (Britt) He, PhD
Associate Professor, Interdisciplinary Program of Data Science and Analytics
Richard Landers, PhD
Professor, Industrial-Organizational Psychology
University of Minnesota
Matteo Malgaroli, PhD
Assistant Professor, Psychiatry
NYU Grossman School of Medicine
Fred Oswald, PhD
Professor, Psychological Sciences