Jingyi Li

Jingyi is accepting graduate students for the 2027-2028 academic year.

I am an Assistant Professor of Industrial-Organizational Psychology at Ohio University. My research focuses on how emerging technologies, particularly artificial intelligence and machine learning, can improve the way organizations understand and assess people. My work examines AI- and language-based assessment of individual differences, including vocational interests and personality, with particular attention to validity, fairness, and the ways these new approaches compare with traditional self-report measures.

More broadly, I am interested in developing assessment methods that are not only scientifically rigorous but also engaging and useful in real-world settings. My current research explores large language models, natural language processing, and conversational assessments, as well as topics related to applicant behavior and human–AI assessment.

Outside the classroom and research lab, Jingyi enjoys exploring new places, trying new foods, snowboarding, and spending time with her family, friends, and cat.

Publications

Li, J., Fan, J., Chetta, M. H., Chen, Z., Lester, H. F., Yang, X., Bubb, R., Tu., J, & Lievens, F. (Revise & Resubmit). AI-Based Assessment Validation. Journal of Applied Psychology.

Li, J., Hou, D. X., & Tay, L. (Revise & Resubmit) Age-Inclusive AI Assessments. Journal of Business and Psychology
Kim, S., Hernandez, I., & Li, J. (in press). Automating inequality: Racial and gender biases in resume evaluations by large language models. Journal of Personnel Psychology.

Lievens, F., Fan, J., & Li, J. (2025). Personality and personnel selection: Going beyond self-reports and linear relationships. Current Opinion in Psychology, 65, Article 102058.

Xue, J., Zheng, L., Li, J., Wang, L., Liang, K., & Fan. J. (2025). Examining the effect of socially desirable responding on the relationships between personality traits and safety performance. International Journal of Selection and Assessment, 33(4), e70024.

Presentations and Awards

• Li, J., Hou, D. X., & Tay, L. (2026, 31 July – 4 August). Age-Inclusive AI Assessments: Testing and Refining Prompts Using Human and LLM Data. Beyond Research Assistance: Generative AI as an Empirical Method in Organizational Science [Symposium]. 86th Academy of Management Annual Conference, Philadelphia, PA, United States.
• Li, J., Everett, J., Corser, P., Bat‑Ireedui, M., Zhang, B., & Fan, J. (2026, April 30 – May 2). Bipolar structure of RIASEC interests from chatbot‑elicited interviews. In Wang, Y., & Zhu, Y. E. (Co-Chairs) (2026). Responsible AI in IO Research and Practice: Examples and Lessons. [Symposium]. Society for Industrial and Organizational Psychology Annual Conference, New Orleans, LA, United States.
• Everett, J., Li, J., Bat-Ireedui, M., Corser, P., & Fan., J (2026, April 30 – May 2). Development of AI Models to Infer Intellect and Cognitive Ability [Poster]. Society for Industrial and Organizational Psychology Annual Conference, New Orleans, LA, United States.
• Kim, S. C., Li, J., Fan, J. (2026, April 30 – May 2). Measuring Performance-based Emotional Intelligence through an AI Chatbot [Poster]. Society for Industrial and Organizational Psychology Annual Conference, New Orleans, LA, United States.
  • Identified as a top-rated poster for the Technology/Artificial Intelligence Content Area Theme Track
• Li, J., Everett, J., Fan, J., Chetta, M., Chen, Z., Lester, H., Yang, X., Bubb, R., & Couvillion, I. (2025, July). Measuring Vocational Interests through an AI-chatbot: Reliability and Validity Evidence. Paper presented at the 85th Academy of Management Annual Conference, Copenhagen, Denmark.
  • Selected as one of the top 10% best papers of the Human Resources Division
• Fan, J., Kim, S., Li, J., Chen, Z., Couvillion, I., Richardson, J., Everett, J., & Trocchia, P. (2025, July). Examining Faking Resistance of Machine-Inferred Personality Scores Derived through an AI-Chatbot. Paper presented at the 85th Academy of Management Annual Conference, Copenhagen, Denmark.
  • Selected as one of the top 10% best papers of the Research Methods Division
• Li, J., Everett, J., Fan, J., Zheng, L., & Fang, X. (2025, April). Examining the convergence between expert-rated interview scores and AI-rated interview scores based on LLM. In Wang, Y., & Zhu, Y. E. (Co-Chairs) (2025). GenAI-assisted scoring of narrative information in assessments: Lessons learned. [Symposium]. Society for Industrial and Organizational Psychology Annual Conference, Denver, CO, United States.
• Li, J., Fan, J., Chetta, M. H., Lester, H. F., Feddersen, K., Brown, S., & Everett, J. (2024, April). Predicting vocational interests through an AI-based chatbot. In Liou, G., & Tay, L. (Co-Chairs), Future of performance prediction and evaluation: Artificial intelligence and big data. [Symposium]. Society for Industrial and Organizational Psychology Annual Conference, Chicago, IL, United States.
• Li, J., & Fan, J. (2022, October). Predicting Vocational Interests through an AI-based Chatbot. Poster presented at the 18th Annual River Cities I-O Psychology Conference, Chattanooga, TN.
• Li, J., Postier, L., McGoey, K., & Cook, P. (2022, October). Validating a Picture-Based Values Measure Across Three Studies. Poster presented at the 18th Annual River Cities I-O Psychology Conference, Chattanooga, TN.
• McGoey, K., Cook, P., Li, J., Postier, L., & Michel, J. (2022, April). Meta-Analytic Findings on Telework and Individual and Organizational Outcomes. Poster presented at the 37th Annual Society for Industrial and Organizational Psychology Conference, Seattle, WA.