SURF Mentoring

Potential projects/topics: This project investigates how conversational AI chatbots can assess personality traits and other individual differences, focusing on addressing biases in AI-driven interviews. Students will develop AI-based assessments using rule-based approaches and natural language processing (NLP) techniques, comparing these methods with traditional assessments to evaluate their reliability and validity. The project will also examine potential biases related to gender, age, and race within AI-facilitated interviews. By experimenting with various conversational prompts and interaction styles, students will identify sources of bias and explore strategies for creating more equitable AI assessment tools. The results will contribute to improving personnel decision-making processes and advancing the development of fair and effective AI technologies in both organizational settings and psychological research.

Potential skills gained: research methods, individual differences, psychometrics

Required qualifications: PSYC102, PSYC231

Direct mentor: Faculty/P.I., Post-doctorate, Graduate Student