Projects
Applied research and frameworks addressing AI fairness, evaluation methodology, governance design, human factors, and safety across high-impact workforce decision systems.
Adverse Impact Analysis Framework
Developed a structured methodology for detecting and measuring adverse impact in AI-driven employment decisions.
AI Governance Maturity Model
A five-level maturity model for organizations building AI governance programs for workforce decisions.
Bias-to-Value Pipeline
Novel framework converting AI bias risk into measurable economic value through I-O psychology methodology.
Dataset Security Threat Model
Comprehensive threat taxonomy, risk scoring, and defense-in-depth controls for AI training data integrity.
Validation Study Protocol for AI Assessments
Evidence-based protocol for validating AI-driven assessments used in hiring and promotion decisions.
Human-in-the-Loop Decision Gates
Framework for designing effective human review gates in automated employment decision pipelines.