beachhead · evidence-based answer
How should HR teams use AI for talent and people decisions?
The short answer
Use AI where you can evaluate it. Before deploying a model in hiring, performance, or attrition, demand validity evidence, a fairness analysis, and effect sizes — the same measurement-science questions you would ask of any instrument. AI at machine speed without that scrutiny scales bias as fast as benefit.
The problem underneath
AI is being deployed in high-stakes people decisions at scale while the measurement science to evaluate validity, fairness, and effect sizes is largely absent from practitioner workflows.
The evidence
- Citation-grade findings on AI risk/validity in people decisions
- Original AI-human-interaction research
- AI × people-analytics capability encyclopedia
- 40+ citation-grade insight cards
- The translated corpus
- 8 research arcs
Every claim on this site traces to a graded source — see the proof graph.
Go deeper
Related questions
- What does the research say about AI in hiring and performance management?
- What are the risks of using AI for people decisions at work?
AI in HRalgorithmic hiringAI fairnesspeople analyticsAI readiness