Design job-related and inclusive selection criteria
HRPD-104 · Версия 1.2
Ethical Hiring AI and Employee Privacy
Use data and AI in recruitment and employment decisions without surrendering fairness, privacy or human accountability.
120 мин.Сертификат включён
Результаты обучения
Design job-related and inclusive selection criteria
Identify bias and automation risks
Minimize and protect employee data
Apply meaningful human review to AI-assisted decisions
Путь курса
7 модулей. Один практический план действий.
- 117 мин.
Job related hiring
Selection criteria should predict performance of essential duties and avoid direct or adverse discrimination.
- 217 мин.
AI bias and human oversight
Automated tools can reproduce historical bias, use hidden proxies and create confident outputs without a defensible basis.
- 317 мин.
Employee data and monitoring
Workplace privacy starts with a legitimate purpose, proportional collection, transparent use and secure retention.
- 417 мин.
Procurement incidents and governance
A vendor does not take away the employer's responsibility for lawful, secure and explainable employment decisions.
- 517 мин.
AI governance and permitted use
Define the purpose, data boundary, owner and reviewer before using AI in employment work.
- 617 мин.
Testing and monitoring
Monitor job relevance, limitations, unexpected outcomes and meaningful human challenge.
- 718 мин.
Incident response and accountability
Respond to AI, privacy and fairness incidents by preserving facts, containing risk and escalating.
Регуляторный контекст
Чёткие формулировки. Никакой двусмысленности.
Designed as relevant, quantifiable professional-development content. No HRPA approval or automatic eligibility is claimed. Participants remain responsible for determining relevance, classifying and reporting hours, and retaining supporting documentation. Employment-law content is educational and is not legal advice.
