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  • Format: ePub

In an era where algorithms shape hiring decisions, promotions, and workplace culture, HR AI Bias Auditing delivers a timely, actionable guide to safeguarding equity in the age of automation. Dareios Little-strategic educator, compliance consultant, and ethical AI architect-offers a modular framework for identifying, mitigating, and documenting bias across HR systems powered by artificial intelligence.
This book blends deep-dive case studies, practitioner interviews, and plug-and-play audit templates to equip HR leaders, legal teams, and technologists with the tools to:
- Detect bias in
…mehr

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Produktbeschreibung
In an era where algorithms shape hiring decisions, promotions, and workplace culture, HR AI Bias Auditing delivers a timely, actionable guide to safeguarding equity in the age of automation. Dareios Little-strategic educator, compliance consultant, and ethical AI architect-offers a modular framework for identifying, mitigating, and documenting bias across HR systems powered by artificial intelligence.

This book blends deep-dive case studies, practitioner interviews, and plug-and-play audit templates to equip HR leaders, legal teams, and technologists with the tools to:

- Detect bias in recruitment, performance evaluation, and retention algorithms

- Align audits with EEOC, GDPR, and emerging AI regulations

- Convert technical findings into policy-ready documentation

- Build trust through bias-free certification and stakeholder transparency

Whether you're launching your first audit or scaling a compliance program, HR AI Bias Auditing empowers you to lead with clarity, accountability, and ethical impact.


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