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HR AI Bias Auditing
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- FormatePub
- ISBN8232599942
- EAN9798232599942
- Date de parution27/09/2025
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurHamza elmir
Résumé
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.
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.
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.
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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