AI Governance in HR

Govern AI in HR with practical frameworks for bias, privacy, compliance, hiring, and responsible workforce decisions

What you'll learn

⚡ Understand the core principles of AI governance and how they apply to Human Resources.
⚡ Identify ethical, privacy, bias, compliance, and accountability risks in AI-powered HR processes
⚡ Evaluate AI use cases across recruitment, performance management, talent management, and workforce decisions.
⚡ Build a practical AI governance framework for responsible, transparent, and accountable use of AI in HR.

Requirements

❗ No prior experience in AI governance is required. A basic understanding of Human Resources or organizational processes is helpful but not necessary. No programming or technical skills are needed.

Description

Artificial Intelligence is rapidly transforming Human Resources — from recruiting and candidate screening to performance management, workforce analytics, employee monitoring, and talent decisions. But when AI influences decisions about people's careers, opportunities, and livelihoods, innovation must be matched with governance.AI Governance in HR is a practical, case-driven course designed to help HR professionals, managers, compliance teams, risk professionals, consultants, and business leaders understand how to use AI responsibly across the employee lifecycle.
Throughout the course, you will explore how AI is already being used in Human Resources, where these systems can fail, and how organizations can build effective governance mechanisms around them.
We will examine real-world HR AI failures and the risks behind them, including algorithmic bias, discrimination, privacy, surveillance, lack of transparency, questionable accuracy, and excessive automation.
You will learn how major regulatory and governance frameworks apply to HR AI, including theEU AI Act, US employment and AI regulations,GDPR,KVKK, theNIST AI Risk Management Framework, andISO/IEC 42001.
The course also goes beyond regulation. You will learn how to evaluate fairness in AI-supported HR decisions, understand bias metrics, assess AI vendors, establish human oversight, manage third-party risks, and monitor AI systems after deployment.
Key areas covered include
✨ AI across the employee lifecycle
✨ AI risks and real-world HR failures
✨ EU AI Act and high-risk employment AI
✨ US HR AI regulations and NYC Local Law 144
✨ Employee privacy, GDPR and KVKK
✨ Algorithmic bias, fairness and non-discrimination
✨ NIST AI RMF and ISO/IEC 42001
✨ AI governance in recruiting and hiring
✨ Algorithmic management and employee monitoring
✨ AI vendor due diligence and third-party risk
✨ Building an HR AI governance program
✨ AI auditing, assurance and future trends
By the end of the course, you will understand not onlywhat responsible AI in HR means, but also how to translate governance principles into practical policies, controls, assessments, monitoring processes, and organizational responsibilities.
No programming or advanced technical knowledge is required. The course is designed to make AI governance practical and accessible for professionals responsible for people, technology, risk, compliance, and organizational decision-making.

Who this course is for

⭐ HR professionals, HR managers, recruiters, and talent management specialists who want to understand the responsible use of AI in HR.
⭐ Business leaders, executives, and managers responsible for AI-enabled workforce and people decisions.
⭐ Risk, compliance, legal, privacy, and governance professionals involved in overseeing AI systems used in Human Resources.
⭐ Consultants, students, and professionals interested in AI governance, responsible AI, HR technology, and the future of work.

Homepage

https://www.udemy.com/course/ai-governance-in-hr

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