ITCILO - Mitigating AI Bias in the Workplace and Human Resources Practices

Mitigating AI Bias in the Workplace and Human Resources Practices

Artificial Intelligence (AI) is reshaping Human Resources-revolutionizing how organizations recruit, assess, and engage talent. From automating repetitive tasks to enabling data-driven decisions, AI promises faster, smarter, and more efficient HR practices.

Yet, alongside these benefits comes a significant challenge: AI systems can unintentionally replicate and even amplify existing biases and inequalities, often in ways that are harder to detect than human discrimination. Whether it stems from skewed training data, opaque algorithms, or systemic inequalities, the result can be unintended-but deeply harmful-discrimination in hiring, promotion, and beyond.

This four-week online training equips HR professionals, policymakers, and other key actors with the knowledge and tools to harness AI responsibly. You'll learn to identify where bias hides in AI systems and how to address it through ethical design, regulatory compliance, and inclusive strategies.

Who attends this course?

This course is ideal for:

• HR Officers & D&I Practitioners aiming to integrate AI ethically.
• Legal & Compliance Professionals responsible for anti-discrimination safeguards.
• Policy Makers & Regulators shaping the future of AI governance.
• Employers' & Workers' Organizations promoting fairness in tech adoption.
• Civil Society Advocates working to ensure equitable digital transformation.

What You Will Learn

By the end of this course, participants will be able to:

• Explain AI and algorithmic decision-making in clear, practical terms—specifically how they apply to recruitment, performance evaluation, and talent management.
• Evaluate when and where AI adds value across the employee lifecycle—from hiring and onboarding to retention and offboarding—while recognizing key ethical trade-offs.
• Identify and analyze common types of bias in AI systems, such as historical, technical, and emergent bias, using real-world case studies and HR-specific examples.
• Navigate legal, policy, and self-regulatory frameworks that address discrimination in AI—including key international guidelines and organizational standards.
• Implement actionable strategies to audit, monitor, and adjust AI tools in HR—ensuring they promote fairness, inclusivity, and transparency in day-to-day practice.

Learn more and apply now