Courses |

Artificial intelligence

Bias mitigation and ethical AI leadership

Bias is a natural part of both professional and daily life. Just as humans carry implicit biases, AI systems can also develop unchecked bias that leads to imbalance, skewed data, discrimination, and reputational risk. Understanding where bias comes from — in ourselves and in technology — is essential for building trustworthy AI.

This course equips professionals, technologists, and leaders with the knowledge and tools to identify, evaluate, and mitigate bias in AI while applying an ethical and inclusive lens. Through real-world examples, case studies, and practical frameworks, participants will learn how to ensure fairness, accountability, and inclusivity in AI systems while aligning with emerging standards and regulations.

Participants will leave not only with technical awareness but also with the leadership tools to apply AI responsibly and creatively in their own fields.

Learning objectives

Bias identification

Understand how bias shows up in AI and everyday technologies (e.g., hiring tools, healthcare apps, social media algorithms

Impact evaluation

Evaluate the impact of biased AI decisions on people, organizations, and society.

Mitigation strategies

Develop strategies to advocate for or apply fair, inclusive, and ethical practices when using or overseeing AI systems.

Curriculum outline

• How human bias shows up in AI
• Korn Ferry’s inclusive assessment principles
• Leadership’s role in equity and accountability
• FATE principles (Fairness, Accountability, Transparency, Ethics)
• Global regulations and standards (EU AI Act, UNESCO, IEEE, NIST)
• Using design thinking for inclusive AI solutions
• Industry-specific applications (healthcare, HR, business, education, etc.)
• Develop a Responsible AI Action Plan

Anticipated time to complete

NTEN courses typically require about 60 minutes of video content to complete, while optional content varies by course.