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Diversity & Inclusion

Executives & Managers

Managing Bias in the Age of AI

Help employees address bias in working with AI through training that fosters awareness, accountability, and inclusive practices.

Formats offered

  • In-person or virtual workshop

  • In-person or virtual keynote

  • Self-paced in Surface Learning

AI has the potential to transform the way we work, but it also poses risks—especially when it comes to bias. Research shows that AI systems can replicate and even amplify human biases if they aren’t designed and applied thoughtfully. From hiring algorithms to performance feedback, biased AI can lead us to evaluate people unfairly and erode trust. The good news: individuals and teams can take concrete steps to mitigate these risks. This interactive workshop equips participants with the knowledge and skills to navigate the challenges of bias in AI. By understanding how bias emerges, recognizing their role in shaping outcomes, and committing to inclusive practices, employees at all levels can help ensure that AI serves everyone fairly.

Training Includes:

  • Research

  • Self Reflection

  • Discussions

  • Activities

  • Action Planning

Learning Objectives

  • How using AI can perpetuate or amplify bias, and the ways this impacts decisions in hiring, promotions, performance management, and beyond.

  • The human and organizational factors that influence whether AI drives fairness in the workplace.

  • Why responsible AI practices and inclusive cultures are essential for trust, innovation, and long-term success.

  • Recognize and question potential bias in AI-powered tools and processes.

  • Apply practical strategies to mitigate bias in their own work and teams.

High-Level Outline

Introduction

Explore how AI is transforming decision-making. Invite participants to reflect on where they are already encountering AI in their roles and organizations.

Understanding Bias in AI

Review research that explains how bias enters AI systems and can have an impact on workplace decisions. Explore the importance of human oversight and accountability in shaping AI outcomes.

Strategies for Responsible and Inclusive AI

Explore practical strategies for managing bias, such as questioning outputs, diversifying inputs, and embedding ethical considerations in workflows.

Action Planning

Choose one strategy to apply to foster equitable and responsible AI use.

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Our experts

Guided by Experts. Grounded in Experience.

Meet the facilitators behind our workshops. They are interdisciplinary experts who bring research, empathy, and real-world insight to every workshop.