Responsible AI Starts at the Top

Learn how senior leaders can drive ethical AI use by shaping governance structures, funding oversight, and defining risk appetite across the enterprise.

Strategic AI Leadership for Executives

Master the three core responsibilities senior leaders must own to align AI with enterprise goal: defining risk boundaries, funding oversight infrastructure, and embedding AI governance into strategic and risk reporting.

Make AI Governance a Daily Habit

Explore how organizations can stay ahead of AI risks by turning governance into a continuous cycle, driven by everyday habits, team culture, and open communication channels.

About the course

Are you prepared to steer your organization through the transformative yet complex landscape of Artificial Intelligence? This course is designed for senior leaders like you, providing the strategic framework to effectively govern AI adoption across your enterprise. You will gain the critical insights to integrate AI not just as a technology, but as a core component of your business strategy, aligned with your risk appetite and long-term vision. Discover how to establish effective, cross-functional AI governance councils, champion the necessary resources for robust oversight, and ensure AI risks are visible and managed at the enterprise level. We'll equip you to define clear boundaries for AI use, understand the strategic implications of global regulations like the EU AI Act, and foster a culture where responsible AI innovation thrives. Step into this course to confidently lead your organization, ensuring AI powers sustainable growth, enhances operational resilience, and solidifies stakeholder trust in an AI-driven future.

Kevin Williams

Kevin Williams is the founder of Ascend AI Labs and the creator of the AI Ambassador Program. An early adopter of generative AI, Kevin brings firsthand experience from launching LLM-powered products and advising executive teams on AI integration. He leads all live sessions and office hours, combining practical instruction with a deep commitment to helping others build confidence and capability with AI at work. He also serves as an advisor to the Utah Office of AI Policy and chairs the Workforce Special Interest Group for the Responsible AI Initiative.

Curriculum

5 Chapters · 25 Lessons

  1. 1

    Introduction and Framing

    1. (Included in full purchase)

      Introduction

    2. (Included in full purchase)

      AI in Everyday Work

    3. (Included in full purchase)

      The AI Lifecycle

    4. (Included in full purchase)

      Benefits and Risks of AI

    5. (Included in full purchase)

      AI Risk Categories and Enterprise Examples

    6. (Included in full purchase)

      Common Misconceptions About AI

    7. (Included in full purchase)

      Vocabulary and Technical Training

    8. (Included in full purchase)

      Application for Senior Leaders

    9. (Included in full purchase)

      Closing Summary

  2. 2

    AI Ethics

    1. (Included in full purchase)

      Introduction

    2. (Included in full purchase)

      Why Ethical AI Matters

    3. (Included in full purchase)

      Bias in Data and Design

    4. (Included in full purchase)

      Transparency and Explainability

    5. (Included in full purchase)

      Ethical Dilemmas in Practice

    6. (Included in full purchase)

      Application for Senior Leaders

    7. (Included in full purchase)

      Closing Summary

  3. 3

    Operational & Technical Training

    1. (Included in full purchase)

      Introduction to Operational Use

    2. (Included in full purchase)

      Technical Vocabulary and Workplace Concepts

    3. (Included in full purchase)

      AI as Workplace Infrastructure

    4. (Included in full purchase)

      Safe Prompting and Data Protection

    5. (Included in full purchase)

      Shadow AI and Cybersecurity Risks

  4. 4

    Senior Leaders

    1. (Included in full purchase)

      Introduction

    2. (Included in full purchase)

      Why AI Governance Must Be Continuous

    3. (Included in full purchase)

      Building AI Literacy Across the Organization

  5. 5

    Conclusion

    1. (Included in full purchase)

      Conclusion

Operationalize AI Governance at Scale

Put the right structures, resources, and oversight in place to lead with confidence as AI transforms your organization.

$200.00

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