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Responsible AI for Managers

Responsible AI for Managers

23mGeneral2024-08-01

Authors

Dr. Terri Horton

Dr. Terri Horton

Course details

As AI adoption in organizations evolves, managers need to ensure their teams are using AI responsibly. In this course, instructor Terri Horton shows you how to design and implement responsible AI practices and hold yourself and your team accountable as a manager.

Explore the manager's role in responsible AI, in theory and in practice. Get an overview of the guiding principles of ethical AI and responsible AI in management. Terri offers insights on accountability—including data privacy, safety, and how to mitigate bias and risk—before covering key management practices during AI implementation such as decision-making, employee engagement, and psychological safety. Along the way, learn more about AI in action with real-world case examples drawn from business management.

Skills covered

Responsible AITalent ManagementLeadership SkillsHuman ResourcesArtificial Intelligence (AI)Leadership and ManagementOne-Off

Concepts

0. Introduction

  • 01 - The manager's role in responsible AI

1. Guiding Principles of Responsible AI in Management

  • 02 - Ethical AI principles
  • 03 - Responsible AI principles

2. Accountability for Responsible AI in Management

  • 04 - Data privacy and safety
  • 05 - Mitigating bias and risk

3. Management Practices in AI Implementation

  • 06 - AI and decision-making
  • 07 - Prioritizing employee engagement and impact

4. Responsible AI - Real-World Examples in Management

  • 08 - Responsible AI in action
  • 09 - Responsible AI resources

About us

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