Leading Responsible AI in Organizations

39mIntermediate2024-02-16

Authors

Elizabeth M. Adams

Course details

Leading responsible AI is not just an ethical imperative but a strategic imperative as well. Responsible AI enables organizations to harness the benefits of AI technologies while managing its risks and contributing positively to society and the environment.

Join instructor and responsible AI leader Elizabeth Adams as she explores the foundational principles of responsible AI and the crucial role of leadership in fostering trust, transparency, ethical decision-making, and more. Discover the positive impact of integrating responsible AI practices across an entire organization, promoting cohesion and inclusion among diverse sets of teams including product builders, data scientists, and marketing professionals. Along the way, find out how a responsible AI culture can cultivate a sense of unity and eliminate perceived silos. By the end of this course, you’ll be prepared to play your part as an AI leader who’s committed to both organizational success and societal well-being.

Skills covered

Responsible AILeadership SkillsArtificial Intelligence for BusinessArtificial Intelligence (AI)Business Analysis and StrategyLeadership and ManagementOne-Off

Concepts

0. Introduction

01 - Leading responsible AI in organizations

1. Key Factors to Build a Responsible AI Culture

02 - Leading responsible AI with ethics as core values
03 - Ensuring data governance as responsible leadership
04 - Transparency and explainability to cultivate trust
05 - Regulatory compliance as a standard of integrity
06 - Creating a responsible AI hub of excellence
07 - Accountability and security as a fundamental practice
08 - Inclusive collaboration in AI development
09 - Employee stakeholder collaboration as a partnership model
10 - Cultivating continuous responsible AI learning
11 - Organizational responsiveness in AI ethics
12 - External engagement as a responsible leadership approach
13 - Sustainability as an ethical obligation