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.
Syllabus
Introduction
- Leading responsible AI in organizations
1. Key Factors to Build a Responsible AI Culture
- Leading responsible AI with ethics as core values
- Ensuring data governance as responsible leadership
- Transparency and explainability to cultivate trust
- Regulatory compliance as a standard of integrity
- Creating a responsible AI hub of excellence
- Accountability and security as a fundamental practice
- Inclusive collaboration in AI development
- Employee stakeholder collaboration as a partnership model
- Cultivating continuous responsible AI learning
- Organizational responsiveness in AI ethics
- External engagement as a responsible leadership approach
- Sustainability as an ethical obligation
