Technical Leadership, Responsible AI, Artificial Intelligence for Business ;

Course / Course Details

Leading Responsible AI in Organizations

Digital

By - Elizabeth M. Adams
11 Trainees
39 Min
(0)

Course Requirements

English Language

Course Description

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.

Course Outcomes

Learning objectives

Explain how a company demonstrates that it values ethical AI practices.
Describe the importance of having a data governance process for leadership.
List the ways a leader can practice AI accountability and security.
Identify the advantages of cultivating continuous responsible AI learning in an organization.
Recognize the steps an organization should take when establishing an external advisory board.

Course Curriculum

2 chapters
14 lectures
1 quizzes
39 Min total length

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1 Leading responsible AI in organizations

1 Leading responsible AI with ethics as core values

3.58 Min

2 Ensuring data governance as responsible leadership

3.2 Min

3 Transparency and explainability to cultivate trust

3.28 Min

4 Regulatory compliance as a standard of integrity

3.05 Min

5 Creating a responsible AI hub of excellence

2.44 Min

6 Accountability and security as a fundamental practice

3.17 Min

7 Inclusive collaboration in AI development

3.18 Min

8 Employee stakeholder collaboration as a partnership model

3.28 Min

9 Cultivating continuous responsible AI learning

2.43 Min

10 Organizational responsiveness in AI ethics

2.46 Min

11 External engagement as a responsible leadership approach

3 Min

12 Sustainability as an ethical obligation

3.15 Min

13 Chapter 2 Quiz [Quiz]

10 Min

Trainer

Elizabeth M. Adams

Elizabeth Adams is a senior executive in responsible AI, GenAI leader, and keynote speaker.

Elizabeth is currently the CEO of EMA Advisory Services, a network affiliate of the Stanford Institute for Human-Centered Artificial Intelligence (HAI), and the chief AI ethics advisor at Paravision. A visionary executive at the forefront of responsible AI initiatives, Elizabeth brings a wealth of professional expertise in advisory services, consultancy, and the adoption and operationalization of responsible AI. Her track record includes driving transformative outcomes for Fortune 500 companies and government organizations, skillfully navigating the complex intersection of research, business, technology, policy, and societal impact.

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