Essentials of Responsible AI

Covers the principles, governance approaches, practices, and tools for responsible artificial intelligence (AI) development and use.

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About this Course

This course explores the core aspects of establishing and operationalizing a responsible approach to AI development and use. It examines various responsible AI principles, the current AI regulatory landscape, and practices and tools for deploying responsible AI systems and products.

Language Availability: English

Suggested Audiences: AI Users, Business Professionals, Data Scientists, Developers, Engineers, Product Managers, Research Scientists

Organizational Subscription Price: $675 per year/per site for government and non-profit organizations; $750 per year/per site for for-profit organizations
Independent Learner Price: $99 per person


Course Content

Introduction to Responsible AI CME/CEU Badge

This module discusses how AI works and how it is applied in various contexts. You will explore the benefits and potential harms associated with AI and learn why a responsible approach to AI development and use is imperative. By the end of this module, you will be able to recognize the core aspects of establishing and operationalizing a responsible approach to AI development and use.

Recommended Use: Required
ID (Language): 21130 (English)
Author(s): Chirag Shah, PhD - University of Washington

Responsible AI Principles CME/CEU Badge

This module examines the need for establishing common guiding principles for responsible AI development and use. You will examine a range of responsible AI principles, including accountability, fairness, human agency, inclusiveness, transparency, privacy, and reliability.

Recommended Use: Required
ID (Language): 21131 (English)
Author(s): Chirag Shah, PhD - University of Washington

Responsible AI Governance, Practices, and Tools CME/CEU Badge

This module provides insights into the evolving AI regulatory landscape. You will explore current AI governance frameworks, best practices, and tools for implementing responsible AI in real-world scenarios.

Recommended Use: Required
ID (Language): 21132 (English)
Author(s): Chirag Shah, PhD - University of Washington


CME/CEU Credits

To earn CE credits and units, you need to be affiliated with an organization that subscribes to this course or subscribe as an independent learner first. Learn more about CE/CME Credits.

All Participants
IACET CEU
Maximum 0.3 CEUs
(3 CE Certified modules)
No charge
Credit Details ⓘ
string(38) "September 1, 2026
July 31, 2027"
September 1, 2026 - July 31, 2027


FAQs

Who should take the Essentials of Responsible AI course?

The Essentials of Responsible AI course is for all stakeholders involved in AI development and use, such as research scientists, data scientists, engineers, developers, product managers, business professionals, and AI users. It is meaningful to anyone interested in learning more about responsible AI.

How long does it take to complete the Essentials of Responsible AI course?

The Essentials of Responsible AI course consists of three modules. Each module is designed to take about 30 to 45 minutes. The entire course may take approximately two hours to complete.

What are the standard recommendations for learner groups?

This course is designed such that learners should complete all three required modules in sequence.

Is this course eligible for continuing medical education credits?

Yes. This course is eligible for IACET CEUs at no cost. CITI Program is accredited by the International Accreditors for Continuing Education and Training (IACET) and offers IACET CEUs for its learning events that comply with the ANSI/IACET Continuing Education and Training Standard. IACET is recognized internationally as a standard development organization and accrediting body that promotes quality of continuing education and training.


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