Introduction to Responsible Artificial Intelligence and AI Ethics

Your RAI journey starts here!


Format

Online
Course

Expert

Rose Landry

Live session date

April 23, 2025

Live session time

12:30 - 3:00PM

Individual preparatory work

1 Hour

Price

$150 + Tax

About the module

As the transformative potential of AI becomes increasingly evident, its rapid adoption raises significant concerns about its impact on our lives, organizations, societies, and the environment. In response, numerous initiatives have emerged to promote a more responsible development of AI systems, and to proactively incorporate ethical principles ensuring safer, better AI systems that are sustainable and respectful of everyone's rights.

In this module, participants will explore the evolving landscape of Responsible AI.

Your TRAIL journey starts here, with a first introduction to Responsible AI and AI ethics, designed to encourage critical thinking about AI projects and to develop essential competencies in AI ethics.

Learning Outcomes

Understand and articulate key concepts of Responsible AI and the fundamental ethical principles guiding its development and use.
Apply critical thinking skills to evaluate AI projects and their potential societal impacts.
Recognize and address value tensions and moral dilemmas in AI projects.
Consider diverse stakeholder perspectives in AI decision-making processes.
Discuss the ethical challenges of an AI project and propose strategies to address them and enhance the responsible development and deployment of AI systems.

Who is this module for?

All AI professionals, including executive leaders, Data Scientists, ML/AI engineers, AI developers, AI product managers, AI consultants and investors.

Tailored for all participants but is recommended for those with a foundational understanding of AI concepts and basic technical knowledge of AI systems.

Course Lessons

Rose Landry

An ethicist by training, Rose is an expert in Responsible Artificial Intelligence (RAI). 
She advises organizations on setting up governance frameworks and strategies for the ethical deployment of AI.
She is particularly interested in the development of internal processes to ensure the responsible development of AI systems, and the challenges associated with this.