Navigating AI Governance : Strategies for success

Strategies for implementing effective Responsible AI governance in your organization.

Format

Online
Course

Expert

Rose Landry 

Live session date

April 30, 2025

Live session time

12:30 - 3:00PM

Individual preparatory work

1 Hour

Price

$225 + Tax

About the module

This module delves into the essential components of a Responsible AI (RAI) governance framework, providing a comprehensive roadmap for implementation within your organization. Participants will explore key elements necessary for establishing both ethical and effective AI governance, including policy development, accountability structures, and risk management strategies.

In addition, the session will cover some of the current regulatory frameworks and industry best practices that inform RAI governance. Participants will gain insights into the challenges of change management and learn strategies to foster organizational buy-in and promote a culture of responsibility around AI initiatives. By the end of the module, attendees will be equipped with actionable strategies to successfully implement a robust AI governance framework that aligns with their organization’s values and objectives.

Learning Outcomes

Identify key components of a Responsible AI governance framework.
Implement effective strategies to establish and operationalize an AI governance framework within your organization.
Evaluate change management considerations to facilitate smooth transitions and stakeholder buy-in for AI initiatives.
Develop actionable plans to address potential ethical dilemmas and risks associated with AI projects.
Develop foundational AI governance policies tailored to organizational needs.

Who is this module for?

Executive leaders, compliance managers, AI project managers, risk management professionals and legal counsel.

Tailored for participants with a foundational understanding of AI concepts and familiarity with governance principles.

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.