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Responsible AI Governance for Boards and Senior Leaders

A practical course for leaders overseeing responsible AI adoption and deployment

Course Overview
Responsible AI Governance for Organizational Leaders

This course provides board members and senior leaders with the frameworks, competencies, and oversight practices needed for responsible AI governance. Through international standards, practical tools, and evolving regulatory expectations, participants learn how responsible AI governance strengthens board oversight, enterprise risk management, organizational performance, and stakeholder trust.

Participants explore everyday decision dynamics that influence AI oversight, including role clarity between the board, executive leadership, and technical teams. The course also examines how ethical considerations, transparency requirements, and regulatory developments shape the legitimacy of AI in the eyes of investors, customers, and the public. Directors learn how to cultivate a governance environment that supports disciplined innovation, protects reputation, and strengthens institutional credibility as AI adoption accelerates across sectors.

Equip your board and leadership team with the oversight skills needed for the age of AI.

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Course Outcomes

This course equips participants to govern AI responsibly, strengthen accountability, and protect organizational legitimacy and performance.

Strengthen Oversight of Emerging Technologies

Understand how AI intersects with fiduciary duty, enterprise risk, and long-term organizational strategy, and why boards must provide informed oversight as adoption accelerates.

Apply International Standards and Regulatory Expectations

Learn how international AI frameworks (OECD, NIST, UNESCO, ISO), ethical principles, and regulatory developments guide responsible AI governance across sectors.

Clarify Roles, Responsibilities, and Accountability

Distinguish between board, executive, assurance, and technical responsibilities to prevent gaps, duplication, and misalignment during AI deployment and scaling.

Assess and Manage AI Risk Across the Lifecycle

Strengthen risk stewardship by understanding how classification, impact assessments, and continuous monitoring shape operational and reputational outcomes.

Support Ethical, Transparent, and Trustworthy Decision-Making

Integrate fairness, explainability, transparency, and other responsible AI principles into governance deliberations to maintain stakeholder trust.

Enable Responsible Innovation and Value Creation

Evaluate how well-designed governance frameworks strengthen innovation, reduce compliance friction, and enhance long-term value, resilience, and competitiveness.

Who this course is for

This program supports board members and senior leaders who must provide informed oversight of AI, whether they are new to emerging technology issues or experienced in enterprise governance.

  • Directors, Board Chairs, Governance Committee Members
  • CEOs, Executive Directors, Senior Leadership
  • Corporate Secretaries, Legal, Risk, and Compliance Officers
  • Chief Data, Digital, AI, and Strategy Officers
  • Public, Corporate, and Nonprofit Boards
  • Boards seeking shared understanding, role clarity, and oversight confidence

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Responsible AI Governance for Boards and Senior Leaders

Course length: 2 hours

$299 CAD + HST

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Course Breakdown

“Mante Molepo Consulting was instrumental in helping onboard our new Board of Directors at Amnesty International Canada (English-Speaking Section). The session Mante facilitated was not only informative—it gave our board members a clear understanding of their role in a complex, member-driven organization. It also helped us connect our responsibilities to Amnesty’s broader mission and values.”

Haris Ahmad, Board Director, Amnesty International Canada
MODULE 1

International Expectations for Responsible AI

Participants explore key international frameworks shaping responsible AI adoption, including OECD, UNESCO, NIST, ISO, and the EU AI Act. This module builds a shared baseline of global expectations and links standards to regulatory foresight and strategic positioning.

MODULE 2

AI Governance as Strategy and Value Creation

Responsible AI governance is a strategic accelerant, not an operational restraint. Boards learn how governance strengthens investor confidence, institutional resilience, and stakeholder trust. We connect governance to disciplined innovation and long-term competitiveness.

MODULE 3

Oversight, Accountabilities, and Responsibilities

Boards clarify how responsibility for AI is distributed across the enterprise. We distinguish between oversight, execution, and assurance functions. This enables directors to evaluate whether governance structures are coherent, transparent, and enforceable.

MODULE 4

Lifecycle Risk Management and Assurance

Boards assess how risk is identified, classified, and managed across the AI lifecycle. Participants examine impact assessments, continuous monitoring, and incident response. They also learn to evaluate risk maturity, performance assurance, and escalation pathways.

MODULE 5

Data and Model Governance as Foundations of Trust

Responsible AI depends on sound data and model governance. This chapter covers privacy, lineage, testing, documentation, and bias mitigation. Boards assess whether these foundations support trust, safety, accountability, and compliance.

MODULE 6

Ethics, Legitimacy, and Public Trust

Ethics and public legitimacy now determine whether AI is accepted or contested. Participants examine the importance of equality, transparency, and explainability as critical to AI governance. This is essential for regulated industries, public institutions, and mission-driven organizations.

Prepare Your Board for the Age of AI

Equip board members and senior leaders with the oversight skills and strategic understanding required to govern AI responsibly

Enroll Now

Investment

Virtual

$ 5000.00

Per session

Delivered live through Microsoft Teams or your organization’s preferred platform

  • Up to 50 participants
  • Interactive discussion and Q&A
  • Digital course materials
  • Real-time participation and engagement
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In-PersonRecommended

$ 6000.00

Per session

Facilitated on-site at your organization with hybrid option

  • Up to 50 participants
  • Interactive discussion and Q&A
  • Digital course materials
  • Free WordPress Setup
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Custom

$ TBD

Per session

Tailored for organizations seeking a customized learning experience

  • Board and executive education
  • Multi-session learning programs
  • Expanded participant numbers
  • Custom content and case studies
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Travel and accommodation expenses may apply for in-person delivery. Prices are in Canadian dollars and exclude applicable taxes.

Do I need technical AI expertise to take this course?

No. This course is designed for governance and senior leaders, not AI developers or data scientists.

Participants do not need a technical background to understand the concepts covered in the course. The focus is on governance, accountability, risk, oversight, ethics, and organizational decision-making rather than the technical development of AI systems.

How does this course differ from other AI courses?

Most AI courses teach people how to use AI. This course teaches leaders how to govern it.

The focus is not on coding or building AI systems. Instead, participants will learn how to oversee AI responsibly, manage risk, establish accountability, and make informed decisions about AI adoption and use.

Whether your organization is exploring AI, implementing AI tools, or responding to employee use of AI, this course provides a governance-focused framework for navigating both the opportunities and risks that AI presents.

Will I learn how to govern AI that my organization is already using?

Yes. Many organizations are already using AI tools and applications, whether through formal organizational adoption or employee use of publicly available AI applications. The course explores how organizations can identify, assess, monitor, and govern AI systems that are already in use.

Participants will learn practical approaches to establishing governance structures, clarifying accountability, managing risk, and developing policies and processes that support responsible AI use.

What is included in this course?

This course includes comprehensive learning materials, practical governance insights, and actionable frameworks to support responsible AI oversight. Participants will have access to course content, resources, and tools designed to help them understand and apply AI governance principles within their organizations.

Is this course available online, in person or on demand?

This course may be delivered in person, virtually, or in a hybrid format, depending on your organization’s needs. Virtual sessions are typically delivered through Microsoft Teams but can also be facilitated using your organization’s preferred platform.

This course is not available on demand. The learning experience is designed to be interactive and facilitated in real time to support discussion, reflection, and practical application.

To protect the integrity of the learning experience and the intellectual property of Mante Molepo Consulting, recording, reproducing, or distributing any portion of the course is strictly prohibited without the express written permission of Mante Molepo Consulting.

How long is the course?

The standard course is delivered as a two-hour facilitated session, whether offered virtually, in person, or in a hybrid format.

For organizations seeking a more in-depth learning experience, customized engagements are available. These may include half-day or full-day workshops, multi-session learning programs, board retreats, executive education sessions, or organization-specific training.

Is this course available in French?

Yes. This course may be delivered in either English or French, depending on your organization’s needs.

French-language delivery is subject to facilitator availability and may require additional planning to ensure the learning experience, course materials, and participant discussions are fully supported.

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