As organizations increasingly adopt Artificial Intelligence, the demand for ethical, transparent, and responsible AI practices has never been greater. Missteps in AI deployment—such as bias, privacy violations, or lack of accountability—can damage trust and lead to serious regulatory or reputational risks.

"AI Governance and Ethics" equips business leaders, policymakers, and transformation teams with the knowledge and tools to embed responsible AI practices at every stage of the AI lifecycle. Through real-world examples, expert insights, and practical frameworks, participants will learn how to build governance structures that align AI with ethical values, legal standards, and stakeholder expectations.

What You’ll Learn

By the end of this course, participants will be able to:

• Understand Ethical AI Principles: Explore fairness, accountability, transparency, and human oversight in AI systems
• Recognize and Mitigate Bias: Identify common sources of algorithmic bias and apply strategies for reducing harm
• Build AI Governance Frameworks: Establish internal policies, risk management tools, and compliance mechanisms
• Navigate Regulations: Stay ahead of evolving laws, standards, and industry best practices on AI ethics
• Communicate AI Decisions Transparently: Learn how to increase trust with stakeholders through explainability and openness

Who Should Attend?

This course is ideal for:

• Executives and Board Members overseeing AI strategy and risk
• Compliance Officers, Legal Advisors, and Data Protection Leads
• CIOs, CTOs, and AI Project Managers
• Policymakers and Public Sector Leaders developing AI guidelines
• Professionals responsible for digital ethics, ESG, or corporate responsibility

Course Format

• Delivery: Instructor-led (virtual or physical sessions)
• Structure: Case-based learning, breakout discussions, policy simulations
• Resources: Governance toolkits, bias audit checklists, and regulatory trackers

Book Your Spot

Click the “Book Now” or “Inquire” button to secure your space or speak with our course team for more details.
Seats are limited—build trust, reduce risk, and lead with responsibility.

Build AI that works—for everyone.