AI Programs / Responsible AI: Governance, Ethics & Risk

Responsible AI: Governance, Ethics & Risk

Adopting AI with Confidence, Accountability, and Trust

2 daysNo coding neededApplied AI & Agentic Transformation

TecHR Leaders Summit

Course overview

Why this program

As AI moves into hiring, performance, customer decisions, and daily operations, organizations need more than enthusiasm: they need clear rules for using AI safely, fairly, and lawfully. This two-day, highly practical program equips HR, risk, legal, and business leaders to govern AI adoption with confidence, without slowing the innovation it makes possible.

Participants learn to identify and classify AI risks, from bias and privacy to security, accuracy, and over-reliance; to design proportionate policies and controls; and to set clear accountability for AI-assisted decisions. The program draws on leading frameworks and regulations, including the NIST AI Risk Management Framework, ISO/IEC 42001, the EU AI Act, and regional data protection laws, with a particular focus on AI used in people decisions, which regulators increasingly treat as high-risk.

The program culminates in a hands-on capstone where participants build a working, no-code AI use-case risk workflow: new AI requests are captured, risk-classified, matched to required controls, and routed for approval, creating an auditable record from the start.

At a glance

PortfolioApplied AI & Agentic Transformation

Duration2 days

Designed and led byMostafa Azzam

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Course objectives

By the end, participants will be able to

01Explain the core principles of responsible AI, including fairness, transparency, accountability, privacy, and safety.

02Identify and classify AI risks across common business and HR use cases.

03Interpret key frameworks and regulations, and what they mean for their organization.

04Design proportionate AI policies, controls, and acceptable-use guidelines.

05Establish clear accountability and human oversight for AI-assisted decisions.

06Test AI systems for bias, accuracy, and reliability before and after deployment.

07Build a no-code, agentic workflow that risk-assesses and routes new AI use cases for approval.

The learning journey

From understanding to a working build

1 Identify2 Assess3 Control4 Oversee5 Build

Capstone Project. Build an automated AI use-case intake and approval workflow.

How it runs

This program follows our decision-centered learning design, combining:

Opening Challenges. Practical challenges that surface participants’ assumptions before frameworks are introduced.
Expert-Led Briefings. Concise, evidence-based input on concepts, frameworks, and emerging practice.
Case Studies and Simulations. Realistic situations with genuine choices, where participants decide, defend, and reconsider.
Hands-on Activities. Applying tools and frameworks, including AI tools, to participants’ own work.
Ready-to-Use Tools and Templates. Practical resources delegates can apply immediately in the workplace.

Who should attend

This program is designed for:

HR leaders using AI in people decisions
Risk, Compliance, Audit, and Legal Professionals
Data Protection and Information Security Officers
Digital Transformation and AI Program Leaders
Procurement Professionals evaluating AI vendors
Board members and executives accountable for AI oversight No technical or legal background is required.

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Bring Responsible AI: Governance, Ethics & Risk to your organization

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