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DI-002

AI Governance: Frameworks and Best Practices

Intensive 5-day course · English, Arabic & European languages

Professionals overseeing AI policy and ethics examine responsible governance over five days. Delegates develop oversight structures and assess risks, including bias, privacy and Shadow AI. The course addresses the EU AI Act, NIST and ISO/IEC 42001, with practical work on policies, accountability and integration with organisational sustainability and ESG goals.

Classroom

Public courses in our cities

  • 19–23 Oct 2026Dubai£4,200 + VAT
  • 2–6 Nov 2026Riyadh£4,200 + VAT
  • 16–20 Nov 2026London£3,360 + VAT
  • 7–11 Dec 2026Istanbul£2,280 + VAT
  • 21–25 Dec 2026Doha£4,200 + VAT
  • 11–15 Jan 2027London£3,360 + VAT
Show 23 more dates
  • 25–29 Jan 2027Doha£4,200 + VAT
  • 8–12 Feb 2027Munich£3,400 + VAT
  • 22–26 Feb 2027Geneva£4,200 + VAT
  • 1–5 Mar 2027Amsterdam£3,400 + VAT
  • 15–19 Mar 2027Abu Dhabi£4,200 + VAT
  • 5–9 Apr 2027Cairo£2,280 + VAT
  • 19–23 Apr 2027London£3,360 + VAT
  • 3–7 May 2027Istanbul£2,280 + VAT
  • 17–21 May 2027Jeddah£4,200 + VAT
  • 14–18 Jun 2027London£3,360 + VAT
  • 28 Jun – 2 Jul 2027Singapore£4,200 + VAT
  • 12–16 Jul 2027Munich£3,400 + VAT
  • 26–30 Jul 2027Muscat£3,080 + VAT
  • 2–6 Aug 2027Amsterdam£3,400 + VAT
  • 16–20 Aug 2027Casablanca£2,280 + VAT
  • 6–10 Sep 2027Manama£3,080 + VAT
  • 20–24 Sep 2027London£3,360 + VAT
  • 4–8 Oct 2027Istanbul£2,280 + VAT
  • 18–22 Oct 2027Amman£3,400 + VAT
  • 8–12 Nov 2027London£3,360 + VAT
  • 22–26 Nov 2027Madrid£3,400 + VAT
  • 13–17 Dec 2027Munich£3,400 + VAT
  • 27–31 Dec 2027Berlin£3,400 + VAT

Group discount: 2 delegates 20% · 3 delegates 35% · 5 or more delegates 50%

Can't make these dates? We can run this course for your team on dates that suit you. Ask for custom dates · In-house options

Online (live)

With a trainer, on dates to suit your team

This course can be taught live online by a trainer, in English, Arabic or any European language, for one person or a whole team.

£1,850 + VAT

Group discount: 2 delegates 20% · 3 delegates 35% · 5 or more delegates 50%

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AI Governance: Frameworks and Best Practices

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Course overview

Automation and machine learning now drive many business decisions. This shift places heavy demands on companies to get their oversight right. Without a clear plan, deploying these tools can lead to compliance breaches, biased results, and the unchecked spread of unapproved software, often called Shadow AI.

Governance design draws on the EU AI Act and frameworks such as NIST and ISO/IEC 42001. Delegates examine failure cases before practising impact assessment and risk audits, then draft policies that reflect their organisation's obligations and values. Workshops connect these policies with explainability, transparency and models that can be audited and scaled.

Oversight includes human intervention and supervision. Sessions examine third-party vendors and employee use of public or embedded AI tools, including how to respond when Shadow AI is misused or fails. Strategy work connects governance with corporate sustainability and ESG, followed by maturity assessment and an implementation roadmap.

Course objectives

By the end of the course, delegates will be able to:

  1. Explain governance principles and responsible, ethical practice in AI
  2. Build frameworks for governance that satisfy the organisation's needs and regulatory obligations
  3. Identify AI exposures in technology, operations and ethics and manage their consequences
  4. Apply practices that make AI transparent, explainable and auditable
  5. Use NIST and ISO/IEC 42001 when developing internal AI initiatives
  6. Establish responsibilities and roles supported by oversight mechanisms
  7. Detect bias, assess impacts and audit risks in AI systems
  8. Lead AI deployment that meets ethical and compliance requirements in different industries
  9. Connect the governance of AI with sustainability and ESG objectives

Who should attend

This course suits:

  • Senior executives and chief officers, including CTO, CIO and CDO roles
  • Specialists governing AI and data
  • Internal audit, compliance and risk professionals
  • Government regulators and policymakers
  • Experts working in legal and regulatory affairs
  • Strategists and leaders responsible for digital transformation
  • AI/ML engineers moving into governance and ethics roles
  • Consultants working in AI risk management and responsible innovation

Training methodology

  • Led by experts in the field, this course mixes presentations with group discussion.
  • Delegates analyse international rules and draft policies for their own companies.
  • The week includes practical risk assessments, simulations, and group projects.

Daily agenda

  1. Day 1

    Foundations of AI Governance and Responsible AI

    • Defining AI governance and its scope
    • Drivers for governance in the public and private sectors
    • Ethics principles: fairness, accountability, transparency, and privacy
    • Governance challenges across different AI systems
    • Governance failures: Amazon recruiting AI and COMPAS
    • Global AI governance models and frameworks
    • Building the business case for responsible AI
    • Mapping governance needs in your organisation
  2. Day 2

    Regulatory Landscapes and Compliance Requirements

    • Global AI regulations, classifications and compliance obligations
    • GDPR and regional data protection requirements affecting AI
    • Governance requirements for high-risk systems
    • AI documentation, transparency, and reporting
    • Building internal compliance frameworks
    • Conducting a regulatory impact assessment
  3. Day 3

    Risk Management, Bias, and Algorithmic Transparency

    • Technical, operational, ethical, and societal risks
    • Detecting and mitigating bias and assessing fairness
    • Explainable AI (XAI) methods and tools
    • Governance for generative AI and large language models
    • Managing and monitoring the AI model lifecycle
    • Risk registers, control checkpoints, and audit trails
    • Testing and validating AI systems
    • Assessing risk and bias in practice
  4. Day 4

    Designing and Implementing AI Governance Frameworks

    • Committees, roles, and oversight responsibilities
    • Accountability models for ownership and decision-making
    • Causes, blind spots, and governance gaps of Shadow AI
    • Why Shadow AI emerges despite existing policies
    • Integrating Shadow AI oversight into governance structures
    • Organisational governance models including NIST and ISO
    • Creating AI governance policies, acceptable-use rules and standard operating procedures
    • Controlling employee use of public and generative AI tools
    • Evaluating and approving third-party AI vendors
    • Managing Shadow AI in embedded tools and SaaS platforms
    • Human-in-the-loop (HITL) and human-on-the-loop (HOTL) controls
    • Responding to and escalating Shadow AI misuse or failure
    • Governance for generative AI and autonomous systems
  5. Day 5

    Strategy, Maturity Models, and Future Trends

    • Developing an enterprise strategy for AI governance
    • AI maturity assessments and roadmaps
    • Aligning governance with corporate values and ESG goals
    • Integrating oversight into digital transformation programmes
    • Preparing for autonomous systems, AGI, and future regulations
    • Designing a complete AI governance blueprint
    • Course assessment
    • Action plan for implementation

Certificate

Every delegate who completes the course receives an ARUK Training Certificate of Attendance.

Frequently asked questions

How do I register?

Choose a date and city in the schedule and press Register, or send us an enquiry. Our team confirms your place and sends an invoice.

Are fees shown with VAT?

Fees are shown per delegate and exclude VAT, which is added to the invoice where applicable.

Can this course be delivered for our team only?

Yes. Any ARUK course can be delivered in-house at your premises, in a meeting room we book for you, or 1-to-1.

Is this course available online?

Yes. We run it live online with a trainer, on dates that suit your team, for £1,850 + VAT per delegate.

Is there a group discount?

Yes. 20% for 2 delegates, 35% for 3 delegates and 50% for 5 or more delegates on the same course.

Can the course be delivered in Arabic or another language?

Yes. Our courses can be delivered in English, Arabic or any European language, by a trainer who teaches in that language. Mention your preferred language when you register or enquire.

What certificate will I receive?

An ARUK Training Certificate of Attendance.

Related courses

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AI Governance: Frameworks and Best Practices

Key booking terms (read before you register)
  • The full fee is paid in advance, before the course starts.
  • Cancel in writing 30 or more days before the start date (45 for in-house) for a refund. Later than that, the full fee is payable.
  • No refund for non-attendance or partial attendance.
  • Places are for the named delegate only; another person cannot attend instead.
  • Moving to another date or city is only possible if ARUK agrees in writing.
  • Travel, accommodation and visas are your responsibility. A refused visa does not change the cancellation terms.

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AI Governance: Frameworks and Best Practices