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+44 (0) 207 874 5000

Responsible AI Governance for Organizations

Course 5206

  • Duration: 1 day
  • Language: English
  • Level: Foundation

This intensive workshop equips AI practitioners, risk managers, and organisational leaders with practical frameworks for navigating AI governance in an evolving regulatory landscape. Through comparative case studies, and scenario-based learning, participants will develop skills to assess AI risks, design effective governance structures, and ensure compliance across multiple jurisdictions. The course covers emerging regulatory approaches from the EU AI Act to sector-specific US frameworks, while providing actionable tools for risk assessment, stakeholder engagement, and policy implementation. Participants leave with checklists and strategic insights to immediately strengthen their organisation's AI governance capabilities and regulatory readiness.

Responsible AI Governance Training Delivery Methods

  • Online

Responsible AI Governance Training Information

  • There are no formal prerequisites for this course. However, participants will benefit from:

    • A basic understanding of artificial intelligence and machine learning concepts
    • Familiarity with their organisation's business processes, governance structures, or compliance requirements
    • Experience participating in technology, risk, policy, compliance, or digital transformation initiatives
    • Basic computer literacy, including the use of web-based applications and collaboration tools

    Recommended (Not Required)

Responsible AI Governance Training Outline

Activities Include:

  • The Regulatory Landscape and Policy Frameworks
  • Risk Assessment and Management
  • Implementation Strategies

Chapter 1: AI Governance Fundamentals

  • Definitions and scope
  • Core governance principles
  • Roles and responsibilities
  • Governance lifecycle
  • Key artifacts and tools

Chapter 2: The Regulatory Landscape and Policy Frameworks

  • Domestic legal context and sectoral rules
  • International norms and standards (OECD, ISO, EU, etc.)
  • Regulatory approaches
  • Compliance levers
  • Intersection with data protection, transparency, and public-sector obligations

Chapter 3: Risk Assessment and Management

  • Types of risk
  • Risk assessment methodology
  • Mitigation strategies
  • Monitoring and incident response
  • Evaluation and audit

Chapter 4: Implementation Strategies

  • Embedding governance in procurement and contracts
  • Operational controls and technical safeguards
  • Capacity building and organisational change
  • Stakeholder engagement and transparency
  • Using roadmaps and phased deployment

Chapter 5: Future Considerations

  • Emerging technologies and capability risks
  • Anticipatory regulation and adaptive governance
  • Cross-jurisdictional coordination and international cooperation
  • Building resilient institutions
  • Next steps and actionable priorities
Commercial Pricing

£690

  • 1-Day Live Instructor-Led Training

  • Hands-on Labs

  • After-Course Instructor Coaching Included

Would you like to take this course as a team?
  • Aug 31 2:00 PM - 9:30 PM BST
    Virtual
  • Sep 21 9:00 AM - 4:30 PM BST
    Virtual
  • Oct 14 2:00 PM - 9:30 PM BST
    Virtual
  • Nov 2 9:00 AM - 4:30 PM GMT
    Virtual
  • Nov 30 2:00 PM - 9:30 PM GMT
    Virtual
  • Dec 14 9:00 AM - 4:30 PM GMT
    Virtual
  • Jan 12 2:00 PM - 9:30 PM GMT
    Virtual
  • Feb 2 9:00 AM - 4:30 PM GMT
    Virtual
  • Mar 4 2:00 PM - 9:30 PM GMT
    Virtual
  • Mar 23 9:00 AM - 4:30 PM GMT
    Virtual
  • Apr 13 2:00 PM - 9:30 PM BST
    Virtual
  • May 4 9:00 AM - 4:30 PM BST
    Virtual
  • Jun 2 2:00 PM - 9:30 PM BST
    Virtual
  • Jun 22 9:00 AM - 4:30 PM BST
    Virtual

Scroll to view additional course dates

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Responsible AI Governance Training FAQs

This intensive workshop equips AI practitioners, risk managers, and organisational leaders with practical frameworks for navigating AI governance in an evolving regulatory landscape. Through comparative case studies, and scenario-based learning, participants will develop skills to assess AI risks, design effective governance structures, and ensure compliance across multiple jurisdictions.

The course covers emerging regulatory approaches from the EU AI Act to sector-specific US frameworks, while providing actionable tools for risk assessment, stakeholder engagement, and policy implementation. Participants leave with checklists and strategic insights to immediately strengthen their organisation's AI governance capabilities and regulatory readiness.

  • AI/ML practitioners and data scientists responsible for developing, deploying, or maintaining AI systems who need to understand compliance requirements and build governance into their workflows
  • Risk managers, compliance officers, and legal professionals tasked with ensuring organisational AI practices meet regulatory standards and managing AI-related risks across different jurisdictions
  • Senior executives, product managers, and strategic leaders making decisions about AI investments, deployment strategies, and organisational governance frameworks in regulated environments
  • Policy professionals, consultants, and advisors working with organisations on AI strategy, regulatory compliance, or helping clients navigate the evolving AI governance landscape

  • Basic digital literacy, for example comfort with email, web links, and collaborative docs
  • Familiarity with participant’s own agency/programme responsibilities so they can relate cases to real work
  • Some exposure to basic AI/ML concepts

Approximately 40% of time on the course is devoted to activities. These include group discussions on:

  • The Regulatory Landscape and Policy Frameworks
  • Risk Assessment and Management
  • Implementation Strategies

This course is designed for:

  • AI and data practitioners who need to understand governance and compliance requirements
  • Risk managers, compliance officers, and legal professionals
  • Product managers and programme managers overseeing AI initiatives
  • Senior leaders responsible for AI strategy and governance
  • Policy professionals and advisors supporting AI adoption efforts
  • Government and public-sector personnel responsible for AI oversight
  • Consultants supporting AI governance, compliance, and risk initiatives

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