The EU Artificial Intelligence (AI) Act Compliance

Master the key aspects of EU AI Act compliance

A closer view of a bird feather with its unique patterns and different colors

A one-day AI Act course

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Download: Course Outline

Module 1: Introduction to the EU AI Act (30 minutes)

AI compliance training begins with an overview of the legislative framework and objectives of the EU AI Act
Key definitions: AI system, provider, deployer, high-risk AI, general-purpose AI (GPAI)
Scope and applicability: Who needs to comply?
Timelines for implementation

Module 2: Risk Classification of AI Systems (45 minutes)

Four-tier risk classification:
- Unacceptable risk (prohibited AI systems)
- High-risk AI systems and regulatory obligations
- Limited risk AI systems and transparency requirements
- Minimal risk AI systems (unregulated but encouraged to follow best practices)
Case studies of AI system classification

Module 3: Prohibited AI Practices (45 minutes)

Overview of Article 5 of the EU AI Act
Prohibited AI applications:
- Subliminal/manipulative AI causing significant harm
- Exploitation of vulnerable populations
- Biometric categorisation of sensitive attributes
- Social scoring systems
- Predictive policing based on profiling or personal traits
- Mass facial recognition via untargeted scraping
- Emotion recognition in workplaces and education (exceptions apply)
- Real-time biometric identification in public spaces (limited exceptions)
Module 3 of the AI Act training concludes with the legal consequences of non-compliance

Module 4: Compliance Requirements for High-Risk AI Systems (1 hour)

Identifying high-risk AI use cases (Annex I & III)
Obligations for providers (developers) of high-risk AI:
- Risk management systems throughout the AI lifecycle
- Data governance and dataset quality requirements
- Technical documentation and compliance demonstration
- Logging and record-keeping
- Human oversight mechanisms
- Accuracy, robustness, and cybersecurity requirements
- Quality management systems
Obligations for deployers (users) of high-risk AI:
- Monitoring and reporting obligations
- Ensuring human oversight
- Data protection and transparency duties
Case study: Implementation of high-risk AI compliance requirements

Module 5: General-Purpose AI (GPAI) and Systemic Risk (45 minutes)

This AI compliance course looks at the definition and obligations for GPAI providers
Compliance requirements:
- Technical documentation
- Copyright Directive compliance
- Summary of training data
- Cooperation with high-risk AI system providers
Systemic risk criteria and obligations for high-impact GPAI:
- Model evaluation and adversarial testing
- Risk assessment and mitigation
- Serious incident reporting
- Cybersecurity protections
Role of voluntary codes of practice and harmonised standards

Module 6: Governance, Enforcement, and Penalties (30 minutes)

Role of the AI Office and national supervisory authorities
Mechanisms for compliance monitoring and enforcement
Complaint mechanisms for downstream providers
Penalties for non-compliance and risk mitigation strategies

Module 7: Practical Compliance Strategies for Organisations (45 minutes)

Developing an AI compliance framework
Conducting AI impact assessments and risk classification
Integrating legal, ethical, and technical compliance practices
Documentation best practices for audits and regulatory reviews
Case study: Best practices from leading AI companies

Q&A and Closing Discussion (30 minutes)

AI Compliance training: open floor for participant questions
Final thoughts on navigating compliance challenges
Recommended next steps for organisations

A distinguished professional with over two decades of experience delivers Redcliffe's AI Act training. He is a specialist in regulatory compliance, risk management, and anti-financial crime (AFC) within the banking and infrastructure sectors. His expertise also spans:

Anti-Money Laundering (AML)
Countering the Financing of Terrorism (CFT)
Anti-Bribery and Corruption (ABAC) compliance
Sanctions compliance
Corporate governance
Non-financial risk management
Data privacy regulations

Redcliffe’s specialist has held leadership roles in regulatory and compliance functions, served on audit committees and contributed to major international organisations, including the United Nations, Inter-American Development Bank and HSBC. As a consultant and advisor, he has supported risk management, internal controls, and compliance program implementation across multiple industries and jurisdictions.

An AI compliance training expert, this programme leader is an accomplished academic, teaching at leading business schools. He is an author and editor of compliance and risk management publications and also engages in pro bono initiatives to promote business ethics and financial crime prevention.

Redcliffe’s AI Act course will ensure you gain the knowledge and skills to:

Understand the legal and regulatory framework for AI in the European Union.
Understand the changes and new obligations imposed by the EU AI Act.
Identify and assess the risks associated with AI system development and deployment.
Implement effective governance and compliance strategies for AI systems.
Ensure adherence to AI transparency and accountability requirements.
Navigate the ethical implications of AI.
Be fully up-to-date on the latest developments and best practices in AI.

AI compliance training focuses specifically on the unique compliance requirements of the EU AI Act, providing an analysis of its implications for businesses operating in the European market.
Sessions are delivered by a specialist with a proven track record in delivering compliance programs within the context of global financial markets.
Going beyond technical requirements, the course covers the legal, ethical, and governance aspects of AI compliance.
Courses incorporate industry case studies, interactive exercises, and practical resources to enhance the learning process.
The AI compliance course highlights the critical importance of staying current with evolving developments and best practices in a rapidly changing and innovative landscape.

AI Act training is designed for a broad range of professionals involved in or impacted by the development, deployment, and governance of AI systems in the EU. It is particularly relevant for:

Business leaders and executives
Legal and compliance professionals
AI developers and engineers
Data scientists and analysts
Product managers
Risk managers
Consultants and advisors

AI compliance training provides a comprehensive understanding of the compliance framework under the EU’s regulation on AI. This course is delivered by an experienced specialist with a long track record in the global financial markets and specialisation in the implementation of data privacy compliance.

Whether you are a provider, user, developer, manager, advisor, regulator, or investor, this course is essential for preparing for the upcoming regulatory landscape and for ensuring the responsible and compliant use of AI.

Case Study: The participants will use a variety of case studies and exercises based on hypothetical and real cases (the latter, based on publicly available information).

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