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 compliance 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)

This module explores the prohibited practices set out in Article 5 of the EU AI Act, examining high-risk AI applications and the legal consequences of non-compliance.

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 AI Act training concludes with the legal consequences of non-compliance

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

This module examines the regulatory obligations for both providers and users of high-risk AI systems, focusing on lifecycle risk management, oversight, and practical implementation requirements.

Identifying high-risk AI use cases (Annex I & III)
The 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
The obligations for deployers (users) of high-risk AI:
- Monitoring and reporting obligations
- Ensuring human oversight
- Data protection and transparency duties conclude module 4 of AI compliance training
Case study: Implementation of high-risk AI compliance requirements

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

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)

Participants gain practical strategies to embed compliance and prepare for regulatory review in this section of our AI compliance course.

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)

Open floor for participant questions
Final thoughts on navigating compliance challenges
Recommended next steps for organisations

AI compliance training is delivered by a distinguished professional with over two decades of experience. A specialist in regulatory compliance, risk management, and anti-financial crime (AFC) within the banking and infrastructure sectors, his expertise 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

This expert 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.

Delivering AI act training, this programme lead is an accomplished academic, teaching at leading business schools. He is an author and editor of compliance and risk management publications, engaging in pro bono initiatives to promote business ethics and prevent financial crime.

AI compliance training ensures participants gain the knowledge and skills to:

Understand the legal and regulatory framework for AI in the European Union
Recognise 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
Maintain up-to-date knowledge of the latest developments and best practices in AI

This AI compliance course 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 Act Training at Redcliffe provides participants with a comprehensive understanding of the compliance framework under the EU’s AI regulation. Sessions are delivered by an experienced specialist with a long track record in the global financial markets and specialisation in data privacy compliance implementation.

Whether you are a provider, developer, deployer, manager, adviser, regulator or investor, this programme provides the knowledge needed to prepare for the evolving regulatory landscape and support. This AI compliance course is delivered at an agreed location.

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

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