Audience:

UK-based AI developers, deployers, compliance officers, legal teams, and business leaders.

Goal:

Equip participants with the knowledge and tools to ensure their AI systems comply with the EU AI Act.

Module 1: Introduction to the EU AI Act

Objectives:

• Understand the purpose and scope of the EU AI Act.
• Identify when and how it applies to UK businesses.
• Explore the risk-based classification of AI systems (prohibited, high-risk, limited-risk, minimal-risk).

Module 2: Key Compliance Requirements

Objectives:

• Learn transparency, data quality, and human oversight requirements.
• Understand obligations for high-risk AI systems (technical documentation, risk management, conformity assessments).
• Explore record-keeping and post-market monitoring.

Module 3: Prohibited Practices and Ethical Use

Objectives:

• Identify prohibited AI practices (e.g., subliminal manipulation, social scoring).
• Discuss ethical boundaries and reputational risk.
• Understand implications for marketing, HR, and financial services AI tools.

Module 4: Transparency and Labeling Requirements

Objectives:

• Understand labeling rules for AI-generated content.
• Learn how to disclose AI interaction and data provenance.
• Review documentation and communication templates.

Module 5: Human Oversight and Governance

Objectives:

• Define human oversight roles and accountability models.
• Design governance frameworks aligned with EU expectations.
• Map responsibilities across the AI lifecycle (developer → deployer).

Module 6: Implementation & Ongoing Compliance

Objectives:

• Build a compliance roadmap and timeline.
• Integrate with existing GDPR and ISO frameworks.
• Learn about auditing, documentation, and incident reporting.

Optional Module 7: Sector-Specific Breakouts

Objectives:

• Tailored compliance examples and risk assessment exercises.