AI Act Crash Course

AI Act Crash Course

AI Literacy Learning Path

Acquire the necessary AI literacy skills to understand and implement the AI Act

About the Course

  • Date

    T.b.d.

  • Time

    13.00 – 17.00

  • Location

    Amsterdam, LAB42

  • Price

    € 495 (incl. VAT)

  • Type

    Short course

Programme

Description

This session covers the main elements of the AI Act, as a basis for exploring its concrete implications in the next sessions. It covers the history, objective and goals of the AI Act. It explains the different structures for types of AI systems, models and application domains, and the enforcement structure including its timelines.

Covered Content

  • History and Objective
  • Scope and Exclusions
  • Risk Based Regime
  • General Purpose AI Regime
  • Penalties

Description

This session explores the AI Act’s regime for AI systems with an intended purpose. Through practical, case based exercises participants will learn to understand when AI practices are prohibited, what the various obligations along the AI value chain involve, and how the AI Act impacts their system and organizations.

Covered Content

  • Prohibited AI practices – Is my system prohibited?
  • High Risk AI – AI Act Classification
  • High Risk AI requirements – Implications at system and organization level (data, model, oversight)
  • Roles and obligations along the AI value chain

Description

This session explores the AI Act’s regime for General Purpose AI Models. Mixing theory and practice, participants will be guided through the requirements for GPAI model providers and the GPAI Code of Practice.

Covered Content

  • GPAI model definition, systemic risks
  • GPAI requirements
  • GPAI code of practice
  • System Card v. AI Act
  • The history of the AI Act
  • The underlying objectives of the AI Act and how to understand them
  • What is in scope and what is excluded
  • How to understand the risk-based approach
  • How to classify AI systems under the AI Act
  • Understanding and identifying prohibited AI practices
  • Understanding the requirements for high risk AI
  • The implications of high risk AI requirements at system and organization level
  • When and how to apply the regime for General Purpose AI (GPAI)
  • The GPAI Code of Practice

What You Will Learn

What You Will Learn

  • The history of the AI Act
  • The underlying objectives of the AI Act and how to understand them
  • What is in scope and what is excluded
  • How to understand the risk-based approach
  • How to classify AI systems under the AI Act
  • Understanding and identifying prohibited AI practices
  • Understanding the requirements for high risk AI
  • The implications of high risk AI requirements at system and organization level
  • When and how to apply the regime for General Purpose AI (GPAI)
  • The GPAI Code of Practice

For Whom

AI Act compliance not just a legal exercise. The AI Act holds many technical requirements and needs an ethical and social mindset. That’s why this course is valuable to all who have a stake in ensuring that AI is designed, developed and deployed in a compliant manner. From AI developers to policy makers and form public to private actors.

  • (Senior) management, C-suite
  • Legal & compliance officers
  • Policy makers, public administrators
  • AI project leaders, AI developers, data scientists
  • National Competent Authorities, Market Surveillance Authorities
  • Corporate Sustainability Experts
  • Academics, PhDs and Post Docs
  • Civil society representatives

Benefits

Lecturers

Lecturers

Catelijne Muller

Expertise: AI Act, AI & Society, Law and Policy

President of ALLAI. Master of Laws; EU Policy expert; Member of EU High Level Expert Group on AI; AI Rapporteur of the European Economic and Social Committee; Expert advisor on AI to the Council of Europe.

Miguel Valle del Olmo

Expertise: AI Policy, AI Act

Digital Transformation Attaché in the Spanish Permanent Representation to the EU. In charge of negotiating the AI Act on behalf of Spain, during its Presidency of the European Council.

Pricing