Overview
Introduction and Purpose of the new AI regulation, Understand all the chapters of EU Artificial Intelligence Act including Prohibited AI practices and High Risk AI systems, Governance Requirements for High Risk AI systems, Conformity Assessment Procedure for key High Risk AI systems, Transparency Requirements and General Purpose AI models
Data Scientists and Machine Learning Engineers who want to understand the EU AI regulations, Businesses and Users who want to deploy AI models in the EU region, Product Owners & Managers who are working on AI products in the EU region, Anyone who wants a deeper understanding of EU AI regulations
No programming experience or skill is required, A basic understanding of Artificial Intelligence is recommended, A basic understanding of Artificial Intelligence Model Lifecycle is recommended
In March 2024, The European Parliament approved the Artificial Intelligence Act to govern the use of AI in the European market.
With the recent advances in Machine Learning & Artificial Intelligence and the introduction of generative AI like GPT-4 and DALL·E, government and regulatory bodies around the world are showing tremendous interest in strengthening existing regulations or introducing new ones. The EU AI act was first proposed in April 2021. On 14 June 2023, MEPs adopted Parliaments negotiating position on the AI Act and talks began with EU countries in the Council on the final form of the law. On 9th December 2023 MEPs reached a political deal with the Council on the Act. On 6th March, 2024 the regulation was endorsed by MEPs with 523 votes in favour, 46 against and 49 abstentions. This will go through a final lawyer-linguist check and will need to be formally endorsed by the Council before its publication in the official Journal (expected before June 2024).
It will enter into force twenty days after its publication in the official Journal, and be fully applicable 24 months after its entry into force, except for: bans on prohibited practices, which will apply six months after the entry into force date; codes of practice (nine months after entry into force); general-purpose AI rules including governance (12 months after entry into force); and obligations for high-risk systems (36 months).
What this course is - A thorough chapter wise walkthrough of the EU AI Act to help you grasp its tenets.
What this course is not - Analysis or implementation of the Act. At this point, the information in the Act is at a very high level and the European Commission and the AI Office will release further information like common standards, templates, clarified definitions with example and other such information closer to the time when this Act becomes applicable.
The course content is based on the pre-final version (released to public in March 2024) which can be downloaded in Section 1. The core tenets of the act are finalized and only changes expected at this stage are linguistic. Significant changes if any will be updated in the course.
As of March 2024, the proposed penalties for non-compliance are as below:
35 million EUR or 7% of worldwide revenue in past financial year (whichever is higher) for non-compliance with prohibited AI practices in Article 5
15 million EUR or 3% of worldwide revenue in past financial year (whichever is higher) for non-compliance with any other regulation in the Act (other than Article 5)
7.5 million EUR or 1% of worldwide revenue in past financial year (whichever is higher) for supplying incorrect, incomplete or misleading information to notified bodies or national authorities
15 million EUR or 3% of worldwide revenue in past financial year (whichever is higher) for general purpose AI models when the Commission finds that the provider intentionally or negligently:
What is covered in this course?
Section 1
Course Introduction
Introduction and Purpose of the Act
Section 2
Chapter 1: General Provisions (Scope & Definitions)
Chapter 2: Prohibited AI practices
Section 3
Chapter 3 Section 1: Classification of AI systems as High Risk
Chapter 3 Section 2: Requirements for High Risk AI systems
Chapter 3 Section 3: Obligations of providers and deployers of High-Risk AI systems and other parties
Chapter 3 Section 4: Notifying authorities and notified bodies
Chapter 3 Section 5: Standards, Conformity Assessment, Certificates, Registration
Section 4
Chapter 4: Transparency Obligations for Providers and Deployers of certain AI Systems
Chapter 5: General Purpose AI Models
Section 1: Classification rules
Section 2: Obligations for providers of general-purpose AI models
Section 3: Obligations for providers of general-purpose AI models with systemic risk
Chapter 6: Measures in Support of Innovation
Section 5
Chapter 7: Governance
Section 1: Governance at Union level
Section 2: National competent authorities
Chapter 8: EU Database for High-Risk AI Systems
Chapter 9: Post-market Monitoring, Information Sharing, Market Surveillance
Section 1: Post-market monitoring
Section 2: Sharing of information on serious incidents
Section 3: Enforcement
Section 4: Remedies
Section 5: Supervision, investigation, enforcement and monitoring in respect of providers of general-purpose AI models
Section 6
Chapter 10: Codes of Conduct and Guidelines
Chapter 11: Delegation of Power and Committee Procedure
Chapter 12: Penalties
Chapter 13: Final Provisions
Enroll now to develop a thorough understanding of European Union Artificial intelligence Act and the regulatory requirements for taking AI systems to market in the EU!
Disclaimer: This course is only intended to serve as training material to aid in understanding of the EU AI Act and not as a legal interpretation of the Act. The instructor cannot be held responsible for any interpretation, judgement or view expressed in the course.
Manjesh Gupta
12 years of experience across Artificial Intelligence, Machine Learning, Cloud, Data Analytics, Data Quality, Research, IT Project Management, Stakeholder Management, Change Management and Capacity Building. Currently working as a Solution Architect building enterprise solutions in Data and Machine Learning for one of the largest UK banks. AWS Certified Machine Learning Specialty and GCP Certified Machine Learning Engineer. Kaggle Competitions Expert