Program Overview

Navigating Emerging Regulation of Artificial Intelligence Global Compliance Aspects

About the Course

The course aims to provide an introduction to the emerging regulatory landscape for artificial intelligence (AI) technologies. Participants will learn about key global regulatory developments and gain a comprehensive introduction to the EU AI Act as a pioneering instrument and, to date, the most extensive AI-specific regulatory framework.

Course Description

The study of the EU AI Act focuses on aspects that are particularly relevant for businesses, including the underlying regulatory logic, key concepts and principles, and the practical application of the rules in business contexts. In addition, the course addresses data-related aspects of legal compliance relevant to AI systems, including regulatory regimes beyond the AI Act, in particular the GDPR and the EU Data Act. To facilitate understanding of legal requirements, the sessions will draw on practical examples and case studies.

Course Length

• 5 days
• 10 hours
• 15:00-17:00

Course Team

• Daria Kim: Course Lecturer, Senior Research Fellow, Intellectual Property and Competition Law
• Akbar Ismanjanov: Course Lecturer, Doctor of Science in Jurisprudence (DSc), Civil Law Status of Information

Entry Requirements

• Legal professionals of any background

Course Syllabus

Session 1 Why regulate AI, and how?

• Current understanding of technological risks associated with AI
• Regulatory approaches and instruments
• Regulatory developments in the EU, the UK, China, and Uzbekistan

Session 2 Zooming in on the EU AI Act

• General aspects: background, expected impact, and current state of implementation
• Key principles and core concepts
• Risk categories under the AI Act
• Scope of application (when is the EU AI Act relevant for Uzbek citizens and businesses?)
• Overall structure of obligations and requirements under the EU AI Act

Session 3 Spotlight on high-risk AI systems

• Classification of AI systems as high-risk
• Specific obligations and compliance measures (risk management systems, data and data governance, record-keeping, transparency, human oversight, authorised representatives of providers, conformity assessment, CE marking, registration)
• Case studies of practical relevance for providers, deployers, importers, and distributors of high-risk AI systems

Session 4 Regulatory requirements for other AI systems

• Transparency obligations for providers and deployers of certain AI systems
• Obligations and compliance measures for providers of general-purpose AI models
• Additional obligations for providers of general-purpose AI models with systemic risk

Session 5 Data-related aspects of AI

• The role of data in AI innovation
• Compliance aspects under the GDPR and the EU Data Act
• Data-sharing and model-sharing contracts
• Practical exercise on drafting a compliance plan
• Wrap-up and Q&A

Teaching Materials

• Slides
• Handouts

Course Assessment

• Formative Assessments: Allow development of competence while evaluating student performance following the logic of assessments that help to learn.
• Diagnostic Assessments: Aimed at identifying the progress of learners to the achievement of learning aims and addressing its needs.

Course Details

• Course fee: 2,000,000 UZS
• Format: Offline
• Duration: 5 days
• Total Hours: 10 hours
• Language: English
• Start Date: 2 September 2026
• Deadline for registration: 15 August 2026