AI Law & Governance Training 2026 

AI Governance and Law Practicum - Speakers
Istanbul, Türkiye
June 17–20, 2026
3-Day Immersive Training
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Jointly developed by AEGIX, Clarion AI Partners, and Kirton McConkie Law Firm, this immersive training brings together practitioners from a leading AI governance institute and two leading AI law firms. The program moves from foundational AI literacy to applied lifecycle risk and advanced governance strategy, equipping participants to operate as strategic AI advisors capable of navigating emerging systems and global regulatory complexity.

Featured Speakers

Medlir Mema

Medlir Mema

Director, AI Ethics and Governance Institute +

Julie Slater Crane

Julie Slater Crane

Shareholder, Kirton McConkie Law Firm +

Bennett Borden

Bennett Borden

Founder and CEO, Clarion AI Partners +

Caryn Lusinchi

Caryn Lusinchi

Director of AI Academy, AEGIX +

Jonathan Bench

Jonathan Bench

Shareholder, Kirton McConkie Law Firm +

Gloria Shkurti Özdemir

Gloria Shkurti Özdemir

Director of Research, AEGIX +

A Training for Future Leaders in AI Law and Governance

The AI Law and Governance Training is a three-day immersive program designed for graduate students, government officials, lawyers, and professionals seeking practical, cross-jurisdictional fluency in the law and governance of artificial intelligence.

The program develops clear, non-technical understanding of how AI systems function across the lifecycle, strengthens familiarity with global AI governance frameworks, and prepares participants to move beyond reactive compliance and position themselves as strategic AI advisors within their institutions.

Target Audience

Graduate students, government officials, lawyers, and mid-career professionals seeking to advance their expertise in AI law, ethics, and governance across diverse global contexts.

Aims of the Programme

The AI Law and Governance Training develops a clear, non-technical understanding of how AI systems function across the lifecycle, from data collection and training to deployment and outputs. It strengthens participants' familiarity with global AI governance frameworks across the EU, United States, Middle East, APAC, and Global South, while examining how these systems interact, conflict, and evolve.

The program approaches AI as a global sociotechnical system shaped by power, political economy, institutional design, and societal values. Through a comparative and interdisciplinary lens, participants examine how legal risks, governance challenges, and regulatory responses vary across sectors, regions, and levels of authority.

Ultimately, the program prepares participants to move beyond reactive compliance and position themselves as strategic AI advisors within their institutions. By fostering a shared vocabulary and applied analytical framework, the program enables participants to navigate regulatory uncertainty, anticipate emerging risks, and contribute meaningfully to the development of responsible AI governance worldwide.

What to Expect

Clear, Applied AI Literacy

A structured, non-technical explanation of how AI systems function across the lifecycle, including foundation models, generative systems, and multi-agent architectures, with a focus on where legal risk actually arises.

Cross-Jurisdictional Governance Insight

Comparative analysis of AI regulation and enforcement across the EU, United States, Middle East, APAC, and Global South, with attention to extraterritorial reach, regulatory friction, and practical compliance realities.

Lifecycle Risk & Enterprise Scenarios

Hands-on engagement with real-world scenarios involving intellectual property, discovery, data provenance, supply chains, liability allocation, and documentation requirements across complex AI stacks.

Strategic Lawyering & Future Positioning

Preparation to advise institutions and enterprises on AI deployment, anticipate enforcement trends, navigate gray areas, and transition from compliance responder to strategic governance architect.

Learning Objectives

By the end of the program, participants will be able to:

1

Explain the AI system lifecycle, including the distinctions between training and inference, generative and predictive systems, and single-agent versus multi-agent architectures.

2

Identify where legal risk arises across data sourcing, model development, deployment, outputs, and post-deployment updates.

3

Analyze intellectual property, copyright, authorship, and attribution issues in the context of AI training and outputs across multiple jurisdictions.

4

Compare key elements of AI governance frameworks in the EU, United States, Middle East, APAC, and Global South, including enforcement mechanisms and regulatory gaps.

5

Advise on cross-border compliance challenges, including extraterritorial regulation, localization laws, and conflicting legal obligations.

Skills Acquired

Participants will develop practical competencies essential for navigating the complex legal landscape of AI governance:

Translating technical AI concepts, system architectures, and lifecycle stages into legally relevant risk assessments and clear advisory guidance that can be communicated effectively to clients, regulators, and internal stakeholders.

Conducting comprehensive AI lifecycle risk analyses that evaluate exposure across data sourcing, model training, fine-tuning, deployment, outputs, monitoring, and system updates, with attention to jurisdictional variation and evidentiary implications.

Evaluating intellectual property, copyright, authorship, attribution, and data provenance questions arising from AI training and generative outputs, while comparing how these issues are treated across different legal systems.

Advising institutions and enterprises on cross-border regulatory exposure, extraterritorial enforcement, data localization requirements, and conflicting compliance obligations under emerging global AI governance regimes.

Framing AI governance not solely as a compliance function, but as a strategic exercise in institutional design, risk management, and long-term organizational resilience in an evolving technological environment.

Participants are responsible for arranging their own travel and accommodation. AEGIX can provide official invitation and support letters to assist with administrative requirements.

Full Program 2026