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Aleksandr Tiulkanov

AI and Data Policy Lawyer

Aleksandr Tiulkanov is an AI and Data Governance Advisor with extensive experience in legal and compliance matters, particularly in IT law and digital policy.1 He previously held the position of Special Adviser on Digital Development at the Council of Europe4, where he contributed to the development of AI policies and regulatory frameworks.7

Professional Background

Tiulkanov has been working in legal and compliance since 2003, with a focus on IT law and digital policy since 2015.1 His career includes:

  • Former Special Adviser on Digital Development at the Council of Europe4
  • Senior Manager for Technology, Media and Telecoms at Deloitte Legal1
  • Involvement in drafting AI laws and policies for two nations6

Education and Certifications

  • LL.M. in Innovation, Technology and the Law from the University of Edinburgh (2018)1
  • IAPP Certified Information Privacy Professional / Europe (CIPP/E) (2022)1
  • ForHumanity Certified in the Foundations of Independent Audit of AI Systems (2023)1

Current Roles and Activities

Tiulkanov is currently involved in various aspects of AI governance:

  • Teaching AI Governance at the RPPA and the Data Privacy Office1
  • Member of the AFNOR CN IA, the French Commission on AI Standardisation (since 2024)1
  • Member of the CEN/CENELEC JTC 21 (Artificial Intelligence) WG 2 and WG 4 (since 2024)1
  • ISO 42001 Implementer6

Contributions to AI Policy

Tiulkanov has been actively involved in AI policy development:

  • Participated in the process leading to the Council of Europe's Committee on AI approving the first global treaty on AI23
  • Provides insights on the Council of Europe's Convention on AI, which aims to set basic common standards on AI and is expected to be adopted in the near future5

His LinkedIn username is indeed tyulkanov, as mentioned in the query.2

Highlights

Jun 5 · linkedin

A funny paradox emerging from the experiences being shared in Cascais at the #FIPP panel on publishers' deals with AI companies.

No deal agreed - AI people to publishers: we claim fair use.

Deal agreed - the same AI people to publishers: we want you to indemnify us for any claims based on you failing to clear and trace IP rights properly.

Mar 3 · linkedin

Bad news from Paul McGreal for everyone who was hopeful about the ability of LexisNexis to come up with a trustworthy generative AI search engine for the legal domain.

There were reasons to be hopeful. Their Lexis+ AI was trained on quality proprietary legal domain-specific data, not your average webscraped garbage. Data quality is important when you're training models.

But if it is still principally the same type of generative model the major market players are currently supplying, it looks like you will still end up with non-factual data in outputs.

A huge blow to the attempts to legitimise "generative search" in the legal domain.

So, at least for the moment, stick to old rules-based legal research systems to keep your research hallucination-free, colleagues.

Screenshot from: https://lnkd.in/eQAcuGpP

Related Questions

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Aleksandr Tiulkanov
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Location

Strasbourg, Grand Est, France