Legal issues of AI in research

Legal issues of AI in research

Best Practices for AI Results, Compliance & Licensing

Book Your Place

16 December 2025 10:00 - 12:30 CET Online
Members
€200.00
Non-members
€275.00

Research groups are embedding AI into research process and results. Examples include (a) creating new AI models as a research result, using existing or new models and datasets (b) embedding existing AI models or systems into a new result (c) scraping or otherwise obtaining data (licensing, online publication, etc.) for (re) training AI models in research labs (d) creating solutions (platforms, APIs, libraries) that leverage third party AI services such as OpenAI into research results (e) using AI to create code, images, text, data and other results (in part, hopefully, with human supervision afterwards). 

In the KT process, this usage can give rise to significant legal issues that need to be understood and managed by the KTO: regulatory compliance (data and AI), ownership and IP protection of results, licensing in conditions, exploitation models.

This masterclass reviews the different scenarios and presents state of the art and best practices in terms of protection and management of results, regulatory compliance and outbound licensing when AI is involved.

Who should attend?

This masterclass is designed for KT staff responsible for legal, compliance, and licensing, ensuring they gain the insights and updates needed to stay ahead in their roles.

Learning objectives

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

  • identify different AI usage “use cases” and their (legal) risk profiles for KT
  • analyse the legal impacts of using AI in terms of protection of results for each case
  • understand internal regulatory, contractual and legal compliance requirements, to support the subsequent KT process.
  • incorporate AI regulatory requirements into the KT process and outbound TTA
  • understand and negotiate licensing or research collaboration terms for AI solutions

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