Advanced Digital Innovation - Valorising AI

Advanced Digital Innovation - Valorising AI

Challenges in Valorising Artificial Intelligence : Protection, Management and Commercialisation of AI Research Result

Book Your Place

22 April 2026 09:00 - 17:00 CET Online
Members
€400.00
Non-members
€520.00

Course Description

Artificial Intelligence is moving faster than ever, presenting unprecedented challenges and opportunities for Knowledge Transfer Offices. Who owns the rights to training data? How do we license an AI model compared to traditional software? What impact will the new regulatory landscape have on university spin-offs?

This intensive one-day online course provides a practical, step-by-step guide to protecting, managing, and commercialising AI research results. From understanding the core components of AI outputs (training data, algorithms, and models) to navigating complex IP protection and regulatory requirements, participants will gain the tools needed to confidently manage AI innovations within their institution.

Through expert insights, real-world case studies, and hands-on exercises, participants will master actionable strategies to address:

  • IP & Patentability Challenges: Navigating patents, copyrights, training data and AI-generated outputs.
  • Regulatory & Compliance Developments: Understanding the impact of the EU AI Act, GDPR, and ethical risk screening on knowledge transfer.
  • AI-Specific Licensing: Demystifying proprietary, open-source, open-weight models, and Responsible AI Licenses (RAIL).
  • Commercial Pathways: Structuring viable business models, including SaaS, strategic partnerships, and successful AI spin-offs.

Who should attend?

This course is ideal for professionals involved in knowledge transfer, innovation management, and IP protection who are actively working with AI-based technologies. It is particularly relevant for:

  • Knowledge and Technology Transfer professionals
  • IP and patent managers
  • Research and innovation managers
  • Legal and compliance professionals dealing with AI and data regulations
  • Business development professionals supporting AI spin-offs and software licensing

If you are seeking practical, up-to-date guidance on how to protect, manage, and successfully valorise AI innovations, this course is tailored for you.

Learning objectives

By the end of this highly interactive course, participants will be able to:

  • Identify and analyze the key components of AI-based research results relevant to knowledge transfer and valorisation.
  • Elaborate appropriate protection strategies for AI innovations, encompassing all relevant IP rights (patents, copyrights, trade secrets, and data rights).
  • Navigate the complex regulatory landscape surrounding AI technologies.
  • Develop a practical, hands-on management and compliance checklist for screening AI research outputs.
  • Assess different licensing models for AI technologies and determine the most appropriate approach for specific use cases.
  • Identify viable, real-world business models for valorising AI-based innovations.

Booking Options

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Testimonials

testimonial

Just perfect 3 days full of information and perfect communication.

Petr Kubečka

Palacký University Olomouc, Czech Republic

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ASTP has attained a unique position that has turned it into a highly valued player on the global technology transfer scene.

Koenraad Debackere

KU Leuven, Belgium

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Excellent organisation, multifarious activities, great atmosphere… I can't say enough about how well it is tailored to the needs of technology transfer professions.

Tamara Čolić Milosavljević

Centre of Technology Transfer - University of Belgrade, Serbia

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ASTP's conference helped us to network with decision-makers in the technology transfer industry and provides a great platform to discuss future innovation in this sector.

Christopher Römer

Inventtory, Germany

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Recent studies on both sides of the Atlantic, directed by either ASTP or AUTM, demonstrate the tremendous economic and societal benefit and value technology transfer has brought us.

Koenraad Debackere

KU Leuven, Belgium