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.
ASTP brought the right structure and terminology to my knowledge of technology licensing.
René Widmer
ETH Transfer, Switzerland
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
ASTP has excellent courses to immerse yourself into the world of tech transfer.
Qing Cai
Vrije Universiteit Brussel, Belgium
The new website signals this pioneering, resonating role and is a tribute to the many accomplishments and innovations European TTO’s have generated and implemented over many years, thus strengthening both our economy and society.
Koenraad Debackere
KU Leuven, Belgium
Great atmosphere to learn and to share experiences.
Maria Ruiz Novales
Interface-Enterprises - University of Liege, Belgium
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