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 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
ASTP corroborates the strong need for profound insights and exchanges on practices, instruments and competencies that cut across functional, organisational, institutional, sectorial and geographic boundaries.
Koenraad Debackere
KU Leuven, Belgium
Three days of learning and networking in Dublin at ASTP annual conference. What a great event!!
Sandra Aresta
CIBIO - Centro de Investigação em Biodiversidade e Recursos Genéticos, Portugal
ASTP Conference offers great networking and learning opportunities; a chance to share knowledge with colleagues from various areas of expertise.
Bruno Woeran
Merinova OY - TII President, Finland
Organisation and speakers were great, so enthusiastic about their work and very good at transferring their knowledge.
Sarka Bartova
Research Centre Rez, Czech Republic
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