Chapter 8: Opportunities and Challenges for Technology Transfer
• In Technology Transfer, artificial intelligence tools provide a promise of
efficiency to Technology Transfer Offices, but with some obstacles.
• As digital platforms and data become central to innovation ecosystems,
their evolving use and governance present both strategic advances and
ethical challenges for Technology Transfer.
• Open Innovation is transforming Technology Transfer by replacing
traditional linear IP licensing models with collaborative, cross-boundary
approaches that accelerate the flow of knowledge from research to market.
Artificial Intelligence (AI) refers to the field of computer science that
focuses on creating systems and algorithms capable of performing tasks
typically requiring human intelligence.
• In the context of Technology Transfer, AI can be used to: estimate market
potential, estimate technology readiness level, draft legal agreements,
evaluate for patentability.
• Case Study: In 2020, the U.S. Patent & Trademark Office began
incorporating AI into processes for conducting prior art searches. It
remains to be seen how patent offices worldwide balance the growing
number of applications with their metrics to evaluate such applications
thoroughly and efficiently.
Read- https://cldp.doc.gov/sites/default/files/2025-11/CLDP%20Technology%20Transfer%20Handbook.pdf

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