Will Artificial Intelligence Shape The Future Of Technology Transfer? A Guide For Licensing Professionals

Area of Science:

• Technology Transfer
• Artificial Intelligence
• Innovation Management

Background:

• Artificial Intelligence (AI) is increasingly integrated across various sectors, including legal and biomedical fields.
• Effective technology transfer relies on efficient contract management and invention commercialization.
• AI presents potential solutions for optimizing complex technology transfer processes.

Purpose of the Study:

• To examine the current applications of AI in technology transfer.
• To review AI's capabilities in managing technology transfer agreements and commercialization.
• To assess the future potential impact of AI on the technology transfer landscape.

Main Methods:

• Literature review of AI applications in technology transfer.
• Analysis of AI tools for contract management.
• Evaluation of AI's role in invention commercialization processes.

Main Results:

• AI is emerging as a valuable tool for managing complex contracts in technology transfer.
• AI demonstrates capabilities in streamlining invention commercialization workflows.
• Current AI applications show promise for enhancing efficiency and effectiveness in technology transfer.

Conclusions:

• AI holds significant potential to revolutionize technology transfer operations.
• Further research and development are needed to fully leverage AI in this field.
• AI integration can lead to more efficient and successful technology transfer outcomes.