When autocomplete results are available use up and down arrows to review and enter to go to the desired page. Touch device users, explore by touch or with swipe gestures.

This ATTP-accredited course introduces Knowledge Exchange (KE) and Technology Transfer (TT) professionals to the strategic, safe and ethical use of Artificial Intelligence (AI) in KE environments. Through live demonstrations, hands-on exercises and KE-specific case studies, participants learn how to use AI to support workflows, improve decision-making, assess outputs critically, and address governance, privacy, IP and ethical considerations in practice.

Key Topics

01 AI fundamentals and its role in Technology Transfer and Knowledge Exchange
02 AI tools and practical use cases for KE
03 Generative AI, data privacy and IP considerations
04 Safe AI: risks, hallucinations, ethics, governance and compliance
05 Hands-on KE/TT exercises with AI
06 Organisation-wide AI policy for KE teams

Learning Objectives

Identify AI tools that can enhance efficiency in daily KE and TT tasks

Apply appropriate AI and generative AI techniques within KE activities

Assess AI-generated outputs for accuracy, specificity and hallucinations

Understand privacy, regulatory, ethical and IP implications of AI use

Contribute to responsible organisational frameworks for AI adoption in KE contexts

Format & Credits

15 RTTP Credits | In-person (2 days) or Online (5 sessions)

Who Should Attend

Institutions and professionals looking to strengthen capability in Knowledge Exchange and Technology Transfer through the safe, effective and strategic use of AI.

Is this course for you?

Contact Us