Organizations of all sizes and sectors need to be aware of the unique considerations related to licensing of data for machine learning in the context of technological advancement and increased regulation.

The 60-minute webinar Data Licensing for AI is produced by  and explores the complexities of data licensing and artificial intelligence, focusing on managing risks and adhering to regulations when utilizing third-party data for machine learning. It highlights the Montreal data license framework, collaborative innovation, and the legal aspects of AI licensing agreements. A model for licensing was uniquely developed by presenters for this session.

The discussion addresses challenges related to intellectual property protection, compliance with national laws, and evolving AI impact assessments, emphasizing the need for clear frameworks and stakeholder involvement in risk management and development processes. You will also hear about how organizations should approach data management and governance to support such licensing opportunities.  
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Key questions addressed in the webinar include:

• What is the Montreal Data Licence framework and what was the rationale for developing it?

• What are the benefits associated with a standardized licensing model and in particular the Montreal Data Licence framework?

• What are the key considerations related to licensing and using third-party data for machine learning?

• Why is it important for organizations to engage legal expertise early for IP protection?

• What are the implications of using health data and the challenges related to compliance with national legislations?

• How can organizations enhance clarity and understanding in licensing agreements?

• What are some of the considerations for licensing models and data usage?