Building AI and Machine Learning Technologies: Data Licensing Tips and Traps

Data is the fuel for software development, and developers use historical data from existing products to train algorithms and build AI models. Companies may be well aware of privacy and regulatory restrictions on data use, but often do not consider the potential impact of data use restrictions on intellectual property ownership and use rights.

6 minute read March 01, 2022 at 12:05 AM
By
Anna Remis
Building AI and Machine Learning Technologies: Data Licensing Tips and Traps

In the race to innovate, developers must consider how data use could impact ownership of their technology. Data is the fuel for software development, and developers use historical data from existing products to train algorithms and build AI and machine learning models.

This premium content is locked for The Intellectual Property Strategist subscribers only

ENJOY UNLIMITED ACCESS TO THE SINGLE SOURCE OF OBJECTIVE LEGAL ANALYSIS, PRACTICAL INSIGHTS, AND NEWS IN The Intellectual Property Strategist

  • Stay current on the latest information, rulings, regulations, and trends
  • Includes practical, must-have information on copyrights, royalties, AI, and more
  • Tap into expert guidance from top entertainment lawyers and experts

Already have an account? Sign In Now

For enterprise-wide or corporate access, please contact Customer Service at [email protected] or call 1-877-256-2473.

NOT FOR REPRINT

© 2026 ALM Global, LLC, All Rights Reserved. Request academic re-use from www.copyright.com. All other uses, submit a request to [email protected]. For more information visit Asset & Logo Licensing.

Continue Reading

Agentic AI introduces risks that are novel and complex, but the most effective response is a familiar one. Zero Trust answers the problem of when an AI agent misfires on its own by constraining what an agent can do rather than betting on how it will behave.

July 31, 2026

The outsourcing of office and administrative services is expected to grow 50%-60% in the next five years. Contrary to what decision-makers think, and what the service providers hope you think, the biggest risk in outsourcing isn't choosing the wrong provider. It's outsourcing the wrong process, under the wrong model, with the wrong performance measures and contract terms.

July 31, 2026