Episode 114 - GluuFederation/identerati-office-hours GitHub Wiki
Title: Digital Rights in the Age of AI Agents
- Host: Mike Schwartz, Founder/CEO Gluu
- Guest: Joshua Cornejo, Enterprise Knowledge Graph Consultant agnos.ai
Channels
Description
The Open Digital Rights Language plays a crucial role in managing digital rights, permissions, and restrictions not only for AI-generated content but to reign the consumption of human-created content by AI Agents. As vast amounts of data are produced by humans, machines and AI solutions, ODRL provides a structured framework to define policies for usage, licensing, and access control. It enables transparency, compliance with regulations, and automated enforcement of intellectual property rights. Integrating ODRL with AI governance ensures ethical, secure, and fair data utilization in an increasingly AI-driven world.
Homework
Takeaways
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⚡ W3C ODRL is a flushed out schema and policy framework for digital assets. It defines the asset metadata that enables the creation of complex policies. Failure by data aggregators to comply with ODRL obligations can result in millions of dollars in risk, due to audit and fines. Assured compliance with ODRL would greatly reduce enterprise risk.
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⚡ ODRL templates are needed to standardize certain asset sharing relationships. For example, a photographer sharing a photo with a media distributor--this should be boilerplate.
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⚡ Policies in ODRL are about assets, and the purpopes for which that asset can be used. There are policies about how different people (or organizations) can use that asset--for example, the owner of the asset has rights, the manager (or custodian) of that asset has rights, and third party auditors may have rights.
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⚡ Rather then access control (it's too late, you already have the asset!), ODRL is about purpose control--what can you do with it.