Developing a Strategy to Protect and Monetize AI and Agents in the Digital Economy

• 1 Differentiate AI system types and agent components including training set, policy, reward, state, and actions
• 2 Identify patentable aspects of reinforcement learning such as novel reward schemes and policy design
• 3 Compare permissive, copyleft, source-available, and service-restricted licensing models and tradeoffs
• 4 Craft data licensing and protection plans addressing rights, metadata, attribution, monitoring, and privacy

Based on transcript analysis and 18 reviews