Definition ∞ Model Ownership refers to the legal or verifiable claim of proprietorship over a machine learning model, including its architecture, training data, and learned parameters. This concept addresses the intellectual property rights associated with AI models, particularly concerning their creation, deployment, and commercialization. Establishing clear ownership is essential for licensing, preventing unauthorized use, and attributing responsibility for a model’s outputs. It safeguards the investment and innovation involved in AI development.
Context ∞ The discussion around model ownership is a growing area of legal and technical discourse, especially as AI models become increasingly valuable assets in various industries, including finance. Its situation involves developing mechanisms to assert and verify ownership in a transparent and immutable manner, potentially leveraging blockchain technology. A critical future development includes establishing clear legal precedents and technical standards for AI model intellectual property. News often reports on legal cases involving AI copyright or new platforms for secure model management.