Which of the following is NOT one of the three AI governance models?

The governance models in the context of artificial intelligence typically encompass frameworks that guide the development, deployment, and oversight of AI systems. Centralized governance refers to a single authoritative body making decisions and setting policies related to AI usage. De-centralized governance involves multiple entities making decisions independently, which can lead to varied approaches based on local or organizational contexts. Federated governance, often described as a hybrid model, combines elements of both centralized and decentralized approaches, allowing for collaborative governance while maintaining some degree of independent oversight.

The choice of "Optimized" is not recognized as a formal AI governance model, which makes it the outlier among the options provided. It lacks the foundational structure and recognized principles that define actual governance frameworks in AI. While "optimized" may refer to efforts to enhance performance or effectiveness in the context of AI, such as improving algorithms or procedures, it does not serve as a governance model intended to oversee compliance, risk management, or ethical considerations in AI deployment. Thus, identifying it as the incorrect option aligns with the understanding of established AI governance frameworks.