Which of the following is NOT a key component of an AI system?

An AI system fundamentally relies on several critical components to function effectively, with Data, Algorithms, and Computing Power being the primary pillars. Each of these components plays a vital role.

Data serves as the foundation for AI, as it is the raw material that the system learns from. The quality and quantity of data can greatly influence the performance and accuracy of an AI model.

Algorithms are essential in AI systems as they dictate how the data is processed and how the model learns patterns and makes decisions. They provide the methods for training, inference, and optimization of models.

Computing Power is crucial as well, as sophisticated AI models, particularly those based on deep learning, require significant computational resources to process data efficiently and to run complex algorithms effectively.

While a Machine Learning Framework can be very beneficial as it provides tools and libraries for developing AI models, it is not a fundamental component in the same way that Data, Algorithms, and Computing Power are. A framework is essentially a support structure that facilitates the use of the core components but is not indispensable for the existence of an AI system itself. Thus, it is correct to identify it as not being a key component of an AI system.