What type of AI typically requires significant human intervention to create?

Generative AI is the type of artificial intelligence that typically requires significant human intervention to create. This type of AI involves models that can create new content, such as text, images, or music, based on the data they were trained on. Because of the complexity and creativity involved in generating new information, human input is crucial during the development phase, particularly in curating data sets, setting parameters, and fine-tuning models to achieve desired results.

The need for human intervention arises not only to help shape the training data but also to ensure that the outputs generated align with ethical standards and are contextually appropriate. For instance, creating a generative AI model involves multiple iterations of testing and modification, which benefits considerably from human oversight.

In contrast, other types of AI such as reactive AI operate based on predefined rules and responses, requiring minimal human input once they are programmed. Traditional AI usually consists of rule-based systems that follow set algorithms without needing further intervention. Descriptive AI focuses on analyzing and summarizing data rather than generating new content, so it also demands less human creativity and engagement during its operation.