In the AI Development phase, the primary focus is on building the AI system. This involves tasks such as creating and refining AI models, selecting appropriate algorithms, training these models with data, and testing them for accuracy and reliability. The key actors in this phase are those with expertise in machine learning, software development, and related fields, who are responsible for the technical aspects of developing the AI system.

A is incorrect because operating the AI system and assessing its output and impacts are tasks typically associated with the Operation and Monitoring phase of the AI lifecycle. The actors involved in this phase, such as system operators and compliance experts, are responsible for ensuring that the AI system functions correctly and adheres to regulatory and ethical standards once it is deployed.

C is incorrect as piloting the AI system, ensuring compatibility with existing systems, and evaluating user experience are part of the AI Deployment phase. In this phase, system integrators and software developers play a crucial role in integrating the AI system into its operational environment and ensuring it works well within that context.

D is incorrect because data collection and processing tasks, ensuring the AI system's fitness for purpose, are typically part of the AI Design phase. In this phase, data scientists and human factors experts work on conceptualizing the AI system, planning its design, and preparing the data that will be used to train and inform the AI models.

Things to Remember

• AI Development phase focuses on building the AI system by creating, selecting, calibrating, training, and testing AI models or algorithms.