Evaluators and auditors are the key actors responsible for TEVV tasks across the AI lifecycle. These tasks include validating the assumptions made during system design, ongoing monitoring of the AI system once deployed, managing incidents or errors, and ensuring the system’s continuous adherence to technical, legal, and ethical standards.

A is incorrect as data scientists and domain experts mainly contribute during the AI Design phase, where their role is centered around gathering, cleaning, and preparing data. While important, their tasks do not typically include ongoing system monitoring or validation of design assumptions.

B is incorrect because machine learning experts and developers are principally involved in the AI Development phase. Their focus is on the creation, training, and testing of AI models. While these roles are crucial, they do not encompass the ongoing monitoring and validation tasks described.

C is incorrect as system integrators and software developers are primarily active during the AI Deployment phase. Their role involves integrating the AI system into its operational environment and ensuring compatibility with existing systems, which is distinct from the ongoing monitoring and validation responsibilities.

Things to Remember

• AI Lifecycle: The AI lifecycle consists of phases such as Design, Development, Deployment, and Monitoring. Each phase involves different actors and tasks.
• TEVV: Testing, Evaluation, Validation, and Verification (TEVV) are crucial tasks in the AI lifecycle.