Assessing benefits and requirements for AI implementation is best described by which term?

• A. AI Governance
• B. ROI analysis in AI
• C. KPIs
• D. Responsible AI practices

Answer: (A)

The framework that guides how AI initiatives are planned, approved, and overseen is AI governance. This area sets the structure for evaluating what benefits an AI project might deliver, what resources and data are required, what risks and regulatory considerations must be managed, and who is accountable for outcomes. It ensures that decisions about pursuing AI align with organizational strategy, policies, and risk appetite, while providing oversight and controls throughout the project lifecycle.

ROI analysis looks mainly at financial returns and costs, which is just one part of the picture and doesn’t establish the broader governance framework or address data quality, ethics, or compliance. KPIs are metrics used to gauge performance after implementation, not the initial assessment of benefits and requirements. Responsible AI practices focus on ethical and responsible use, which are important components but are part of the broader governance structure that encompasses strategy, risk, and control for AI initiatives.