Which term focuses on establishing data usage policies and aligning data with organizational goals?

• A. Data governance
• B. Data loss
• C. Training data issues
• D. Unpredictability in AI

Answer: (A)

Data governance is the process of defining who can use data, how it can be used, and how data is managed to support the organization’s objectives. It sets policies, standards, and decision rights around data, covering aspects like data quality, privacy, security, and lifecycle management, so data is usable, trustworthy, and aligned with business goals. This governance framework ensures accountability and traceability for data sources and usage, which is essential when AI systems rely on data to operate.

Data loss, on the other hand, describes the event of data being missing or destroyed and does not address how data should be managed or used. Training data issues pertain to problems with the data used to train models, such as bias or quality concerns, rather than the overarching governance structure that guides data use across the organization. Unpredictability in AI refers to the behavior of models, not the policies and controls governing data usage.