Which term best describes subject matter experts who oversee the datasets used to train an AI model?

• A. Data stewards/owners
• B. Privacy experts
• C. AI ethicists
• D. Data engineers and scientists

Answer: (A)

Data stewardship and ownership is the role that best fits overseeing the datasets used to train an AI model. Data stewards or data owners are responsible for the governance of the data: ensuring quality, consistency, and relevance to the domain; defining and maintaining data definitions, standards, and metadata; and managing access, licensing, and policy compliance. They track data provenance and lineage so you know where data came from and how it’s been transformed, which is essential for trustworthy training. They also oversee labeling practices and annotation quality, aligning them with domain requirements and privacy or usage policies. This governance and domain-knowledge oversight is exactly what keeps training data reliable and appropriate for the model.

Privacy experts handle protecting personal information and regulatory compliance; AI ethicists analyze broader ethical implications of AI; data engineers and scientists focus on building data pipelines and the modeling work itself.