What is the primary purpose of data governance in AI safety and economics?

• A. To ensure privacy, consent, and fairness; reduces leakage and aligns data use with safety standards.
• B. To maximize data collection without consent.
• C. To complicate data access for all users.
• D. To eliminate data sharing entirely.

Answer: (A)

Data governance in AI safety and economics is about creating structure around how data is collected, stored, accessed, and used, with safeguards that reflect safety and fairness priorities. The primary purpose is to protect privacy and obtain proper consent, ensure fairness, and align data handling with established safety standards. By setting rules for data quality, provenance, access controls, anonymization, retention, and auditing, governance helps prevent data leakage and misuse and makes data-driven decisions more trustworthy. This framework also supports accountability and regulatory compliance, which are essential for responsible AI systems and reliable economic analysis. Choices that push for maximal data collection without consent, or that make access unnecessarily hard, or that eliminate data sharing, miss the fundamental aim of governance: enabling safe, ethical, and effective use of data.