What regulatory compliance issues do AI systems face?

• A. Strict transparency and bias laws, such as the EU Artificial Intelligence Act
• B. No regulatory requirements
• C. Only financial reporting requirements
• D. Industry-specific IP considerations

Answer: (A)

Regulatory compliance for AI centers on how these systems reveal their decisions and how fair and safe they are in practice. The best answer points to strict transparency and bias rules, with the EU Artificial Intelligence Act as a concrete example. This act uses a risk-based framework to require transparency for many AI systems, introduce human oversight for high-risk deployments, enforce data governance to reduce bias, and mandate conformity assessments and ongoing monitoring before and after deployment. In real terms, AI systems must be auditable, can be explainable to an appropriate degree for the use case, and are built with bias mitigation and accountability in mind. Other options underestimate the regulatory landscape, which also includes privacy, anti-discrimination, and sector-specific safety or consumer-protection rules.