The framework of policies, processes, and controls that ensure AI systems are developed and used responsibly. AI governance covers ethics, bias, privacy, security, and regulatory compliance.
The European Union's comprehensive regulation on artificial intelligence, establishing requirements based on risk levels. High-risk AI systems face strict requirements for transparency, human oversight, and conformity assessment.
Systematic errors in AI systems that create unfair outcomes for certain groups. Bias can originate from training data, algorithm design, or deployment context. Identifying and mitigating bias is critical for responsible AI.
AI概念があなたの課題にどのように適用されるかを話し合う相談を予約してください。