AI Ethics

AI ethics examines the moral consequences of AI systems. It addresses algorithmic bias and establishes accountability for decisions and impacts.

Japanese terms

1. AI ethics — AI倫理りんり: The study and practice of addressing moral issues arising from AI design, deployment, and use.
2. Algorithmic bias — アルゴリズム偏かたより: Systematic and unfair differences in algorithmic outcomes affecting people or groups.
3. Accountability — 説明責任せつめいせきにん: Responsibility for decisions, impacts, oversight, and remedies associated with an AI system.

Related topics

AI safety and evaluation measures technical risks, while AI regulation and policy translates social priorities into institutions and rules.