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This article explores the ethical considerations of Artificial Intelligence from an information management perspective. It discusses key principles including transparency, fairness, accountability, privacy, and explainability, highlighting the role of records and information professionals in supporting responsible and trustworthy AI governance.

This article explores the importance of data governance, privacy, and transparency in the ethical use of Artificial Intelligence. It examines how strong information governance supports responsible AI, manages bias and privacy risks, and ensures accountability while enabling organisations to harness AI safely and effectively.

This article explores practical approaches to implementing ethical Artificial Intelligence within organisations. It covers AI governance, risk assessment, human oversight, transparency, accountability, and ethical decision-making, providing guidance for developing and managing AI systems that are fair, compliant, and trustworthy.

This article examines the governance frameworks needed to implement ethical Artificial Intelligence responsibly. It explores AI risk assessment, data governance, Indigenous data considerations, privacy, transparency, and accountability, providing practical guidance for evaluating and managing AI systems in an ethical and compliant way.