Artificial intelligence (AI) governance refers to the frameworks, rules, and standards that ensure AI tools and systems remain safe, ethical, and aligned with human rights. It directs AI research, development, and application to promote safety, fairness, and respect for human rights.
AI governance includes oversight mechanisms to address risks like bias, privacy infringement, and misuse while fostering innovation and trust. An ethical AI approach requires input from diverse stakeholders, including AI developers, users, policymakers, and ethicists, ensuring AI systems align with societal values.
Since AI is created by humans, it is prone to human biases and errors. AI governance provides a structured approach to mitigate these risks by monitoring, evaluating, and updating machine learning algorithms to prevent flawed or harmful decisions.
Responsible and ethical AI development and use involve addressing risks like bias, discrimination, and harm. Governance tackles these issues through sound AI policies, regulation, data governance, and well-maintained datasets. It aims to align AI behaviors with ethical standards and societal expectations, safeguarding against potential adverse impacts.