{"id":179256,"date":"2025-01-15T20:13:50","date_gmt":"2025-01-15T19:13:50","guid":{"rendered":"https:\/\/glosarix.com\/glossary\/ai-governance-en\/"},"modified":"2025-03-08T00:12:18","modified_gmt":"2025-03-07T23:12:18","slug":"ai-governance-en","status":"publish","type":"glossary","link":"https:\/\/glosarix.com\/en\/glossary\/ai-governance-en\/","title":{"rendered":"AI Governance"},"content":{"rendered":"<p>Description: AI governance refers to the framework and policies that guide the development and use of AI technologies. This concept encompasses a set of ethical principles, regulations, and practices aimed at ensuring that AI is developed and used responsibly and fairly. AI governance focuses on the need to mitigate risks associated with bias, privacy, transparency, and accountability in AI systems. As AI becomes integrated into various aspects of daily life, from healthcare to criminal justice, it is crucial to establish guidelines that protect individuals and society as a whole. AI governance involves not only the creation of laws and regulations but also the promotion of an ethical culture in research and technological development. This includes the participation of multiple stakeholders, such as governments, businesses, academics, and civil society, to ensure that decisions about AI reflect a diversity of perspectives and values. In summary, AI governance is an essential component to ensure that technological advancement benefits everyone while minimizing the risks and challenges posed by this powerful tool.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Description: AI governance refers to the framework and policies that guide the development and use of AI technologies. This concept encompasses a set of ethical principles, regulations, and practices aimed at ensuring that AI is developed and used responsibly and fairly. AI governance focuses on the need to mitigate risks associated with bias, privacy, transparency, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"glossary-categories":[12192],"glossary-tags":[13148],"glossary-languages":[],"class_list":["post-179256","glossary","type-glossary","status-publish","hentry","glossary-categories-ethics-and-bias-in-ai-en","glossary-tags-ethics-and-bias-in-ai-en"],"post_title":"AI Governance ","post_content":"Description: AI governance refers to the framework and policies that guide the development and use of AI technologies. This concept encompasses a set of ethical principles, regulations, and practices aimed at ensuring that AI is developed and used responsibly and fairly. AI governance focuses on the need to mitigate risks associated with bias, privacy, transparency, and accountability in AI systems. As AI becomes integrated into various aspects of daily life, from healthcare to criminal justice, it is crucial to establish guidelines that protect individuals and society as a whole. AI governance involves not only the creation of laws and regulations but also the promotion of an ethical culture in research and technological development. This includes the participation of multiple stakeholders, such as governments, businesses, academics, and civil society, to ensure that decisions about AI reflect a diversity of perspectives and values. 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