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ARTICLE · 06 SEPTEMBER 2024

Navigating The Complex Landscape Of AI Governance: Principles And Frameworks For Responsible Innovation

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In an era where artificial intelligence (AI) is reshaping landscapes in the healthcare industry and beyond, understanding the governance of AI technologies is paramount for organizations seeking to utilize AI systems and tools.

United StatesTechnology
CJ Rundell
CJ Rundell
Esperance Becton
Esperance Becton
Lotan Barbaresso
Lotan Barbaresso
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In an era where artificial intelligence (AI) is reshaping landscapes in the healthcare industry and beyond, understanding the governance of AI technologies is paramount for organizations seeking to utilize AI systems and tools. AI governance encompasses the policies, practices, and frameworks that guide the responsible development, deployment, and operation of AI systems and tools within an organization. By adhering to established governance principles and frameworks, organizations can ensure their AI initiatives align with ethical standards and applicable law, respect human rights, and contribute positively to society. Various international organizations have set forth AI governance principles that provide organizations with a solid foundation to develop organizational AI governance based on widely shared values and goals.

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