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.
About
Esperance Becton is an associate in the Corporate Practice Group in the firm’s Washington, D.C. office and a member of the Healthcare Industry team.
Latest Post
More Posts
Navigating the Complex Landscape of AI Governance: Principles and Frameworks for Responsible Innovation
Key Elements of an AI Governance Program in Healthcare
Key Elements of an AI Governance Program in Healthcare
Building a Robust AI Governance Program in Healthcare
The PACE Solution to Increasing Demands for Long-Term Services and Supports in the U.S.
State Privacy Law Roundup: What Health Care Companies Need to Know
Telehealth in a Post-PHE World
About
Esperance Becton is an associate in the Corporate Practice Group in the firm’s Washington, D.C. office and a member of the Healthcare Industry team.