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U.S. Chamber Releases Artificial Intelligence Principles


U.S. Chamber Releases Artificial Intelligence Principles

Randy Gosda

WASHINGTON, D.C. — On September 23, 2019, The U.S. Chamber’s Technology Engagement Center (C_TEC) and Center for Global Regulatory Cooperation (GRC) released 10 policy principles governing the use and regulation of artificial intelligence (AI).

The principles were crafted in collaboration with more than 50 of the Chamber’s member companies, representing all sizes and sectors of the American business community, and emphasize the need for a sensible and innovation-forward approach to address both the challenges and opportunities of AI.


“The advent of artificial intelligence will revolutionize businesses of all sizes and industries and has the potential to bring significant opportunities and challenges to the way Americans live and work, said Tim Day, Senior Vice President, Chamber Technology Engagement Center. “The U.S. Chamber’s artificial intelligence principles place the Chamber at the forefront of the national conversations on AI and will serve as a comprehensive guide to address the policy issues pertaining to AI for federal, state, and local policymakers.”

The Chamber also endorsed the Organization for Economic Co-operation and Development’s recommendations on AI. Drafted with leadership from the United States and adopted by over 40 partner countries, the recommendations are a flexible governance standard that promotes the responsible stewardship of trustworthy AI.

“As leaders in the development and use of AI, the U.S. business community has a strong interest in supporting a global AI ecosystem,” said Sean Heather, Senior Vice President of International Regulatory Affairs, U.S. Chamber of Commerce. “Foreign capitals are looking to promote trustworthy AI, without undermining innovation. We encourage them to turn to the Chamber as a partner and to our principles for guidance.”

The U.S. Chamber will continue to work with U.S. legislators and regulators to ensure America leads the way in developing and deploying artificial intelligence.

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