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U.S. Chamber of Commerce (16)

Topics and Issues

Artificial Intelligence (77)

In 2023, the U.S. Chamber issued a Report and Recommendations from its Commission on Artificial Intelligence Competitiveness, Inclusion, and Innovation. There is also a framing letter to the Commission.

The report, which also includes a framework for definitions, established five pillars for regulation:

Efficiency. Policymakers must evaluate the applicability of existing laws and regulations. Appropriate enforcement of existing laws and regulations provides regulatory certainty and guidance to stakeholders and would help inform policymakers in developing future laws and regulations. Moreover, lawmakers should focus on filling gaps in existing regulations to accommodate new challenges created by AI usage.

Neutrality. Laws should be technology-neutral and focus on applications and outcomes of AI, not the technologies themselves. Laws regarding AI should be created only as necessary to fill gaps in existing law, protect citizens’ rights, and foster public trust. Rather than trying to develop a one-size-fits-all regulatory framework, this approach to AI regulation allows for the development of flexible, industry-specific guidance and best practices.

Proportionality. When policymakers determine that existing laws have gaps, they should attempt to adopt a risk-based approach to AI regulation. This model ensures a balanced and proportionate approach to creating an overall regulatory framework for AI.

Collegiality. Federal interagency collaboration is vital to developing cohesive regulation of AI across the government. AI use is cross-cutting, complex, and rapidly changing and will require a strategic and coordinated approach among agencies. Therefore, the government will need to draw on expertise from the different agencies, thus allowing sector and agency experts the ability to narrow in on the most important emerging issues in their respective areas.

Flexibility. Laws and regulations should encourage private sector approaches to risk assessment and innovation. Policymakers should encourage soft law and best practice approaches developed collaboratively by the private sector, technical experts, civil society, and the government. Such nonbinding, self-regulatory approaches provide the flexibility of keeping up with rapidly changing technology as opposed to laws that risk becoming outdated quickly.