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Wes Moore Forms Bipartisan Governors Group on AI, Citing Federal Inaction
Moore says states must act as federal leaders lag, as governors in five states have issued AI-related executive orders or other steps in the past month.
- Maryland Gov. Wes Moore is leading a bipartisan National Governors Association effort to develop an artificial intelligence framework, arguing states must fill the void left by federal inaction.
- While Washington remains slow, governors in Maryland, California, Illinois, Oregon, and Virginia have issued executive orders in the past month to set standards for the rapidly evolving technology.
- In an interview, Moore, a Democrat, criticized President Donald Trump's White House meeting with technology executives this week as a "billionaire boys club," questioning who advocated for regulatory guardrails.
- President Donald Trump and technology leaders signed a voluntary accord this week that he called "morally binding," though Moore contended the governors' regulatory efforts remain necessary.
- The debate over artificial intelligence may influence the upcoming presidential campaign, as Congress struggles to reach legislative consensus despite investigations by Sen. Josh Hawley, R-Mo., and briefings hosted by Sen. Bernie Sanders, I-Vt.
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27 Articles
27 Articles
Governors form AI coalition, citing federal inaction
Maryland Gov. Wes Moore touted a bipartisan, governor-led coalition on artificial intelligence, saying at Thursday's Maryland Innovation Summit that the group is filling a policy void left by federal inaction.
·Washington, United States
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Citing a Vacuum, Governors Plan Bipartisan Push on AI
More governors are saying that if the federal government won't move on artificial intelligence, the states will, the Independent reports. Maryland Gov. Wes Moore plans to assemble a bipartisan coalition of governors to craft shared AI rules, arguing that Congress and the White House are laying far beyond the technology's...
·Miami, United States
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Coverage Details
Total News Sources27
Leaning Left10Leaning Right1Center10Last UpdatedBias Distribution48% Left, 47% Center
Bias Distribution
- 48% of the sources lean Left, 47% of the sources are Center
48% Left
L 48%
C 47%
Factuality
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