Trump's Federal Guidelines for AI May Turbocharge Climate Denial and Racist Bias
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Trump's Federal Guidelines for AI May Turbocharge Climate Denial and Racist Bias
"Picture this: You ask an AI to show you images of judges, and it depicts only 3 percent as women - even though 34 percent of federal judges are women. Or imagine an AI that's more likely to recommend harsh criminal sentences for people who use expressions rooted in Black vernacular cultures. Now imagine that same AI instructed to ignore climate impacts or treating Russian propaganda as credible information."
"This isn't science fiction. The bias problems are happening right now with existing AI systems. And under President Trump's new artificial intelligence policies, all these problems could get much worse - while potentially handing the U.S.'s tech leadership to China. The Trump administration's AI Action Plan, released alongside executive orders on July 23, 2025, doesn't just strip federal AI guidelines of bias protections."
"The administration demands that AI models used by the federal government be "objective and free from top-down ideological bias." But there's a catch: This standard comes from an administration whose leader made over 30,573 documented false statements during his first term, according to Washington Post fact-checkers. The result could be AI systems that ignore climate science, amplify misinformation, and become so unreliable that global customers choose Chinese alternatives instead."
AIs can produce gender, racial, and informational biases: for example, depicting judges as only 3 percent women despite 34 percent being female, recommending harsher sentences for speakers using Black vernacular, ignoring climate impacts, or treating Russian propaganda as credible. The Trump administration's AI Action Plan removes references to diversity, climate science, and misinformation from the National AI Risk Assessment and rescinds federal bias protections. The administration demands AI systems be "objective and free from top-down ideological bias," a standard that could permit ignoring climate science, amplifying misinformation, embedding bias into hiring and criminal justice tools, and ceding global market trust to Chinese alternatives.
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