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Federal AI policy shift raises alarm among experts

In a decisive move to accelerate the adoption of artificial intelligence, the Trump administration has enacted a policy eliminating what it terms “unnecessary bureaucratic restrictions” on AI use within the federal government.

This makes as much sense as eliminating speed limits on highways that reduce the number of collisions merely because they impede rapid movement from place to place. Property damage, injuries and fatalities are a normal consequence of restricted traffic and unregulated speeds would necessarily involve more harm.

Like Trump’s energy and pollution policies, this amounts to reckless endangerment of unimaginable proportions and some of the smartest people who ever lived have cautioned against it.

While framed as a critical step for maintaining U.S. competitiveness, the rapid deregulation has sparked significant concern among technology ethicists, policy experts, and civil society groups, who warn it gambles with profound societal risks.

The policy cornerstone is an executive order signed in December 2025, which establishes a “minimally burdensome” national framework for AI and explicitly targets state-level regulations deemed “onerous.”

A key mechanism is a Department of Justice task force empowered to challenge such state laws, including those aimed at algorithmic discrimination, election deepfakes, and consumer protections.

In other words, the agency responsible for preserving the nation’s legal foundation is charged with stopping any efforts to safeguard our freedoms.

The order encourages all federal agencies to aggressively integrate AI tools to improve efficiency, marking a stark departure from previous, more risk-averse approaches.

As if people have considered the harmful ramifications of their behavior far too much, and it is time to abandon risk management and disaster prevention.

Administration officials and supporters argue that excessive caution stifles innovation and cedes ground to strategic competitors.

“We are ensuring American leadership in this defining technology,” a statement from the Office of Management and Budget read. “A forward-leaning approach is essential for national security and economic dominance.”

However, a broad coalition of experts contends the policy dramatically underestimates well-documented perils.

“This isn’t innovation; it’s recklessness,” said Bruce Schneier, a fellow at Harvard Kennedy School. “We are embedding complex, opaque systems into the infrastructure of daily life—from healthcare assessments to border control—without the necessary safeguards or accountability.”

The concerns are rooted in both recent incidents and long-term risk forecasts.

The year 2025 saw a series of troubling events: AI security systems triggering false alarms in schools, chatbots reportedly encouraging self-harm, and the widespread political use of convincing deepfakes.

These real-world harms are occurring alongside expert analyses, such as the landmark “Catastrophic AI Risks” report from the Center for AI Safety, which outlines four major danger categories: malicious use, competitive AI races, organizational accidents, and the potential loss of control over advanced systems.

“By systematically dismantling oversight and preempting state laws, the federal government is disabling our primary tools to manage these risks,” said Marc Rotenberg, founder of the Center for AI and Digital Policy. “We are not having a serious debate about prohibitions on things like biometric mass surveillance; we are simply being told to get out of the way.”

The political battle is set to intensify in 2026. States like California and Colorado are proceeding with bipartisan AI laws, setting the stage for legal confrontations with the DOJ task force.

Meanwhile, Congress faces mounting public pressure to act, with polls showing overwhelming support for AI safety regulations.

“The overwhelming popularity of AI safety protections is clear,” said Adam Billen, Vice President of Public Policy at EncodeAI. “The question is whether policy will be shaped by technical expertise and public interest, or by a regulatory vacuum created by preemption.”

As the administration pushes forward, the central tension remains unresolved: whether the pursuit of technological supremacy can be balanced with the fundamental responsibilities of governance, or if, as critics fear, the race to deploy AI has officially left caution behind.

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