Skip to content
Search

Latest Stories

Follow Us:
Top Stories

Beware of Panic Policies

Opinion

The concept of AI hovering among the public.

Panic-driven legislation—from airline safety to AI bans—often backfires, and evidence must guide policy.

Getty Images, J Studios

"As far as human nature is concerned, with panic comes irrationality." This simple statement by Professor Steve Calandrillo and Nolan Anderson has profound implications for public policy. When panic is highest, and demand for reactive policy is greatest, that's exactly when we need our lawmakers to resist the temptation to move fast and ban things. Yet, many state legislators are ignoring this advice amid public outcries about the allegedly widespread and destructive uses of AI. Thankfully, Calandrillo and Anderson have identified a few examples of what I'll call "panic policies" that make clear that proposals forged by frenzy tend not to reflect good public policy.

Let's turn first to a proposal in November of 2001 from the American Academy of Pediatrics (AAP). For obvious reasons, airline safety was subject to immense public scrutiny at this time. AAP responded with what may sound like a good idea: require all infants to have their own seat and, by extension, their own seat belt on planes. The existing policy permitted parents to simply put their kid--so long as they were under two--on their lap. Essentially, babies flew for free.

The Federal Aviation Administration (FAA) permitted this based on a pretty simple analysis: the risks to young kids without seatbelts on planes were far less than the risks they would face if they were instead traveling by car. Put differently, if parents faced higher prices to travel by air, then they'd turn to the road as the best way to get from A to B. As we all know (perhaps with the exception of the AAP at the time), airline travel is tremendously safer than travel by car. Nevertheless, the AAP forged ahead with its proposal. In fact, it did so despite admitting that they were unsure of whether the higher risks of mortality of children under two in plane crashes were due to the lack of a seat belt or the fact that they're simply fragile.


A group of pediatricians stepped in to quash the AAP’s unfounded proposal. They reported that “even if the policy led to no increase in car travel and cost only $20 per round trip per young child, the cost per life saved would be about $4.3 million per discounted life-year.” As difficult as it may be to put a price tag on saving the life of an infant, in a world of scarce legislative attention and sparse resources, policymakers cannot avoid such analysis. Thankfully, the FAA sided with reason, resisted popular pressure, and rejected the AAP’s proposal.

Unfortunately, there’s no guarantee that reason will win out over panic policies. Following a number of tragic school bus incidents in the 1960s and 1970s, Congress faced mounting calls to insist on heightened safety regulations for school buses. The resulting proposal would have increased the cost of school buses by twenty-five percent by virtue of shoring up their safety measures. How do you think school districts would have responded?

Stick with the older buses for longer, right? Few school districts have spare funds lying around. Yet, this somewhat obvious response by districts appears to have been lost on the chief proponents of the policy.

The upshot is that policymaking that occurs in the heat of public panic is precisely when we ought to slow down, rely on evidence, and avoid enacting laws that will actually do more harm than good. It is undeniable that extensive use of AI tools has resulted in tragic outcomes for several young Americans.

How best to respond, though, is not as clear-cut as many may have you believe. It’s highly questionable that existing reports about the pros and cons of AI tools are representative of users. It’s also highly probable that proponents of bans are not adequately weighing the fact that there’s a massive shortage of psychiatrists to address the growing need among children and teens for specialized support. This is especially for children in rural and economically-insecure communities. Finally, and most importantly, it’s nearly certain that by stigmatizing the use of AI, proponents of panic policies may undermine uses of tools that have already shown their effectiveness. Not all AI is created equal. While there may be a case for limiting and even banning certain uses of certain AI tools, such policies should be grounded in evidence, not vibes.

To be clear--as someone who suffered from mental health issues as a child, I am not at all opposed to the motivations of those paying close attention to the misuse of AI. I applaud their devotion and attention to this issue. However, I’m vehemently opposed to allowing panic to distract us from adhering to good public policy. This is an emotional topic, which often makes it difficult for nuanced conversations, but the well-being of our youth demands that we rise to the occasion--leaning on research, investigation, and deliberation rather than acting on headlines and speculation.


Kevin Frazier is an AI Innovation and Law Fellow at Texas Law and author of the Appleseed AI substack.


Read More

Overbroad AI Export Controls Risk Forfeiting the AI Race
a black keyboard with a blue button on it

Overbroad AI Export Controls Risk Forfeiting the AI Race

The nation that wins the global AI race will hold decisive military and economic advantages. That’s why President Trump’s January 2025 AI Action Plan declared: “It is the policy of the United States to sustain and enhance America’s global AI dominance in order to promote human flourishing, economic competitiveness, and national security.”

However, AI global dominance does not just mean producing the best AI systems. It also means that the American “AI Stack” – the layered collection of tools, technologies, and frameworks that organizations use to build, train, deploy, and manage artificial intelligence applications – will become the international standard for this world-changing technology. As such, advancing a commonsense export policy for American AI chips will play a decisive role in determining whether the United States remains embedded at the core of global AI development or is gradually displaced by rival systems.

Keep ReadingShow less
Digital generated image of green semi transparent AI word on white circuit board visualizing smart technology.

What can the success of SEMATECH teach us about winning the AI race? Explore how a bold U.S. public-private partnership revived the semiconductor industry—and why a similar model could be key to advancing AI innovation today.

Getty Images, Andriy Onufriyenko

A Proven Playbook for AI Leadership: Lessons from America’s Chip Comeback

Imagine waking up to this paragraph in your favorite newspaper:

The willingness of the U.S. government to eschew partisanship and undertake a bold experiment -- an experiment based on cooperation as opposed to traditional procurement, and with accountability standards rooted in trust instead of elaborate regulations -- has led the U.S. to a position of preeminence in an industry which is vital to our nation's security and economic well-being.

Keep ReadingShow less
A large group of people is depicted while invisible systems actively scan and analyze individuals within the crowd

Anthropic’s lawsuit against the Trump administration over a Pentagon “supply-chain risk” label raises major constitutional questions about AI policy, corporate speech, and political retaliation.

Getty Images, Flavio Coelho

Anthropic Sues Trump Over ‘Unlawful’ AI Retaliation

Anthropic’s dispute with the Trump administration is no longer just about AI policy; it has escalated into a constitutional test of whether American companies can uphold their values against political retaliation. After the administration labeled Anthropic a “supply‑chain risk”, a designation historically reserved for foreign adversaries, and ordered federal agencies to cease using its technology, the company did not yield. Instead, Anthropic filed two lawsuits: one in the Northern District of California and another in the D.C. Circuit, each challenging different aspects of the government’s actions and calling them “unprecedented and unlawful.”

The Pentagon has now formally issued the supply‑chain risk designation, triggering immediate cancellations of federal contracts and jeopardizing “hundreds of millions of dollars” in near‑term revenue. Anthropic’s filings describe the losses as “unrecoverable,” with reputational damage compounding the financial harm. Yet even as the government blacklists the company, the Pentagon continues using Claude in classified systems because the model is deeply embedded in wartime workflows. This contradiction underscores the political nature of the designation: a tool deemed too “dangerous” to be used by federal agencies is simultaneously indispensable in active military operations.

Keep ReadingShow less
An illustration of a person standing on a giant robotic hand.

As AI transforms the labor market, the U.S. faces a familiar challenge: preparing workers for new skills. A look at a 1991 Labor Department report reveals striking parallels.

Getty Images, Andriy Onufriyenko

We’ve Been "Preparing" for the Future Since 1991—It Hasn't Worked

“Today, the demands on business and workers are different. Firms must meet world-class standards, and so must workers. Employers seek adaptability and the ability to learn and work in teams.”

Sound familiar?

Keep ReadingShow less