Skip to content
Search

Latest Stories

Top Stories

Congress Must Lead On AI While It Still Can

Opinion

Congress Must Lead On AI While It Still Can
a computer chip with the letter a on top of it
Photo by Igor Omilaev on Unsplash

Last month, Matthew and Maria Raine testified before Congress, describing how their 16-year-old son confided suicidal thoughts to AI chatbots, only to be met with validation, encouragement, and even help drafting a suicide note. The Raines are among multiple families who have recently filed lawsuits alleging that AI chatbots were responsible for their children’s suicides. Their deaths, now at the center of lawsuits against AI companies, underscore a similar argument playing out in federal courts: artificial intelligence is no longer an abstraction of the future; it is already shaping life and death.

And these teens are not outliers. According to Common Sense Media, a nonprofit dedicated to improving the lives of kids and families, 72 percent of teenagers report using AI companions, often relying on them for emotional support. This dependence is developing far ahead of any emerging national safety standard.


Notwithstanding the urgency, Congress has responded with paralysis, punctuated only by periodic attempts to stop others from acting. Senate Commerce Chair Ted Cruz insists that a ten-year federal moratorium blocking states and cities from passing their own AI laws is “not at all dead,” despite bipartisan opposition that kept it out of the summer budget bill. He has now doubled down with the SANDBOX Act, which would let AI companies sidestep existing protections by certifying the safety of their own systems and winning renewable waivers from agency oversight. Meanwhile, the Trump administration’s “AI Action Plan” rolls back Biden-era safety standards, threatens states with punishment for regulating, and promises to “unleash innovation” by removing so-called red tape.

This reflects a familiar but flawed assumption: that innovation and safety are fundamentally at odds, and that America must choose between technological leadership and responsible oversight. The idea that deregulation is the path to leadership fundamentally misunderstands American history—not to mention the law.

Far from stifling growth, regulations have turned legal uncertainty into public confidence, and confidence into robust industries. The railroad industry did not flourish because the government stayed out of the way. It flourished because congressionally mandated standards, such as block signaling and uniform track gauges, restored public trust after deadly collisions. The result reshaped America’s conception of itself, and railroads became the sinews of American economic dominance. Similarly, aviation did not become central to American power until Congress established the Federal Aviation Administration to regulate safety, unify air traffic control, and manage the national airspace system. Pharmaceuticals did not become a global industry until drug safety regulations gave consumers confidence in the products they were prescribed.

When Congress stalls, power moves elsewhere. Already, courts are left to improvise on fundamental questions such as whether AI companies bear liability when chatbots encourage suicide, whether training on copyrighted works is theft or fair use, and whether automated hiring systems violate civil rights laws. Federal judges are making rules without guidance. If this continues, the result will be a patchwork of contradictory precedents that destabilize both markets and public trust.

The internet age serves as a cautionary tale: when Congress chose “light-touch” regulation in the 1990s, courts issued contradictory rulings, forcing lawmakers to scramble. Their fix—Section 230 of the Communications Decency Act, the “twenty-six words that created the internet”—prevented courts from holding platforms liable and, over time, was interpreted so broadly by some courts that even its co-author noted the law had become misunderstood as a free pass for illegal behavior.

In addition to courts, state legislatures are filling this vacuum. About a dozen or so bills have been introduced in states across the country to regulate AI chatbots. Illinois and Utah have banned AI therapy (bots that provide therapy services), and California has two bills winding their way through the state legislature that would mandate safeguards. But piecemeal lawsuits and a smattering of state laws are not enough. Americans need and deserve more fundamental protections.

Congress should empower a dedicated commission to set enforceable safety standards, establish the scope of legal liability for developers, and mandate transparency for high-risk applications. Courts are built to remedy past harms; Congress is built to prevent future ones by creating agencies with the technical expertise to set safety standards on highly complex and evolving technologies before disasters strike.

Bipartisan momentum around federal coordination is already growing. Senators Elizabeth Warren and Lindsey Graham have introduced legislation to create a new Digital Consumer Protection Commission with authority over tech platforms. Representatives Ted Lieu, Anna Eshoo, and Ken Buck have proposed a 20-member national AI commission to develop regulatory frameworks. Senators Richard Blumenthal and Josh Hawley announced a bipartisan framework calling for independent oversight of AI. Even senators who hold views as varied as Gary Peters and Thom Tillis agree on the need for federal AI governance standards. When progressive Democrats and conservative Republicans find common ground on AI regulation, the time is ripe for action.

To be clear, this is not about choking innovation. It is about ensuring AI does not collapse under the weight of public backlash, market confusion, and preventable harms. Regulation is what stabilizes innovation. America doesn’t lead the world by racing recklessly ahead. We lead when we set the rules of the road: rules that give innovators clarity, give the public confidence, and give democracy control over technologies that already touch life and death.

The parents who testified before Congress are right: their children’s deaths were avoidable. The question is whether lawmakers will act now to prevent more avoidable tragedies, or whether they will continue to abdicate their constitutional responsibility, leaving courts, corporations, and grieving families to pick up the pieces.

Aya Saed is an attorney and a leading voice in responsible AI legislation and the former counsel and legislative director for U.S. Representative Alexandria Ocasio-Cortez. She is the director of AI policy and strategy at Scope3 and the policy co-chair for the Green Software Foundation. She is a Public Voices Fellow with The OpEd Project in Partnership with the PD Soros Fellowship for New Americans.


Read More

 Vintage Computer with AI Text on Screen and Neon Lighting, figures of people standing around it.

Calling AI “super” makes it sound omniscient. A faith leader coalition explains why the word “artificial” matters and what to do instead.

Royalty-free/Getty Images

Reject the Sand God. Call AI by Its True Name

President Trump recently signed an executive order telling federal agencies to replace the term "artificial intelligence" with "Super Intelligence." He said the word "artificial" makes the technology sound fake.

Many Americans already treat AI as a “super intelligence” that knows better and that they should confide in. Many already assign it the role of spiritual counsel, close confidante, or even romantic partner. In a Common Sense Media survey, one-third of teenagers claimed they had discussed serious personal matters with an AI instead of a person, and 31 percent said talking with an AI companion was as satisfying as talking with friends, or even more so. Bible Chat, an app that offers scripture-based advice and prayers, has been downloaded more than 30 million times.

Keep ReadingShow less
news video camera
black video camera
Photo by Matt C on Unsplash

When the Cameras Went Dark: What a Press Ban Reveals About American Journalism

When I came to the United States from India in 1982, I did not trust newspapers. Back home, everyone knew which party a paper favored before reading a line. American television felt different. My family watched Peter Jennings every evening, and later I found Larry King on CNN, who let his guests talk instead of telling viewers what to think. That habit of holding everyone to one standard has mostly faded.

On Sept. 18, President Trump announced he was banning CNN, MS NOW and Politico from the White House, saying their reporting was fake news. The next morning the Secret Service took reporters’ badges at the gate. The outlets sued on Monday, and Fox, ABC, NBC and CBS declined to take CNN’s turn in the television pool. On Sept. 24, Judge Timothy Kelly, whom Trump appointed, blocked the ban for 14 days. He found the outlets likely to win on due process, because reporters got no notice and no chance to respond, and he doubted the government’s national security explanation. Trump’s answer was to call the judge “totally disloyal.”

Keep ReadingShow less
Woman sitting and typing on laptop on her lap.

AI chatbots are always guessing, even when they sound sure. Experts and Claude itself explain the AI trust gap, bias and why to check sources.

Oscar Wong/Getty Images

AI’s Information Crisis: Why Trust Is Harder to Sustain Than Ever

In all the debates about human and machine intelligence, one thing has become clear: We humans love to talk about AI. We’ve speculated whether AI will create or eliminate jobs, revolutionize or destroy science, comfort or torment us, entertain us brilliantly or rot our brains, or some combination of all these things. But amid the noise, we may have paid too little attention to a subtler impact: how AI is disrupting our relationship to information and making it harder to know what to believe.

The problem isn’t just deepfakes, the malicious manipulation of images, video, and audio. Even benign, well-intentioned AI applications can be profoundly misleading. The nature of the large language models that power chatbots means that they are always guessing, however confident they seem. How can we use AI to produce reliable information that improves public discourse rather than distorting it?

Keep ReadingShow less
Digital illustration of robot's hand holding and supporting man who is working on his desk using computer, represent themes of artificial intelligence (AI), the future of work, and the intersection of humanity and technology.

Universal basic income would cost trillions. Wage insurance, a bigger child tax credit, and a tax break for work could help workers left behind by AI at a fraction of the price.

Andriy Onufriyenko / Getty Images

AI’s Costs: The Human Element & the Response

The age of AI will be a revolutionary age. In medicine, engineering, and more, there is the possibility of great benefit to humanity. Consider some Wall Street Journal headlines: “The Quest to Use AI to Help Find New Drugs,” and “Fusion Startup Gets an AI Boost.” Already, AI is a substantial portion of GDP growth.

Yet a rising tide will not lift the boats with holes in their hulls, as Jack Kemp once said. Artificial intelligence is challenging our leaders to think about those possibly left behind. Within the AI community itself, Anthropic CEO Dario Amodei expresses concern that we could see 5-10% GDP growth with 10% unemployment.

Keep ReadingShow less