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From Covid to climate change, we have no idea what we're talking about

Two people not understanding each other
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Cantu is the digital director at the American Conservation Coalition, which mobilizes young people around environmental action through market-based and limited-government ideals.

While it is nonsensical to try to prescribe a diagnosis to America's current state of civic discourse — from dumping manure on the White House lawn in the name of climate action or attending the Met Gala to demand we "tax the rich" — we often blame partisan politics. But what if part of the problem is that we literally cannot understand one another? And, perhaps worse than that, the institutions we trust to lead the public have stopped trying to communicate to be understood.

Let's get the figures out of the way. The Organization for Economic Cooperation and Development found that 50 percent of U.S. adults cannot read a book written at an eighth-grade level. The National Institute of Literacy estimates that the average American reads at a seventh- to eighth-grade level. Despite these concerns, an analysis of 21 major media outlets found that consumers require a 10th grade reading level to comprehend any of them. Most notably, Fox News and NPR ranked at an 11th grade level, while outlets like MSNBC and Politico exceeded a 12th grade level. This is not an isolated issue. Both the government and media fail to meet Americans where they are in terms of knowledge and vocabulary on critical subjects, such as the Covid-19 pandemic or climate change.

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In 2010, President Barack Obama signed the U.S. Plain Writing Act, requiring "federal agencies use clear government communication that the public can understand and use." While the intention was to ensure government institutions communicated with national literacy and comprehension rates in mind, the Covid-19 pandemic has illuminated that some issues cannot be merely legislated away. A fall 2020 analysis of federal and state websites related to Covid-19 failed to meet the standards for communicating with the public identified by leading institutions such as the American Medical Association and National Institute for Health.

These concerns can also be applied to how we talk about climate change. Climate change is a scientific concept at its core, which means it's spoken about in scientific terms. When vital information about climate change is being communicated to the public through words like "mitigation," "adaptation," "carbon neutra," or, even worse, "carbon negative," Americans are lost.

This was especially clear when a Twitter user recently pointed out that his milk boasted being "carbon positive" by 2045. Unsurprisingly, the replies were full of confusion and differing dictionaries of climate jargon. The general consensus was that Horizon Organic really meant "carbon negative," or that the company will capture more carbon than it emits, but didn't want negative language on its branding materials. Other users also mentioned that the terms "carbon negative" and "carbon positive" actually mean the same thing, which, of course, is problematic for the average citizen just trying to make sense of it all.

When the words we use to discuss one of the biggest problems of our life do more to confuse than inform, it's not a mystery as to why climate action has stalled for decades. From 3D data segmentation to workforce solutions and now climate action, I have spent the past five years creating accessible digital media on behalf of organizations. No matter the complexity or mundanity behind policy or scientific information, one thing remains the same — language that requires highly specialized knowledge is found everywhere, and it is intentionally alienating people.

To be clear, the goal is not to make every American an epidemiologist or climate scientist. Instead, communicators in the space need to be more deliberate with the language they use and its readability. At the pandemic's beginning, media outlets came under fire for hiding their Covid reporting behind a paywall. Similarly, if we as science and policy communicators do not work to deliver our information in a way that is accessible to the public, our words are also hidden away, just in plain sight.

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Should States Regulate AI?

Rep. Jay Obernolte, R-CA, speaks at an AI conference on Capitol Hill with experts

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Should States Regulate AI?

WASHINGTON —- As House Republicans voted Thursday to pass a 10-year moratorium on AI regulation by states, Rep. Jay Obernolte, R-CA, and AI experts said the measure would be necessary to ensure US dominance in the industry.

“We want to make sure that AI continues to be led by the United States of America, and we want to make sure that our economy and our society realizes the potential benefits of AI deployment,” Obernolte said.

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The AI Race We Need: For a Better Future, Not Against Another Nation

The concept of AI hovering among the public.

Getty Images, J Studios

The AI Race We Need: For a Better Future, Not Against Another Nation

The AI race that warrants the lion’s share of our attention and resources is not the one with China. Both superpowers should stop hurriedly pursuing AI advances for the sake of “beating” the other. We’ve seen such a race before. Both participants lose. The real race is against an unacceptable status quo: declining lifespans, increasing income inequality, intensifying climate chaos, and destabilizing politics. That status quo will drag on, absent the sorts of drastic improvements AI can bring about. AI may not solve those problems but it may accelerate our ability to improve collective well-being. That’s a race worth winning.

Geopolitical races have long sapped the U.S. of realizing a better future sooner. The U.S. squandered scarce resources and diverted talented staff to close the alleged missile gap with the USSR. President Dwight D. Eisenhower rightfully noted, “Every gun that is made, every warship launched, every rocket fired signifies, in the final sense, a theft from those who hunger and are not fed, those who are cold and are not clothed.” He realized that every race comes at an immense cost. In this case, the country was “spending the sweat of its laborers, the genius of its scientists, the hopes of its children.”

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Closeup of Software engineering team engaged in problem-solving and code analysis

Closeup of Software engineering team engaged in problem-solving and code analysis.

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AI Is Here. Our Laws Are Stuck in the Past.

Artificial intelligence (AI) promises a future once confined to science fiction: personalized medicine accounting for your specific condition, accelerated scientific discovery addressing the most difficult challenges, and reimagined public education designed around AI tutors suited to each student's learning style. We see glimpses of this potential on a daily basis. Yet, as AI capabilities surge forward at exponential speed, the laws and regulations meant to guide them remain anchored in the twentieth century (if not the nineteenth or eighteenth!). This isn't just inefficient; it's dangerously reckless.

For too long, our approach to governing new technologies, including AI, has been one of cautious incrementalism—trying to fit revolutionary tools into outdated frameworks. We debate how century-old privacy torts apply to vast AI training datasets, how liability rules designed for factory machines might cover autonomous systems, or how copyright law conceived for human authors handles AI-generated creations. We tinker around the edges, applying digital patches to analog laws.

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Nurturing the Next Generation of Journalists
man using MacBook Air

Nurturing the Next Generation of Journalists

“Student journalists are uniquely positioned to take on the challenges of complicating the narrative about how we see each other, putting forward new solutions to how we can work together and have dialogue across difference,” said Maxine Rich, the Program Manager with Common Ground USA. I had the chance to interview her earlier this year about Common Ground Journalism, a new initiative to support students reporting in contentious times.

A partnership with The Fulcrum and the Latino News Network (LNN), I joined Maxine and Nicole Donelan, Program Assistant with Common Ground USA, as co-instructor of the first Common Ground Journalism cohort, which ran for six weeks between January and March 2025.

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