22 Recent Articles about AI & Journalism

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AI makes human journalists more important than ever - Harvard’s Nieman Lab  

AI is changing the relationship between journalist and audience. There is much at stake – The Guardian

Google will look beyond volume journalism - Harvard’s Nieman Lab  

Why The Washington Post launched an error-ridden AI product - Semafor

The AI widgets taking over news sites and extracting our data. – Columbia Journalism Review

5 predictions for AI’s growing role in the media in 2026 – Fast Company 

News product teams are uniquely positioned to unlock AI value - Harvard’s Nieman Lab   

Google is experimentally replacing news headlines with AI clickbait nonsense – The Verge

In 2026, AI will outwrite humans - Harvard’s Nieman Lab 

Journalist Caught Publishing Fake Articles Generated by AI – Futurism

Politico management violated key AI adoption safeguards, arbitrator finds – Harvard’s Nieman Lab  

Announcing our new AI partnership with Microsoft – Business Insider

Florida nonprofit news reporters ask board to investigate their editor’s AI use - Harvard’s Nieman Lab   

What the iconic writers of New Journalism can teach us in the AI era – Poynter

How an AI-mediated world transforms news consumption. – Columbia Journalism Review

The importance of independent media in the age of AI slop and algorithms. – The Verge  

Journalists may see AI as a threat to the industry, but they’re using it anyway - Harvard’s Nieman Lab  

Investigating a Possible Scammer in Journalism’s AI Era – The Local

Mapping news creators and influencers in social and video networks - Reuters Institute

The Creator Journalism Trust and Credibility Toolkit: A guide for funders - The Lenfest Institute

10 ways I use AI to be a better journalist - Fast Company

How publishers can defend themselves against AI bots stealing journalistic content – The Fix

Shame cuts you down to size

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Shame is universal, but the messages and expectations that drive shame are organized by gender. These feminine and masculine norms are the foundation of shame triggers, and here's why: If women want to play by the rules, they need to be sweet, thin, and pretty, stay quiet, be perfect moms and wives, and not own their power. One move outside of these expectations and BAM! The shame web closes in. Men, on the other hand, need to stop feeling, start earning, put everything in their place, and climb their way to the top or die trying. Push open the lid of your box to grab a breath of air, or slide that curtain back a bit to see what's going on, and BAM! Shame cuts you down to size.

Brené Brown, Daring Greatly

AI Glasses During Exams

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“What is to stop someone from sitting in the back of a classroom and whispering into their glasses to say, ‘Hey, I need help with solving this problem,’” said Luke Hobson, an assistant director of instructional design at MIT. “Every time I see someone saying, ‘Blue books are the future,’ I’m like, ‘So are we going to ban students from wearing glasses?’” -Inside Higher Ed

26 Recent Articles about AI & Teaching

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You Can’t AI-Proof the Classroom, Experts Say. Get Creative Instead. – Inside Higher Ed

Teachers are using software to see if students used AI. What happens when it's wrong? – NPR

Professors are turning to this old-school method to stop AI use on exams – Washington Post 

I’m a Professor. A.I. Has Changed My Classroom, but Not for the Worse – New York Times

OpenAI Is Giving Teachers Their Own ChatGPT, Free Through 2027 - Newsweek 

How AI Is Changing Higher Education – Chronicle of Higher Ed  

AI-generated lesson plans fall short on inspiring students and promoting critical thinking – The Conversation

Universities are embracing AI: will students get smarter or stop thinking? – Nature

Is AI dulling our minds? Experts weigh in on whether tech poses threat to critical thinking, pointing to cautionary tales in use of other cognitive labor tools – The Harvard Gazette

Are we teaching students AI competence or dependence? - London School of Economics  

AI Has Joined the Faculty - Chronicle of Higher Ed 

To adopt or to ban? Student perceptions and use of generative AI in higher education – Nature

What are the clues that ChatGPT wrote something? - Washington Post

Stop Pretending You Know How to Teach AI - Chronicle of Higher Ed

Their Professors Caught Them Cheating. They Used A.I. to Apologize. - New York Times

Teaching Students to Think Critically About AI – Harvard Graduate School of Education

AI-powered textbooks fail to make the grade in South Korea – Rest of World  

More college students are using AI for class. Their professors aren't far behind – NPR

From Yale to MIT to UCLA: The AI policies of the nation's biggest colleges – Mashable

A researcher’s view on using AI to become a better writer – Hechinger Report  

I Want My Students’ Effort, Not AI’s Shortcut to Perfect Writing – Edsurge

AI-resistant strategies - Chronicle of Higher Ed 

What’s working, not on front lines of AI in classroom - The Harvard Gazette

AI Tutors Are Now Common in Early Reading Instruction. Do They Actually Work? – Edweek

Bridging pedagogy and technology: a generative AI and IoT approach to transformative English language education – Nature

Teaching: How to respond when students don’t want to work with AI - Chronicle of Higher Ed 

AI-powered Hacking

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In just the past several weeks, Google disclosed that hackers had used AI-powered malware in an active cyberattack, and Anthropic reported that its models had been used by Chinese state-backed actors to orchestrate a large-scale espionage operation with minimal human intervention. The greatest challenges facing the United States do not come from overregulation but from deploying ever more powerful AI systems without minimum requirements for safety and transparency. - Chuck Hagel writing in The Atlantic

AI Definitions: Circularity

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Circularity – As AI companies invest in each other, money flows in a circular fashion, from one company to another and then back again. In effect, they prop up one another’s finances, in a similar fashion to what was known as “round-tripping” during the dot-com years. The result is an inflated performance without creating profits. The hope is that this will change over time, while larger concern is that demand for AI’s new products might never catch up with the capacity the industry is building.

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All-or-nothing thinking

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I spend days at a time in bed, staring at the ceiling and thinking of all the things I could be doing but can’t because I know I would do them imperfectly. I lose countless hours to inner monologues filled with self-hatred and all-or-nothing thinking. I don’t read anything, instead preferring to slowly crush myself with the existential weight of knowing that I will never be able to read all the things.

For a very long time, I thought that I did this because I was lazy. I figured that if I just worked a little harder, tried a little more, then I would be able to accomplish the things I set out to do. Failing to do them was a failure of my character. It was because I was a bad person, or at least bad at being a person.

I told myself that I had to get my act together; I had to do all of these things so that I could prove I wasn’t the worthless piece of garbage I thought I was. When I inevitably cracked under that pressure, I took it as proof that I was a worthless piece of garbage.

If all of this sounds repetitive, that’s because it is. It’s a vicious, repetitive, monotonous cycle. It moves at breakneck speed, but also not at all. Experiencing it is the most damning case against perfectionism I have ever come across. Expecting perfection only leaves you with two options: do everything right on the very first try, or don’t even bother. Which is actually only one option, since 9 times out of 10, human beings don't do things right on the first try.

Jenni Berrett writing in Ravishly

Imaginary Friends

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There's a little bit of evidence that adults who are novelists or musicians, for example, tend to remember the imaginary friends they had when they were children. It's as if they are staying in touch with those childhood abilities in a way that most of us don't. Successful creative adults seem to combine the wide-ranging exploration and openness we see in children with the focus and discipline we see in adults.

Alison Gopnik, The Philosophical Baby

Sometimes Experts can't tell AI Writing from Human Writing

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It’s become common for writers to mock AI’s stilted, wooden, and em-dash-heavy writing style. But with some gentle coaxing, AI is much better at writing than professional writers want to admit. In one 2025 study, three top AI models were pitted against MFA-trained writers. In initial tests, expert readers clearly preferred the human writing. But once researchers fine-tuned ChatGPT on an individual author’s full body of work, the results flipped. Suddenly, experts preferred the AI’s writing and often couldn’t tell whether it came from a human or a machine. – Derek Thompson

Extraordinary claims (require extraordinary evidence)

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For some people, the less likely an explanation, the more likely they are to believe it. Take flat-Earth believers. Their claim rests on the idea that all the pilots, astronomers, geologists, physicists, and GPS engineers in the world are intentionally coordinating to mislead the public about the shape of the planet. From a prior odds perspective, the likelihood of a plot so enormous and intricate coming together out of all other conceivable possibilities is vanishingly small. But bizarrely, any demonstration of counterevidence, no matter how strong, just seems to cement their worldview further.

Liv Boeree writing in Vox

16 Things People are Trying to Get AI to Do

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AI Definitions: World Models

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World Models are AI systems that build up an internal approximation of an environment. Through trial and error, these bots use the representation to evaluate predictions and decisions before applying the results to real-world tasks. This contrasts with LLMs, which operate based on correlations within language and not on connections to the worth itself. In the late 1980s, world models fell out of favor with scientists working on artificial intelligence and robotics. The rise of machine learning has brought interest in developing these systems back to life.

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17 Articles about AI & the Military

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