23 Recent Articles about the Impact of AI on Health Care

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Medical errors are still harming patients. AI could help change that. – NBC News

AI linked to explosion of low-quality biomedical research papers – Nature  

Machine Learning Model Helps Identify Patients at Risk of Postpartum Depression - Mass General Brigham

Your A.I. Radiologist Will Not Be With You Soon – New York Times  

How AI is changing radiology – Semafor

Medical AI trained on whopping 57 million health records – Nature

Eldercare robot helps people sit and stand, and catches them if they fall – MIT

AI Helped Heal My Chronic Pain – Wall Street Journal

How AI is changing your doctors appointments – Fast Company

As AI in health care proliferates, so do legal questions concerning its use – Stat News

Researchers raise red flag about AI-generated fake images in biomedical research – Medicalxpress

Walgreens doubles down on prescription-filling robots to cut costs, free up pharmacists amid turnaround – CNBC

Artificial neural networks date back to the 1950s – now they're ready to transform healthcare – Health Care IT News  

Artificial intelligence predicts kidney cancer therapy response -  UT Southwestern Medical Center

Refining ALS Diagnosis with AI – First Word Pharma

AI is coming to skin cancer detection - Washington Post

Every doctor is a writer: On the end of note-writing and meaning-making in medicine – Stat News

New AI algorithm to predict risk of cardiovascular events, heart-related death – AM 7 am

AI hasn’t killed radiology, but it is changing it – Washington Post

Transformer AI model detects wheezing in children with over 90% accuracy: study – Korea Biomedical Review

As they push ahead with AI, health leaders must set rules on use – American Medical Association

OpenAI leaps into health care with AI benchmark to evaluate models - Stat News

Medical schools move from worrying about AI to teaching it – American Association of Medical Colleges

Why AI May Be Listening In on Your Next Doctor’s Appointment - Wall Street Journal

AI Magic & Engineering Principles

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None of this is to say AI can’t write good code – it sometimes does – but rather that context, scrutiny, and expertise are required to discern good from bad. In 2025, we are essentially using a very eager but inexperienced assistant. You shouldn’t blindly trust an AI’s code without oversight. The hype of “AI magic” needs to meet the reality of software engineering principles. - Addy Osmani writing on Elevate

22 Articles about How AI is Affecting Jobs

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Why AI Interviews Could Be Bad News For Honest Designers – Andy Budd

The future of AI is in western Pennsylvania - Washington Post

I’m a LinkedIn Executive. I See the Bottom Rung of the Career Ladder Breaking. – New York Time 

AI and the future of work – Cambridge

An AI tool for better career decisions – David Bauer  

How AI Is Helping Job Seekers Pivot to New Careers - Wall Street Journal 

AI poses a bigger threat to women's work, than men's, says report – Reuters  

If you haven’t been worrying about AI, it’s time to start preparing - Washington Post 

Something Alarming is Happening to the Job Market: A new sign that AI is competing with college grads – The Atlantic

The AI Threat for Coding Jobs Is Becoming Clearer – Bloomberg  

The Hottest AI Job of 2023 Is Already Obsolete  - Wall Street Journal 

AI isn’t ready to do your job – Business Insider  

Microsoft says AI coworkers are coming fast – Yahoo Tech

The Dangers Of AI-Generated Job Candidates – Forbes 

AI “interns” are too big to ignore – Fast Company 

Why AI Might Not Take All Our Jobs—If We Act Quickly – Wall Street Journal

Americans worry AI is coming for these jobs – Washington Post

Say Hello to Your New Colleague, the AI Agent – Wall Street Journal

Google AI Search Leaves Website Makers Feeling Betrayed – Bloomberg

"AI-first" is the new Return To Office – Anil Dash

Innovate Why AI Won’t Replace Venture Capitalists Any Time Soon – Inc 

13 jobs that don't require a college degree − and won't be replaced by AI – USA Today

Unchecked AI-generated Code

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Unchecked AI-generated code can massively amplify technical debt, the hidden problems that make software brittle and costly to maintain.  Many early vibe-coded projects look good on the surface (“it works, ship it!”) but hide a minefield of issues: no error handling, poor performance, questionable security practices, and logically brittle code. - Addy Osmani writing on Elevate

Instructors Using AI Get Student Pushback

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"Students are complaining on sites like Rate My Professors about their instructors’ overreliance on A.I. and scrutinizing course materials for words ChatGPT tends to overuse, like 'crucial' and 'delve.' In addition to calling out hypocrisy, they make a financial argument: They are paying, often quite a lot, to be taught by humans, not an algorithm that they, too, could consult for free." -New York Times

Deep Practice

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Deep practice feels a bit like exploring a dark and unfamiliar room. You start slowly, you bump into furniture, stop, think, and start again. Slowly, and a little painfully, you explore the space over and over, attending to errors, extending your reach into the room a bit further each time, building a mental map until you can move through it quickly intuitively. the instinct to slow down and break skills into their components is universal.  

We heard it a billion times while we were growing up, from parents and coaches who echoed the old refrain “Just take it one step at a time.” But what I didn't understand until I visited the talent hotbeds was just how effective that simple, intuitive strategy could be.  

In the talent hotbeds I visited, the chunking takes place in three dimensions. First, the participants look at the task as a whole—as one big chunk, the megacircuit. Second, they divide it into its smallest possible chucks. Third, they play with time, slowing the action down, then speeding it up, to learn its inner architecture.

People in the hotbeds deep-practice the same way a good movie director approaches a scene—one instant panning back to show the landscape, The next zooming in to examine a bug crawling on a leaf in slo-mo.

Daniel Coyle, The Talent Code

Free Educator Newsletters about AI

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The Academic DJ - Justin Cerenzia

The AI Edventure - Jason Gulya 

AI x Education - Stanford University

AI and How We Teach Writing - Annette Vee

AI, writing, and pedagogy - Anna Mills

The Biblioracle Recommends - John Warner

The Broken Copier - Marcus Luther 

The End(s) of Argument - Mike Caulfield

One Useful Thing - Ethan Mollick

Writing Hacks - Jane Rosenzweig

Mathematics may shift to more closely resemble the humanities because of AI

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Perhaps mathematicians will spend most of their time trying to understand the proofs the AI system generates. Mark Kisin, a mathematician at Harvard University, foresees the field shifting to more closely resemble the humanities. “If you look at a typical English department at a university, it’s not usually staffed by people who write literature,” he said. “It’s staffed by people who critique literature.” Similarly, he said, mathematicians might assume the role of critics who closely analyze AI proofs and then teach them in seminars. Ronen Eldan, a mathematician who recently left the Weizmann Institute of Science for OpenAI, recalls a conversation in which another mathematician predicted that “mathematicians will be like pianists today,” he said. “They don’t play their own compositions, but people still come to hear them.” It will in some sense be the end of research mathematics as it’s currently practiced,” Daniel Litt of the University of Toronto said. “But that doesn’t mean it will be the end of mathematicians.” - Jordana Cepelewicz writing in Quanta Magazine

Straight A’s won’t matter in real life

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When I was in college, I obsessed over getting straight A’s, said Adam Grant. Now that I’m a professor, “I watch in dismay” when I see students joining the same “cult of perfectionism.” They think straight A’s will provide entrée to elite graduate schools and prestigious careers. The evidence, however, says otherwise. Research across industries shows that while there’s a modest correlation between grades and job performance the first year out of college, after a few years, the difference is “trivial.” Why? “Getting straight A’s requires conformity. Having an influential career demands originality.” While straight-A students are locked in their dorm rooms or library pursuing “meaningless perfection,” their peers are developing skills that aren’t captured by grades: “creativity, leadership, and teamwork skills and social, emotional, and political intelligence.” Real career success doesn’t come from “finding the right solution to a problem—it’s more about finding the right problem to solve.” In high school Steve Jobs pulled a 2.65 GPA, J.K. Rowling had a C average at Exeter, and Martin Luther King Jr. managed only one A in four years at Morehouse College. This tells us that “underachieving in school can prepare you to overachieve in life.”

Adam Grant writing in The New York Times (as quoted in The Week Magazine) 

29 Recent Articles about AI & Teaching

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Your Students Need an AI-Aware Professor - Chronicle of Higher Ed 

Will the Humanities Survive Artificial Intelligence? – The New Yorker

As ChatGPT scores B- in engineering, professors scramble to update courses – The Registrar

How Miami Schools Are Leading 100,000 Students Into the A.I. Future – New York Times

The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysis – Nature  

Teaching journalism students generative AI: why I switched to an “AI diary” this semester – Online Journalism Blog

The Professors Are Using ChatGPT, and Some Students Aren’t Happy About It – New York Times

Everyone Is Cheating Their Way Through College – New York Magazine

AI-Aware Teaching Examples - Annette Vee Blog

I'd rather read the prompt – Clayton Ramsey  

Is AI Enhancing Education or Replacing It? – Chronicle of Higher Ed 

Draft executive order outlines plan to integrate AI into K-12 schools – Washington Post  

As ‘Bot’ Students Continue to Flood In, Community Colleges Struggle to Respond – Voice of San Diego  

Teachers warn AI is impacting students' critical thinking - Axios

Business schools ease their resistance to AI – Financial Times

A Shortcut or a Level Up? Harvard Faculty Debate Generative AI in Academia – The Crimson

AI-Powered Teaching: Practical Tools for Community College Faculty – Faculty Focus

California college professors have mixed views on AI in the classroom – Ed Source

Here's how AI has changed the way Penn faculty grade, teach courses – The Daily Pennsylvanian  

Here’s how Carolina faculty use AI – University of North Carolina  

Introducing Claude for Education – Anthropic

Teachers Worry About Students Using A.I. But They Love It for Themselves. – New York Times

Teachers warn AI is impacting students' critical thinking – Axios  

Preparing science educators to use and teach AI in the classroom – National Science Foundation

Educators seek to combat AI challenges in the classroom – The Hill 

AI works best in the classroom with professor guidance, researchers found – EdScoop 

What Can College Instructors Offer Their Students in the Age of AI? - Faculty Focus 

What's the Future for AI-Free Learning Spaces? - Jason Gulya Blog

What’s Your AI Policy? Communicate your guidelines clearly and talk about them with students  - Annette Vee Blog

Grammarly Offering Authorship Tool

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Grammarly has created a new authorship tool. It tracks the writing process, showing where text is typed into a document or pasted, as well as which parts of a document are created or modified with AI. When the paper is complete, a report is generated, which students can show teachers if there is any question about the source of their work. -Wall Street Journal