20 Recent Articles about the Impact of AI on Health Care

An AI-Generated Protein Helps T Cells Kill Cancer – The-Scientist

AI is helping patients fight insurance company denials – NBC News

ChatGPT Tells Pregnant Woman To 'Call an Ambulance'—Saves Their Lives - Newsweek

An Artificial Intelligence Code of Conduct for Health and Medicine –  National Academy of Medicine

Mayo Clinic develops AI tool that can identify 9 dementia types with a single scan – R & D World Online 

Abridge, Whose AI App Takes Notes for Doctors, Valued at $5.3 Billion at Funding – Wall Street Journal  

AI tool diagnoses nine types of dementia with 88% accuracy using a single PET scan – Technology Networks 

Finding viable sperm in infertile men can take days. AI did it in hours. – Washington Post  

AlphaGenome is an AI-powered platform aiming to predict how genetic code variants lead to different diseases – Stat News  

Doctors Report the First Pregnancy Using a New AI Procedure – TIME  

New Arizona law prevents AI from making health insurance denials – AZ Family 

WVU researchers test AI’s limits in emergency room diagnoses – West Virginia University 

The expanding role of AI in dentistry: beyond image analysis – Nature

AI faces skepticism in end-of-life decisions, with people favoring human judgment – Medical Xpress

Explainability in the age of large language models for healthcare - Nature 

It’s too easy to make AI chatbots lie about health information, study finds – Reuters

AI companies have stopped warning you that their chatbots aren’t doctors – MIT Tech Review 

Doctors at Cedars-Sinai develop AI-powered mental health ‘robot’ therapist – LA Times

Microsoft Says Its New AI System Diagnosed Patients 4 Times More Accurately Than Human Doctors – Wired

A GPT-powered medical device certified in Europe raises questions about generative AI in health care – Stat News

The fear that AI will Flatten Everything

I understand the fear that AI will flatten everything — our voices, our culture, even our humanity. It’s a genuine concern. When algorithms prioritize patterns over personality, the result can be unnervingly uniform. Language becomes smooth but soulless. Distinctiveness gets edited out. And yet — I don’t believe the story ends there. History tells us something else: that when more people can express themselves, culture expands. The spectrum widens. And over time, we find new ways to value voice, not just polish. Yes, we’ll have to work harder to preserve individuality. To notice when we’re defaulting to the safe or generic. -Youjin Nam writing in Medium

AI & Liberal Arts

In a liberal arts education, the student herself is the product. 

Instead of creating a product, humanities education is different. The students themselves are what’s getting created and recreated through the learning process.

A liberal arts education is to be personally transformative by cultivating virtues. 

Aristotle saw education as a pursuit that’s personally transformative. He believed the most fundamental goal was not just imparting knowledge, but cultivating virtues that make for a flourishing life. 

A product-based, utilitarian vision of college is inadequate. 

A college must be a place where the goal of flourishing lies underneath the assignments, the tests, the discussions, the feedback, the clubs, and the social structure. Using generative AI in the classroom threatens to leave out of the process something vital: friction. Cognitive automation threatens to minimize cognitive friction.

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16 Webinars this week about AI, Journalism & Media

Mon, July 28 - AI Literacy: A Toolkit for Family Engagement

What: Learn about a brand-new toolkit for family engagement around AI literacy. We’ll dive into videos, activities for hands-on learning moments, and conversation cards to spark thoughtful discussions.

Who: Valerie Brock, Former Educator, Current Director of Curriculum, Day of AI; Tali Horowitz, East Coast Education Director, Common Sense Education; Jennifer Ehehalt, Sr. Regional Manager, Midwest, Common Sense Education.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsors: Day of AI & Common Sense Media

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Mon, July 28 - Building Agentic Systems With PydanticAI

What: Hands-on, high-level walkthrough of agentic system design using PydanticAI, a new open-source library that turns LLMs into structured, tool-enabled agents.

Who: Zhen (Tony) Zhao, Full-Stack Data Scientist, IDinsight.

When: 2 pm, Eastern

Where: Zoom

Cost: Free

Sponsors: IDinsight & OpenAI Academy

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Tue, July 29 - Learn how to host a community journalism training to keep local journalism thriving

What: Lessons from a community journalism seminar held earlier this year. We’ll offer practical tips and lessons learned in hosting the program, which featured guest lecturers, a field trip to a local newsroom and a finished piece of journalism from each participant.

Who: Jake Wittich, managing editor of Windy City Times; Anna DeShawn, coordinator of Windy City Times’ BLACKlines newsletter and founder of E3 Radio; Reyna Ortiz, program director at Taskforce Prevention and Community Services and a member of Windy City Times’ community journalism training cohort; Lindsey Young, co-owner of Kansas Publishing Ventures and instructor at Earn Your Press Pass.

When: 12:30 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: The Reynolds Journalism Institute

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Tue, July 29 - Solidarity Journalism – Reporting for Social Justice Beyond Taking Sides

What: Practical frameworks for journalists and editors to distinguish solidarity for basic dignity from partisanship, prioritize truth over both-sidesism, and build credibility through inclusive, justice-driven coverage. Learn how solidarity journalism can strengthen journalism’s pursuit of truth, deepen audience connection, and uphold the core mission of journalism to serve the public in an era of growing polarization and disinformation.

Who: Anita Varma, a faculty member at the University of Texas at Austin.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: New England Newspaper & Press Association

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Tue, July 29 - How To Build Scalable Marketing During Lean Times

What: How to streamline marketing operations by connecting the right people, processes, and technology. This conversation will explore how to spot inefficiencies, reduce friction, and deploy technology that enhances, not hinders, your workflow. You’ll also hear how leading brands are building more agile teams and proving marketing’s value through smarter execution.

Who: Oliver Kimberley, General Manager, Managed Services, Quad. George Forge, SVP Client Technology & Development.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Quad

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Tue, July 29 - Critical Thinking for Leveraging AI in Sales and Training: How Credible is AI?

What: How to master the skills that keep you ahead of the curve, trusted by your clients, and indispensable to your organization. Cut Through the Noise About AI in the Media: Discover what’s real, what’s risky, and what actually drives results for sales and marketing teams. Protect Your Credibility: Learn how to spot AI-generated errors before they undermine your client relationships and professional reputation.

Who: C. lee smith C. Lee Smith CEO of SalesFuel, Global Sales Credibility Authority.

When: 3 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: SalesCred

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Wed, July 30 - AI in Libraries: Transforming Information Access

What: Explore how AI enhances library services, including automated cataloging, AI-driven search tools, and personalized recommendations. Discuss ethical considerations and best practices for implementation.

Who: Dr. Treg Hopkins Co-Founder of Connectable, an Indiana-based nonprofit; Meg Adams Central Regional Coordinator, Indiana State Library.

When: 10 am, Eastern

Where: Zoom

Cost: Free

Sponsor: Indiana State Library

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Wed, July 30 - The 5 Ws of Research

What: Learn how to uncover public records and hard-to-find facts.

Who: Caryn Baird Researcher for PolitiFact; Loreben Tuquero Staff Writer, PolitiFact; Lane DeGregory Enterprise reporter, Tampa Bay Times.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Poynter

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Wed, July 30 - Blending Creativity with AI - Advanced Story Design for Learning

What: Explore how blending AI with creative storytelling can revolutionize eLearning design in our session, "Blending Creativity with AI - Advanced Story Design for Learning." Discover the power of branching scenarios and AI-driven narratives to create personalized, engaging, and memorable learning experiences that cater to individual needs.   We will walk through an example live with audience on how to write branching scenarios with AI as a helper and you can.

Who: Garima at atd Garima Gupta, M.Ed., B.E., CTDP Founder & CEO, Artha Learning Inc.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Open Sesame

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Wed, July 30 - Generational Giving: How to Better Connect with Each Generation

What: Learn about: How different generations prefer to get involved with your organization. Communication preferences and strategies for Generation Z through Baby Boomers. Tips on how to account for donor preferences in your follow-up and retention efforts.

Who: James Goalder, Partnerships Manager at Bloomerang.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Nonprofit Tech for Good

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Wed, July 30 - Disappearing Data and How Reporters Can Respond

What: We’ll review new changes and holes in the federal data landscape and discuss potential strategies for reporters looking to ground stories on a firm foundation of data and facts.

Who: Jarvis Chen is a social epidemiologist and senior lecturer on social and behavioral sciences at the Harvard T.H. Chan School of Public Health; Julia Lane is a professor emerita at the NYU Wagner Graduate School of Public Service; Angeliki Kastanis is data editor at The Associated Press; J. Emory Parker is the data editor at STAT.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: USC Anneberg Center for Health Journalism

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Wed, July 30 - Structuring your data for AI: what you need to know

What: Hear from experts about how to get your data in order before moving forward with AI.  Specifically, you’ll learn: The elements of a good data governance strategy to empower AI. Where agencies are gaining productivity by harnessing their data. Where agencies can go awry when it comes to data formatting.

Who: Chris Burroughs, Director, Data Protection and Governance, Commonwealth of Virginia.

When: 2 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Govloop

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Wed, July 30 – Strengthening Ties between Local History Organizations and News Media

What: Tips for history organizations looking to engage local journalists around potential stories and insight on other roles the press can play in community life. After about 15 minutes of presentation, attendees will participate in a facilitated conversation and Q&A centered around how to think about sharing your stories with local journalists, what to expect when engaging a local journalist, and what opportunities there may be beyond news stories, too.

Who: Samantha Ragland of the American Press Institute.

When: 3 pm, Eastern

Where: Zoom

Cost: $25 for members, $45 for non-members

Sponsor: The American Association for State and Local History

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Thu, July 31 - New research: What news consumers want to know about journalists’ use of AI

What: Survey responses from actual news consumers in the U.S., Brazil and Europe and hear how the public responded to different versions of AI use disclosures used in new stories.

Who: University of Minnesota researcher Benjamin Toff.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Trusting News

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Thu, July 31 - AI Tools That Make You More Money

What: We will discuss and demonstrate how the AdApt Media Sales platform increases efficiency and revenue for our local media partners. 

Who: Dave Buonfiglio, Jeff Gallop Partners AdApt Media Sales.

When: 2 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Local Media Association

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Thu, July 31 - AI-Powered Digital Twins: Transforming Learning & Development

What: Join us as we explore how AI-powered digital twins are revolutionizing the learning and development landscape by converting human expertise into scalable, durable, and accessible resources.

Who: Phylise Banner Director of eLearning, Champlain College Online; David James Clarke IV CEO and Co-founder, Praxis AI.

When: 3 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Open Sesame

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Game Theory & Pascal’s Wager

Pascal’s argument (written in the 1600’s) went like this: Suppose you concede that you don’t know whether or not God exists and therefore assign a 50 percent chance to either proposition How should you weight these odds when decided whether to lead a pious life? If you act piously and God exists, Pascal argued, your gain – eternal happiness - is infinite. If, on the other hand, God does not exist, your loss, or negative return, is small – the sacrifices of piety. To weigh these possible gains and losses, Pascal proposed, you multiply the probability of each possible outcomes by its payoff and add them all up, forming a kind of average or expected payoff. 

In other words, the mathematical expectation of your return on piety is one-half infinity (your gain if God exists) minus one-half a small number (your loss if he does not exist). Pascal knew enough about infinity to know that the answer to this calculation is infinite, and thus the expected return on piety is infinitely positive. Every reasonable person, Pascal concluded, should therefore follow the laws of God. Today this argument is know as Pascal’s wager. 

Pascal’s wager is often considered the founding of the mathematical discipline of game theory, the quantitative study of optimal decision strategies in games.

Leonard Mlodinow, The Drunkard's Walk: How Randomness Rules Our Lives

17 Recent Articles about the Dangers of AI

Teens & AI Companionship

“In interviews with The Associated Press and a new study, teenagers say they are increasingly interacting with AI as if it were a companion, capable of providing advice and friendship. ‘Everyone uses AI for everything now. It’s really taking over,’ said Kayla Chege, a high school student in Kansas, who wonders how AI tools will affect her generation. ‘I think kids use AI to get out of thinking.’ More than 70% of teens have used AI companions and half use them regularly, according to a new study from Common Sense Media.” -Associated Press

AI Definitions: Natural Language Processing

Natural language processing - This type of machine learning transfers language into numbers to make it intelligible to machines. The first step is tokenization, where text is divided into word units called tokens. These tokens are then transformed into vectors. These vectors are lists of numbers. A single word token might be represented by more than 1,000 numbers in a vector. The vector is considered to have a higher dimension when many numbers are used. The meaning is therefore nuanced. A low dimension for a vector means the list of numbers is low. While a low dimension is not as nuanced, it is easier to work with. A deep learning model (typically a transformer model) can use these vectors to understand the meaning of words and determine how the words relate to one other. An example would be “king “relates to “man” while “queen” relates to “woman.”

More AI definitions here

What the Humanities are For

As one student said to his professor at New York University, in an effort to justify using AI to do his work for him, “You’re asking me to go from point A to point B, why wouldn’t I use a car to get there?” It’s a completely logical argument — as long as you accept the utilitarian vision. The real solution, then, is to be honest about what the humanities are for: You’re in the business of helping students with the cultivation of their character. -Sigal Samuel writing in Vox

22 Articles about the Business of Running an AI Company

The business of running an AI 

Trump’s ‘anti-woke AI’ order could reshape how US tech companies train their models – Tech Crunch 

Google users are less likely to click on links when an AI summary appears in the results – Pew Research

OpenAI's data center ambitions collide with reality - Axios

Making Sense of the Billion-Dollar AI Mega Deals – The Wrap 

AI's anything-goes moment - Axios

Google and OpenAI are vying for top AI mathlete - Axios 

AI Is Dividing the Fortunes of the Magnificent Seven – Wall Street Journal  

Anthropic launches its first big disruption to the finance industry - Axios  

Reflections on OpenAI (from a recent employee) - Calvin French-Owen 

OpenAI and Anthropic researchers decry ‘reckless’ safety culture at Elon Musk’s xAI – Tech Crunch 

A coalition of funders say they will spend $1 billion to help develop AI tools for public defenders, parole officers, social workers – Associated Press  

Google Discover adds AI summaries, threatening publishers with further traffic declines – Tech Crunch 

Amazon launches AI agent-building platform for businesses to help boost productivity – Semafor  

Their Water Taps Ran Dry When Meta Built an AI data center Next Door – New York Times

Amazon delays Alexa’s web debut — and a faceoff with ChatGPT – Washington Post

The Open-Source Software Saving the Internet From AI Bot Scrapers – 404 Media 

Elon Musk’s AI chatbot Grok launches into antisemitic rant amid updates - Washington Post

How Google AI Overviews is fuelling zero-click searches for top publishers – Press Gazette

OpenAI to release web browser - Reuters

Who’s to blame when AI spews hate? - Washington Post 

Here’s how Character.AI’s new CEO plans to address fears around kids’ use of chatbots - CNN 

AI chatbots’ content rules often frustrate users, study finds - Washington Post 

China's AI Lead

"China has taken a commanding lead in the exploding field of artificial intelligence (AI) research, despite U.S. restrictions on exporting key computing chips to its rival, finds a new report. In 2000, China-based scholars produced just 671 AI papers, but in 2024 their 23,695 AI-related publications topped the combined output of the United States (6378), the United Kingdom (2747), and the European Union (10,055). U.S. influence in AI research is declining, with China now dominating." -Science.org

I like your style

Many of us have had the experience of being in a close relationship with someone for whom we could hardly ever do anything right, and also being with other people for whom we could hardly ever do anything wrong. Yet both kinds of people are likely to think about what they value is what really should be valued in an interpersonal relationship.

Often, the difference in what they value is question of style. People tend not to recognize this fact, however. They confuse what they value with what is “right.” 

One person may feel very comfortable with someone who is highly organized, whereas another person feels bored and cramped with the same highly organized person. One person may love to interact with someone who flits from idea to idea and can never finish a sentence, while another person may feel highly frustrated by the same individual.

One person may like someone who is evaluative and often points out the strengths and weaknesses of friends, while another person feels threatened by the same individual. Compatibility in relationships often means finding someone who appreciates not only who we are, in general, but the styles we have, in particular.

Robert Sternberg, Thinking Styles

SEO Fades as GEO Rises

“Google has made it clear: AI is building the future of search. Google now ranks based on contextual relevance, not just keywords or backlinks. It uses AI and vector embeddings to evaluate who created content, how trustworthy it is, and how it fits within its broader knowledge graph. Most SEO tools and practices haven’t caught up. As new APIs and metrics become more accessible, we’ll see a new generation of SEO roles and tools emerge that align with how Google actually works.” -Digiday

Fearing Outsiders

"It’s what we call an over-exclusion bias," Mina Cikara, a Harvard psychologist who studies intergroup conflict, said. When you start fearing others "your circle of who you counted as friends is going to shrink. And that means those people outside of the bounds get less empathy, get fewer resources." It also means you become more vigilant and obsessed with marking who is an insider and who is not. "You want to draw those boundaries brighter, so you don’t make any mistakes about who you want to share your resources with or who you want to trust," she says.

Brian Resnick writing in Vox

22 Recent Articles about AI & Teaching

Towards responsible AI in education: a systematic review on identifying and mitigating ethical risks – Nature  

AI’s giants want to take over the classroom – MIT Tech Review 

I Teach Creative Writing. This Is What A.I. Is Doing to Students. – New  York Times  

Teachers union partners with Anthropic, Microsoft and OpenAI to launch AI-training academy – CBS News  

OpenAI and Microsoft Bankroll New A.I. Training for Teachers – New York Times 

Universities are rethinking computer science curriculum in response to AI tools – TechSpot

How Do You Teach Computer Science in the A.I. Era? - The New York Times

California colleges spend millions to catch plagiarism and AI. Is the faulty tech worth it? - Cal Matters

How ChatGPT and other AI tools are changing the teaching profession – Associated Press  

Does ownership rights over original scholarship extend to the elements of a single course on AI? – Chronicle of Higher Ed  

The Computer-Science Bubble Is Bursting: Artificial intelligence is ideally suited to replacing the very type of person who built it – The Atlantic

A.I. in the Classroom: A Brave New World? - New York Times

Professors Are Using A.I., Too. Now What? – NPR  

How To Stay Ahead Of AI – The Human Skills Universities Must Teach – Forbes  

Duolingo CEO says AI teaches better than humans—but schools will exist ‘because you still need childcare’ - Fortune

My students think it’s fine to cheat with AI. Maybe they’re onto something. - Vox 

Impact of gen AI on students’ learning outcomes: a technology-mediated & motivation-driven approach – Nature  

Chatbots in the classroom: how AI is reshaping higher education - Financial Times

Integrating AI-generated content tools in higher ed: a comparative analysis of interdisciplinary learning outcomes – Nature 

Bringing GenAI into the university classroom - Times Higher Ed

I am no longer chairing defenses or joining committees where students use generative AI for their writing - Statistical Modeling, Causal Inference, and Social Science

Report: Faculty Often Missing From University Decisions on AI – Inside Higher Ed

The Perceived Emotional Intelligence of AI

Researchers ran commonly used tests of emotional intelligence on six Large Language Models including generative AI chatbots like ChatGPT.  They are the same kinds of tests that are commonly used in corporate and research settings: scenarios involving complicated social situations, and questions asking which of five reactions might be best. “When we run these tests with people, the average correct response rate … is between 15% and 60% correct. The LLMs on average, were about 80%. So, they answered better than the average human participant.” .-Bill Murphy, Jr