20 Recent Articles about AI Fakes

/

Russian TV falls for fake report on DeepSeek's 'Soviet code' -  Reuters 

DeepSeek hallucinates alarmingly more than other AI models – Semafor

Low quality books that appear to be AI generated are making their way into public libraries – 404 Media  

Trump deepfake message to Putin fooled Russians - VOA News 

Meta’s fake AI users are here and they’re giving everybody the creeps – Sherwood  

YouTube launching new tools to help celebrities manage AI copycats - Semafor

Apple urged to axe AI feature after false headline - BBC

Instagram’s head says social media needs more context because of AI – The Verge

How to identify AI-generated text: 7 ways to tell if content was made by a bot – Mashable  

Stanford Professor Accused of Using AI to Write Expert Testimony Criticizing Deepfakes – Gizmodo  

Experts fail to reliably detect AI-generated histological data – Nature    

A Survey on the Use of Large Language Models (LLMs) in Fake News - MDPI    

Combating misinformation in the age of LLMs: Opportunities and challenges – Wiley  

A meta-analysis of correction effects in science-relevant misinformation – Nature  

Meta Moves to End Fact-Checking Program – New York Times 

AI and Social Media Fakes: Are You Protecting Your Brand? – Law.com

Cyber expert weighs in on spotting fake, AI-generated information on social media and online – ABC

Phishing with AI is cybersecurity’s new hook – McKinsey  

No. 42 law firm by head count could face sanctions over fake case citations generated by AI – ABA Journal 

Fake AI hedge fund manager admits fraud in U.S. – Investment Executive

AI Definitions: Imitation Learning

/

Imitation Learning – This is a popular method for training robots, along with reinforced learning. The robots learn by watching humans or by being given data on other robots which are being operated by humans. Out of fashion for decades, it has recently come back into favor in robotics as a result of AI. The downside to this technique is the need for large amounts of data in order for the robots to imitate new behaviors.

More AI definitions here

What does she see in him?

/

It happened years ago, but I've never forgotten it. I was singing and speaking at a small Midwestern college. During an informal seminar in one of the dorm lounges, a couple came in late.

I couldn't help noticing something odd about them. The girl was very attractive, close to cover-girl standards. The guy looked as if he had just walked off the set for The Nerds. He was short, wore thick horn-rimmed glasses and a plaid short-sleeved shirt. He was definitely a candidate for getting sand kicked in his face.

But the strangest thing of all was that these two were obviously in love. What could she possibly see in him? I asked myself. Suddenly I realized — she was blind.

But what did she see in him? Everything. Everything that's important about who a person is, what love is, and what a real man is. She saw everything she needed to know about him.

Blessed are the blind, for they can see people as they really are. Woe to those who can see, for they will constantly be tripped up by the image.

John Fischer

19 Articles about AI Bias

/

Autocorrect, Other AI Applications, Are Biased Against Rural Language Like Hunting And Fishing Terms – Above the Law 

Bias in Large Language Models—and Who Should Be Held Accountable – Stanford Law

AI’s Racial Bias Claims Tested in Court as US Regulations Lag – Bloomberg  

How AI Bias Shapes Everything from Hiring to Health Care – Oklahoma University   

AI Bias Through the Lens of Antidiscrimination Law – Vanderbilt Law  

I talked to Meta’s Black AI character. Here’s what she told me. – Washington Post 

Inducing anxiety in large language models can induce bias - Arxiv 

As AI-powered health care expands, experts warn of biases – Semafor

Meta’s AI image generator really struggles with the concept of interracial couples – CNN 

How AI reduces the world to stereotypes – Rest of World 

Tests show AI acting on Subtle stereotypes – arXiv

Black teenagers twice as likely to be falsely accused of using AI tools in homework - Semafor

Microsoft's Copilot AI Gladly Generates Anti-Semitic Stereotypes – Futurism

AI generated images are biased, showing the world through stereotypes - Washington Post 

Team develops a new deepfake detector designed to be less biased - Techxplore

What AI thinks a beautiful woman looks like – Washington Post

The Voices of A.I. Are Telling Us a Lot: stubborn stereotypes about women are re-encoded again and again – New York Times

Generative AI bias poses risk to democratic values, research suggests – Phys.org

Is AI Biased against Some Groups and Spreading Misinformation and Extreme Views? – The Brink

Expert Performance

/

Expert performance is built through thousands of hours of practice in your area of expertise, in varying conditions, through which you accumulate a vast library of such mental models that enables you to correctly discern a given situation and instantaneously select and execute the correct response.

At the root of our effectiveness is our ability to grasp the world around us and to take the measure of our own performance. We are constantly making judgments about what we know and don't know whether we're capable of handling a task or solving a problem. As we work at something, we keep an eye on ourselves, adjusting our thinking or actions as we progress.

Monitoring your own thinking is what psychologists call metacognition (meta is Greek for "about".) Learning to be accurate self-observers helps us stay out of blind alleys, make good decisions, and reflect on how we might do better next time. An important part of this skill is being sensitive to the ways we can delude ourselves. One problem with poor judgment is that we usually don't know when we've got it. Another problem is the sheer scope of the ways our judgment can be led astray.

Peter C. Brown and Henry L. Roediger III, Make It Stick: The Science of Successful Learning

13 articles about how Companies are using AI

/

The origins of our anger

/

Problems of anger begin as seed thoughts of self-pity, discouragement, jealousy, or some other negative thought. One’s thought life is the key ingredient in behavioral and emotional control; therefore thoughts prior to and during times of anger are important. Thoughts give emotional feelings prolonged existence and strength, and lead interpretation to vague emotions.

When anger feelings begin, people should “listen” to themselves think. Their minds are constantly making value judgments, decisions, and comparisons. Therefore, there always exists the opportunity to intercept anger by changing these thoughts.

Gary Collins, Counseling and Anger

19 Articles about the Dangers of AI

/

Low quality books that appear to be AI generated are making their way into public libraries – 404 Media  

AI Hallucinations: What Designers Need to Know - NN Group

AI systems with ‘unacceptable risk’ are now banned in the EU – Tech Crunch

Ultra-efficient AI won’t solve data centers’ climate problem. This might. – Washington Post

Citing ‘Shadow of Evil,’ Vatican Warns About the Risks of A.I. – New York Times  

South Carolina to Reboot Giant Nuclear Project to Meet AI Demand – Wall Street Journal  

Arrested by AI: Police ignore standards after facial recognition matches – Washington Post

AI agents’ promise to arrange your finances, do your taxes, book your holidays – and put us all at risk – The Conversation  

The soldier who exploded a Cybertruck at Trump hotel in Vegas used AI to help plan the attack – Associated Press  

A Book App Used AI to ‘Roast’ Its Users. It Went Anti-Woke Instead – Wired

The cognitive cost of AI – Fast Company  

Ex-Google CEO warns there's a time to consider "unplugging" AI systems – Axios  

Their Job Is to Push Computers Toward AI Doom - Wall Street Journal 

An AI companion suggested he kill his parents. Now his mom is suing. - Washington Post   

New Book Explores Promise and Perils of AI for Scientific Community – Anne Berg Public Policy Center  

Labelers training AI say they're overworked, underpaid and exploited by big American tech companies - CBS News

AI-generated influencers based on stolen images of real-life adult content creators are flooding social media – Wired  

The phony comforts of AI skepticism - Platformer 

Google AI chatbot responds with a threatening message: "Human … Please die." - CBS News

10 Free Webinars in the Next 10 Days about AI, Journalism, & more

/

Mon, Feb 10 - The Growing Threats to Press Freedom in the USA

What: A discussion of threats to press freedom in the United States.

Who: Kirstin McCudden, Vice President of Editorial at Freedom of the Press Foundation and Managing Editor at US Press Freedom Tracker

When: 6 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Society of Professional Journalists

More Info

 

Tue, Feb 11 - AI Innovator Collaborative

What: What’s on the horizon for AI and emerging tech and how it could touch newsrooms’ work over the next few years.

Who: Independent journalist Lindsey Mastis.

When: 3 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Online News Association

More Info

 

Tue, Feb 11 - Why Blue Sky and Threads Matter for News Organizations Right Now

What: We’ll explore the unique opportunities Blue Sky and Threads offer for newsrooms, including reaching new audiences, diversifying traffic sources, and building community engagement in a post-Twitter world. 

Who: David Arkin, CEO of David Arkin Consulting and Emilie Lutostanki, content strategist, David Arkin Consulting.

When: 2 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: New England Newspaper & Press Association

More Info

 

Mon, Feb 17 - Throughlines: New Formats in Journalism

What: Fandoms in Sports & Fashion, The New Economy of Video, Innovative News Formats, and AI’s Impact on Archives.

Who: Yasir Khan Patricia Echeverria Liras Tierney Bonini.

When: 10 am, Eastern

Where: Zoom

Cost: Free

Sponsor: Video Consortium

More Info

 

Tue, Feb 18 - 30 Minute Skills: Covering Marginalized Communities

What: Advice on covering marginalized communities in news reporting.

Who: Auditi Guha, a northwest & equity reporter/editor at VTDigger.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: New England First Amendment Coalition

More Info

 

Wed, Feb 19 - Brief, but Descriptive: Writing Effective Alt Text

What: Effective alt text can be tricky. How detailed does one need to be? Would context change the alt text? And if alt text is supposed to be brief, how does one describe complex images like artwork and research data?  This webinar will help participants learn to write effective alt text for different contexts and types of content, from simple social media posts to complex scientific and artistic materials.

Who: Melissa Wong, adjunct instructor in the School of Information Sciences at the University of Illinois at Urbana-Champaign.

When: 2 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Niche Academy

More Info

 

Wed, Feb 19 - Reporting on Children Exposed to Violence

What: Practical, implementable strategies for conducting interviews with children and young people across different age groups. Understanding the distinct ways children process and respond to trauma—which differ significantly from adult responses—is fundamental to making more informed and protective choices when working with young subjects.

Who: Katherine Porterfield is a consulting psychologist at the Bellevue Hospital Program for Survivors of Torture and a founding staff member of the Journalist Trauma Support Network; Irene Caselli, a senior advisor for the Early Childhood Reporting Initiative at the Dart Center for Journalism and Trauma at Columbia University.

When: 8 am, Eastern.

Where: Zoom

Cost: Free

Sponsor: The Dart Center for Journalism and Trauma

More Info

 

Wed, Feb 19 - New Breed of Journalism Watchdogs, Blending GenAI, History, and a “Writing Coach” Approach

What: The Journalism Watchdogs is a way to test the efficacy and usefulness of Large Language Models and AI interfaces in a context of Journalism education.

Who: Brett Oppegaard, a professor at the University of Hawai‘i at Mānoa, researches media-production processes and products at intersections of Journalism, Artificial Intelligence, Technical Communication, Rhetoric, Human-Computer Interaction, and Disability Studies.

When: 3 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Online News Association

More Info

 

Thu, Feb 20 - Immigration and Border Coverage

What: Immigration and border reporting will be a key area for reporting in 2025. Here we will hear from some programs tackling these stories, approaches they are using and some of the stories that are out there and are evolving.

Who: Kate Gannon, University of El Paso who directs BorderZine; Luis Ferré-Sadurní, an immigration reporter at the New York Times; Lourdes Cardenas, from San Francisco State University.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: University of Vermont

More Info

 

Thu, Feb 20 - Diversifying Revenue Series: Empowering sales teams in news organizations

What: How news organizations can leverage individual strengths to support sales teams and boost revenue. We’ll talk about: How to nurture a high-performing sales team by leaning into individuals’ strengths; The importance of self-awareness and emotional intelligence in news media sales; Strategies to help navigate hurdles, enhance client communication and drive higher conversion rates.

Who: Media consultant and revenue sustainability coach Richard E. Brown; The community manager for Table Stakes alumni on the API journalism strategy team, Jan Ross Sakian.

When: 3 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: American Press Institute

More Info

Unleashing AI Agents

/

Setting a bunch of A.I. agents loose on the internet could provoke a backlash. If you’re a business buying ads on Amazon, you want those ads to be seen by humans, not bots pretending to be humans.In the future, I can imagine more websites taking steps to block A.I. agents or steer them toward certain pages or products.

Right now, A.I. agents are too incompetent to be much of a threat. But it doesn’t take much imagination to envision a near future when most of the web will consist of robots talking to robots, buying things from robots and writing emails that only other robots will read.

Kevin Roose  writing in the New York Times

19 Articles about the Business of Running an AI Company

/

Google drops pledge not to use AI for weapons or surveillance - Washington Post 

Chegg bets big on the AI that nearly broke it – Semafor

OpenAI Set to Make Super Bowl Ad Debut – Wall Street Journal  

OpenAI looks across US for sites to build its Trump-backed Stargate AI data centers - Washington Post

DeepSeek AI Is the Competition America Needs – Wall Street Journal

OpenAI may reveal reasoning steps behind outputs from its AI models, will consider open source approach – Business Insider  

European AI firms encouraged by DeepSeek in scramble to catch up to US - Semafor 

The AI Spending Race Is Still On as Google Antes Up – Wall Street Journal 

Why ‘Distillation’ Has Become the Scariest Word for AI Companies – Wall Street Journal

The DeepSeek app is impressively strange. It’s clever, quirky and self-censoring — but it’s the stuff behind the scenes that really matters. – Washington Post 

SoftBank in Talks to Invest as Much as $25 Billion in OpenAI – Wall Street Journal

What to Know About DeepSeek and How It Is Upending A.I. – New York Times

DeepSeek's great news for the corporate world - Axios

Reid Hoffman Raises $24.6 Million for AI Cancer-Research Startup - Wall Street Journal

Stunning breakthroughs from China's DeepSeek AI alarm U.S. rivals – Axios  

OpenAI introduced a new tool, called Operator, that can autonomously perform tasks on the internet – New  York Times 

South Carolina to Reboot Giant Nuclear Project to Meet AI Demand – Wall Street Journal 

Google rushed to sell AI tools to Israel’s military after Hamas attack – Washington Post   

OpenAI product chief says world is "on the verge" of AI agents - Axios

21 Recent Articles about Politics & AI

/

Washington lawmakers weigh new artificial intelligence regulations - PBS

Google drops pledge not to use AI for weapons or surveillance - Washington Post 

AI systems with ‘unacceptable risk’ are now banned in the EU – Tech Crunch 

Will AI Regulation “Avoid Past Mistakes” or Just Make Different Ones? - Information Technology & Innovation Foundation 

Legal challenges await OpenAI chief as he visits India on global tour – Washington Post

The Manhattan Project Was Secret. Should America’s AI Work Be Too? - Wall Street Journal

Is China winning the AI race? – Washington Post  

Stunning breakthroughs from China's DeepSeek AI alarm U.S. rivals – Axios

The global struggle over how to regulate AI – Rest of World

South Carolina to Reboot Giant Nuclear Project to Meet AI Demand - Wall Street Journal

Trump Announces Private-Sector $500 Billion AI Infrastructure Investment – Unite 

Google rushed to sell AI tools to Israel’s military after Hamas attack – Washington Post  

China's AI keeps getting better — and cheaper – Axios

Joe Biden signs executive order to speed AI data center construction – The Verge

Sam Altman on ChatGPT’s First Two Years, Elon Musk and AI Under Trump – Bloomberg

A Book App Used AI to ‘Roast’ Its Users. It Went Anti-Woke Instead – Wired

Israel built an ‘AI factory’ for war. It unleashed it in Gaza. – Washington Post

Don’t Look Now, but China’s AI Is Catching Up Fast - Wall Street Journal  

Behind the Curtain: A chilling, "catastrophic" warning – Axios

House AI Report Lays the Foundation for a Clear, Credible U.S. Vision on AI Governance – Data Innovation

Generative AI bias poses risk to democratic values, research suggests – Phys.org