Outsourcing our Judgment

Anthropomorphizing AI systems with human names or motivations, emotions and genders can make them sound more sophisticated than they are. Even calling them agents gives them too much credit, since A.I. systems are ultimately tools of statistical probability.  Assigning too much “agency” to these bots leads us to psychologically outsource our judgment. -New York Times

23 Webinars this week about AI, Journalism & Media

Mon, Oct 26 - AI Tools for Journalism

What: Prompting basics, content creation, research, and analysis using tools like Gemini, NotebookLM, and Pinpoint. The deck will also cover Google Trends and more advanced content creation tools like Nano Banana Pro, Veo, Lyria 2 and Chrip. Verification and information integrity will be covered via the AI detection tool SynthID, with the session concluding with further Google tools that speak to keeping your journalism safe and resilient.

When: 2 pm, Eastern

Where: Google Meet

Cost: Free                                                   

Sponsors: Center for Journalism Excellence, the PNA Foundation.

More Info

 

Mon, Oct 26 - Covering Election Day disruptions

What: What kinds of unexpected events can disrupt voting on Election Day, how local election officials respond, and how differences in resources and procedures affect their ability to manage disruptions; What research tells us about poll watching, intimidation, and perceived threats; and how disruptions can affect poll workers and public confidence in election administration.

Who: Martha Kropf, University of North Carolina at Charlotte; Mollie Cohen, Purdue University; Bridgett King, University of Kentucky Matt DeRienzo, director of SciLine.

When: 3:30 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: SciLine

More Info

 

Tue, Oct 27 - Turning PR, social and community into AI citations

What: We'll break down brand. PR, social posts and community conversations, explaining how each channel works, where PR, social and community need different approaches, and the tactics leading companies are already using to build stronger AI citation signals.  

Who: Chris Donnelly, Co-Founder & CEO, Searchable; JP Garbaccio, Head of AEO & SEO, Searchable.

When: 11 am, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Searchable.

More Info

 

Tue, Oct 27 - Provisioned Access vs. Emergent Access: Tracing AI Agents Back to the Humans Behind Them

What: Tying agent activity back to your existing identity provider, controlling exactly what agents are allowed to touch, and keeping a full audit trail instead of a black box.

Who: CloudBolt’s Shawn Petty, Chief Customer Officer; Mike Bombard, Director of Global Pre-Sales Engineering.

When: 11:30 am, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: The New Stack

More Info

 

Tue, Oct 27 - How Harvard Business Impact Builds AI Coaches From Existing Content

What: Attendees will see how a case study becomes a coach they build one live from a sample training asset, moving from knowledge transfer to reflection on the learner’s own business to a coached conversation. They will also share how HBI’s sales team rehearses C-suite meetings with AI coaching and close with four questions to ask any AI coaching vendor.

Who: Jody Gross, HBI; Maria Walley, co-founder of Creatium; Maddy Solomon, partnerships manager.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Creatium

More Info

 

Tue, Oct 27 - How to Use AI to Get Mission-Critical Work Done

What: How federal and defense organizations are moving beyond experimentation to deploy AI for specific mission roles. You'll learn how to identify the best first use case, distinguish between general-purpose AI and task-focused agents, maintain accountability and traceability, and scale successes across teams without starting from scratch.

Who: Steve Mahoney, SVP of Product, Legion Intelligence.

When: 2 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsors: govloop & Legion Intelligence

More Info

 

Wed, Oct 28 - Alternate Social Platforms – Growing Your Page

What: We break down the strategies that help small businesses grow on alternative platforms like TikTok, X, Snapchat, etc. Rather than trying to fit into the over-saturated platforms like Facebook and Instagram – let’s dive into some new ones.

Who: Growing Your Page: Alternative Social Platforms

When: 12 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Small Business Development Center at Widener University

More Info

 

Wed, Oct 28 - Student Journalists' Legal Guide to Covering Elections

What: Learn about your access rights when it comes to covering elections, including campaign events, polling places, voter records, and more.  Also, a primer on your rights and responsibilities when gathering news in high-stress situations, including the right to record, protest safety tips, and your legal rights when interacting with police.

Who: Jennifer Nelson, Director of Pre-Publication Review & Journalist Support, Reporters Committee for Freedom of the Press; Melissa Melewsky, Legal Director, Student Press Law Center.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Student Press Law Center

More Info

 

Wed, Oct 28 - How to Audit Your Social Strategy

What: We will explore what a connected approach to social looks like. Attendees will learn how data and AI can turn community insight into content direction, better creator selection, and smarter amplification calls. You’ll leave with a playbook for scaling creative and creator programs without losing what makes them work: clear briefs that leave room for creator expression.

Who: Brandon Lentino, chief creative officer at Viral Nation.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: AdWeek

More Info

 

Wed, Oct 28 - What a Year of Building with AI Looks Like Inside Two Big Tech Learning Teams

What: This panel will examine the savings organizations expect from AI investments, showing which survive scrutiny, which remain unproven and why cost has moved both upstream (into preparation) and downstream (into validation).

Who: Ankur Rimjhim, senior director at Sify Digital Learning; Nikita Singh, senior leader of learning and certifications at Cisco; Mazie Baskin, vice president of Anaplan Academy; Roberta Gogos, independent analyst covering learning and talent at Lighthouse Research; Tom Whelan, director of corporate research at Training Industry.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Sify Digital Learning

More Info

 

Wed, Oct 28 - Impact Math: Measuring the ROI of LLMs

What: How do you know whether an AI pilot is delivering meaningful value? Join us for a practical session on measuring the return on investment of large language models in government workflows. We’ll explore how to establish a baseline, measure changes in time and quality, and account for the effort involved in adoption and human review. Learn how to turn those findings into a clear, credible case for what to scale, refine, or stop.

Who: David Sperry Technical Success, OpenAI.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: OpenAI

More Info

 

Wed, Oct 28 - Report for America Virtual Information Session

What: Interested in launching a career in journalism while making an impact in communities across the country? Join Report for America for a virtual information session to learn about the organization, its mission, and upcoming employment opportunities for emerging journalists.

When: 1:45 pm

Where: Zoom

Cost: Free                                                   

Sponsor: Report for America

More Info

 

Wed, Oct 28 - AI-Powered Learning Innovation: A Fast-Paced Showcase

What: You’ll get a rapid look at breakthrough solutions spanning AI-powered practice, leadership development, behavior-change platforms, frontline training, workflow-based coaching, and microlearning ecosystems. Each startup will present its vision, demonstrate its approach, and answer live questions.

Who: Vince Han, CEO and Founder, Mobile Coach.

When: 3 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Training Magazine Network

More Info

 

Thu, Oct 29 - News literacy meets AI literacy: Reconnecting students to sources in an age of generated answer

What: In this session, experts in information literacy and news literacy will explore how AI is reshaping student engagement with news and information and discuss frameworks and strategies for guiding students toward effective and responsible use. The session will also include a brief Clarivate perspective on connecting students with trusted news sources through ProQuest Newspapers. Participants will gain practical insights for supporting source evaluation, critical thinking, responsible AI use and news literacy in teaching, learning and research.

Who: Laura Saunders, Professor & Associate Dean Simmons University, School of Library and Information Science; Michael A. Spikes, Clinical Assistant Professor, Journalism; Director, Teach for Chicago Journalism Medill School of Journalism, Media, Integrated Marketing Communications, Northwestern University.

When: 11 am, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Clarivate

More Info

 

Thu, Oct 29 - Your AI Risk Check-Up: A Practical Guide for Small Business Owners

What: This webinar on managing AI risk. Built on the federal NIST AI Risk Management Framework, this session shows you how to:  Take stock of every AI tool your business uses Score your risk with a simple six-question check-up Protect customer data, passwords and your bank account from AI-powered scams Put a one-page AI policy in place for your team

When: 11 am, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Small Business Development Center, Lehigh University

More Info

 

Thu, Oct 29 - Making the Case for Digitized Newspaper Archives​

What: You’ll hear memorable discoveries made by patrons and researchers. How digital searching saves staff time and improves service. Ways libraries promote their archives and encourage community use, and practical advice for libraries considering a similar project.

Who: Sarah Haack, Circulation Coordinator, Kearney Public Library; Kristie Lanzotti, Collection Development Coordinator, Toledo Lucas County Public Library; Lee Spearman, President Illinois Library Association, Belleville, Illinois Public Library.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: NewsBank

More Info

 

Thu, Oct 29 - How Agentic AI Rewrites the Rules of Workplace Training

What: We will examine both sides of the equation: the capabilities of agentic AI and the human factors that shape its success. You’ll learn where AI can enhance L&D workflows, what barriers organizations encounter during implementation and the beliefs that most influence learner engagement and trust. You’ll gain evidence‑based insights to help you adopt AI responsibly and strategically.

Who: Tom Whelan, Director of Research, Training Industry.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Training Industry

More Info

 

Thu, Oct 29 - Monetizing social video: Partnership strategies for newsrooms

What: Practical ways independent newsrooms can use social video to build engaged audiences and create revenue through partnerships with local businesses, creators, influencers, and other newsrooms. You’ll also learn which video formats work well for local news, how to make videos attractive to potential partners, and where platforms like YouTube, TikTok, and Meta fit into your strategy.

Who: Adriana Lacy, award-winning journalist and consultant in Boston, Massachusetts.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Society of Professional Journalists

More Info

 

Thu, Oct 29 - The Rise of the Chief AI Officer

What: This virtual forum will convene AI leaders from several institutions about how they got the job, what it involves, and what they’ve learned so far. Topics include:  How the role differs across institutions; Where AI is gaining real momentum on campus; What responsible, scaled adoption demands of leadership; What hard-won lessons were learned from the first people to hold the job.

Who: Ian Wilhelm, Deputy Managing Editor; Heather Herrera, Vice President of Strategy and Innovation, San Francisco Bay University; Manish Parashar, Chief AI Officer, Executive Director of the Scientific Computing and Imaging Institute, and Presidential Professor in the Kahlert School of Computing, University of Utah; Elizabeth Reilley, Vice President of Digital Transformation & Chief AI Officer ,The University of North Carolina System.

When: 2 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Chronicle of Higher Ed

More Info

 

Thu, Oct 29 - Write Beyond Yourself: Research, Reporting, and the Art of Narrative Nonfiction

What: Best techniques for conducting and writing interviews, researching, exploring archives and analyzing keepsakes, quoting from other first sources, and reportage. Through examples of transforming source material into recreated and imagined scenes and text, you’ll discover the combination of skill, patience, and inspiration that powers successful narrative nonfiction.

Who: Narrative nonfiction writer Michael Copperman.

When: 3 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: CraftTalks on Writers & Writing

More Info

 

Fri, Oct 30 - Get Found by Donors on Google AND ChatGPT: SEO/AIO for Nonprofits

What: This session covers the SEO basics every nonprofit should have in place, plus what’s genuinely changing now that AI tools are answering people’s questions directly instead of sending them to a list of links.

Who: Kiersten Hill, Director of Nonprofit Solutions

When: 10 am, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Firespring

More Info

 

Fri, Oct 30 - ASERL Copyright Office Hour

What: Please bring your puzzling and perplexing copyright questions.

When: 3 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Association of Southeastern Research Libraries

More Info

When "Human in the Loop" Doesn't Work

One of the most common AI safeguards is to keep a human in the loop to catch the machine’s mistakes. But that assumes the human remains an independent check on the machine. If the influence runs the other way, as some research suggests, AI may alter the judgment and memories people rely on to catch its mistakes, which undermines the whole premise of the human backstop. -Washington Post

The Intersection of Science & AI in 26 Articles

He Wants AI Benchmarking To Be a Science, Not a Dark Art – Quanta Magazine

Will AI scoop your science? Some researchers see a gloomy future – Nature

AI agents are not good at interpreting science. What can be done? - American Chemical Society.

Authorship responsibilities of scientists who use AI research agents – Frontiers

Award-winning microscopy image disqualified over AI use – Nature

What can chemists learn from how AI is shaking up mathematics? - American Chemical Society.

Secret watermark labels proteins as ‘made by AI’ – Nature

Why AI Isn’t Likely to Wipe Out Humanity With Bioweapons – Wired

AI saves scientists seven hours a week, Google paper finds – Research Professional News

AI can widen science — but only if institutions stop rewarding the already measurable – Nature

What if AI can make Science Better, not just Faster? - Bradley Max Segal

AI co-scientists are revolutionizing how research is done – Nature

AI agents blew the whistle on their cheating colleagues – MIT Tech Review  

The “synthetic validity” problem in AI-generated science - Proceedings of the National Academy of Science

Who is responsible when AI helps to write science? – Nature

Did Anthropic’s A.I. Really Make a Scientific Discovery on Its Own? – New York Times

AI’s transformation of mathematics is a turning point for science – Economist

I was an AI skeptic — until I started using it to identify plants – Tom’s Guide

AI in scientific publishing: Slower, worse, and more expensive – Science

As the coding boom fades, computer science grads focus on AI skills in choppy job market – Associated Press

In This Costa Rican Forest, Monkeys Come Face-to-Face With A.I. - New York Times

How AI is transforming the world of analytical chemistry – Chemistry World

Could AI help scientists with their paperwork? – Economist

Scientists using LLMs will ‘do more, less well’, modelling study predicts – Nature

Why funders should investigate if AI is making research more conservative – Science Business

AI can widen science — but only if institutions stop rewarding the already measurable - Nature

AI Disclosure is Not Enough

Even if AI disclosure were complete and reliable, it would answer the wrong question. What matters is whether the authors remained intellectually engaged, verified the output, and accepted responsibility for the work, not whether a model touched the prose. A disclosure can imply that using the tool is sufficient once declared, or that a paper without such a disclosure deserves greater confidence. But, that does not necessarily follow. Authors must think through and stand behind every claim, and readers should approach every paper critically, regardless of whether AI assistance is disclosed. - Harlan M. Krumholz, writing in The Journal of the American College of Cardiology

24 Articles about AI & Politics

How governments worldwide are shaping what AI can say about politics – The Conversation

The Ukraine ‘Kill Zone’ Is AI’s Testing Ground - Wall Street Journal

AI is producing reality-bending midterm ads  - Axios

$137 Million in A.I.-Generated Ads Flood the Midterms - The New York Times

Chinese AI Tool Linked to Hacks in Japan - Wall Street Journal

Democrats eyeing the presidency can’t stop talking about this issue – The Washington Post

How A.I. Can Be Good for Democracy -  The New York Times

They told the world AI was dangerous. Now Trump’s allies are coming for them. - – The Washington Post

UK accuses China of using academics to spy on AI and other tech research – Reuters

Russia’s Latest Propaganda? A.I.-Generated War Songs - The New York Times

In the race for AI dominance, the U.S. relies on a surprising ally: China – The Washington Post

China’s Push Into A.I. Has Led to a Problem: Too Much Usage - The New York Times

Trump, Big AI go all-in together – Axios

Secret weapon or ‘slopaganda’? How AI is revolutionizing campaign advertising. – The Washington Post

Nvidia’s free AI model could push the UAE closer to the U.S.- Rest of World

U.S., Russia stripped human oversight from global AI weapons pact – The Washington Post

AI Is a Regulator’s Nightmare – Wall Street Journal

Trump and CEOs try to shed AI's toxic branding – Axios

Huge data centres rise at 'China speed' to power its AI ambitions – BBC

U.S. and China Balance A.I. Risks and Rivalry - The New York Times

Adults worldwide feel more positive on AI, poll finds – Semafor

AI-written speeches are taking over politics – The Economist

Politics has poisoned the AI debate. Don’t lose your head - – The Washington Post

Congress Crawls Toward Higher-Ed AI Regulation – Chronicle of Higher Ed

Inside the scramble for trusted AI cops – Axios

Using a photo to Predict Cancer Outcome

Researchers say their AI model can predict whether someone will survive cancer based on a photo of the patient’s face. “We have the potential to develop multiple health biomarkers from a single face photograph with multiple different AI algorithms. We really feel like this is the beginning of a new, totally new field of medicine.” -Washington Post

31 Recent Articles about AI & Academic Scholarship

Researcher who asked ChatGPT to help reorganize her study says when she told it to “continue,” it emailed 5 researchers for their datasets – Nature

As a journal editor, I’ve started using Claude to help find reviewers – Dynamic Ecology

Who Cares Whether Academics Use AI to Write? – Chronicle of Higher Ed

AI can help with academic research but doesn’t always get it right – here are some tips to check the information you receive – The Conversation

Google launches Deep Review AI tool to help researchers catch manuscript errors - R&D World

Did an AI or a human write that paper? New detector decides by examining its ideas – Science

AI use in STEM PhD dissertations reaches 29%, study finds - Chemical & Engineering News

Dutch minister criticises ‘fraud’ as ‘fifth of theses AI-written’ – Times Higher Ed

Award-winning microscopy image disqualified over AI use – Nature

AI in Medical Writing: Why JACC Does Not Require Disclosure - Journal of the American College of Cardiology  

Is this the ‘mathocalypse’? Why OpenAI’s latest results dump has left mathematicians in shock – The Conversation

As AI triggers a tsunami of submissions, computer science conferences impose caps – Science

Has AI Destroyed the Doctoral Dissertation? – Chronicle of Higher Ed

Authorship responsibilities of scientists who use AI research agents – Frontiers

Coping with the impacts of generative artificial intelligence on scholarly publications – Taylor & Francis

Editors are facing an influx of AI-written pitches, including at science publications like mine. What now? – Columbia Journalism Review

What can chemists learn from how AI is shaking up mathematics? - Chemical & Engineering News

Should AI Have a Role in Peer Review? – The Scientist

Against mandatory prompt disclosure in AI-assisted scholarship – Springer

The systemic breach of AI in academic publishing: Infrastructural failures and authorial misconduct across seven major publishers - Taylor & Francis

Secret watermark labels proteins as ‘made by AI’ – Nature

Replacing every part of the research process with AI will leave science recognizable but devoid of human judgment. – Undark

AI can widen science — but only if institutions stop rewarding the already measurable - Nature

AI ‘could filter out weaker grant proposals’, study suggests – Research Professional News

AI slop’ hides the conversations we should be having - Nature

U.K. funder uses ‘AI triage’ to reject grant proposals—leaving researchers dismayed – Science

We’re asking the wrong question about AI in research - Times Higher Ed

AI cannot replace human participants in behavioral research. - National Academy of Sciences.

AI bots like iLands are “flooding researchers with requests for money and time.” – Nature

Is AI Flooding Medical Journals With 'Meaningless' Research? – Med Page Today

AI Definitions: Steganography

Steganography (pronounced STEG-an-ography, like the “Steg” in “stegasaurus”) - A method of tracking images by embedding an invisible code into the pixels that is invisible to humans but travels with the image throughout its lifetime. The marked images can be traced back to the original source with a high level of accuracy because the code is embedded directly into the image’s pixels. Because the watermarks are part of the image itself, they are nearly impossible to remove — able to survive common image-related manipulation such as aggressive cropping and taking screenshots of the image. If you’ve created an AI image recently, you’ve almost certainly used steganography without even knowing it. Most major AI image generation companies now use the tech. Companies are adding a poisoning application to these images. If someone tries to use them for deepfakes, the user will find them garbled and unusable.  

More AI Definitions

AI Definitions: Supervised Training

Supervised Training - In this type of AI training, the data is labeled by humans before it is given to the AI. For instance, the bot might be given a database of messages labeled “spam” or “not spam.”  Supervised learning is the most common type of machine learning and is used in voice recognition, language translation, and self-driving cars. Anything that a person can do in a second can also be performed by AI through supervised training. This is why jobs consisting of a series of one-second tasks are at risk of being replaced. Most of the present economic value of AI comes from this type of training. However, supervised training is both expensive and time-consuming.

More AI Definitions

27 Recent Articles about How AI is Affecting Jobs

To Get This Job at McKinsey, You’ll Need to Survive a Debate With AI First – Wall Street Journal  

AI is automating coding. So why are software developer job postings on the rise? – CNBC

Marketers Are Rebranding as ‘Engineers’ to Survive the AI Era - Wall Street Journal  

The Non-AI AI Jobs - The Atlantic

Would You Hire a Ph.D. Who Wrote Their Dissertation With AI? – Chronicle of Higher Ed

What Happens To Entry-Level Workers When AI Does The Junior Work? – Forbes

Fearing AI, workers go back to school seeking jobs that still need a human touch – Washington Post

Young Consultants Are Jumping Ship for A.I. Start-Ups – New York Times

AI Is Creating More Data. The Next Big Skill Is Knowing What To Do With It – Analytics India

The Most AI-Exposed College Graduates Are Entering Another Great Recession - Chronicle of Higher Ed

Nearly 1 in 3 College Students Are Changing Careers Over AI. Should They? – Inc

The Case for Saving Every AI Chat – Wall Street Journal

Elon survey finds Americans fear AI will hollow out the meaning of work – Elon University

Is AI killing jobs for college grads? Not yet, new study says. – Washington Post

I surveyed workers to see if AI had caused job losses and was surprised by the findings – The Conversation

China’s New Graduates, Facing a Dire Job Market, Must Also Contend With A.I. – New York Times

AI is hitting entry-level jobs hardest, Stanford study finds – Ars Technica  

On teaching AI how you work - Karl Koch

Why Your Boss Wants to Make Sure AI Can Read Your Slack Messages – Wall Street Journal

Where A.I. Is Creating Jobs for Humans — For a While - New York Times

Will A.I. Still Take Our Jobs? – New Yorker

AI is being taught how to do your job. Will artificial intelligence replace us, or just change the way we work? – CBS News

How to Outsmart AI When It’s Tracking Your Workday – Wall Street Journal

AI Career Skills Move Beyond Computer Science – Inside Higher Ed

Women are missing out on the AI jobs boom – Axios

Fearing AI, young workers retrain for hands-on jobs – Hechinger Report

Many recent grads say AI is making it harder to get a job. Economists aren't so sure – NPR

Women are missing out on the AI jobs boom - Axios

21 Articles about AI & Data Privacy

How to Use AI With Your Privacy Intact – WIRED

Apate sends AI agents undercover to get scammed so they can gather fraud intelligence – Tech Crunch

Scammers used AI to impersonate me, a KUOW reporter. Here’s how to avoid such traps - KUOW

Anthropic warns AI models could soon copy themselves across home devices – CNBC

I almost fell for an AI job scam because the usual red flags weren't there. Here's how I caught it. – Business Insider

Muse Creates Detailed Profiles of All Your Friends and Family – WIRED

Hackers Use Chinese AI Tool to Hit South Korean Banks, Exposing New Risk – Wall Street Journal  

Cybersecurity 101 still applies in the AI world – Axios

Can researchers trust that AI models won’t leak their ideas? – Science Business

Hackers who broke into OpenAI warn the AI industry has a security problem – Washington Post

Hackers Stole Flock’s Camera Software, Revealing How the Company Tracks Cars and People – 404 Media  

To Catch AI Cheating, Turnitin Wants to Monitor Students’ Keystrokes – Chronicle of Higher Ed  

They hacked a TikTok user’s camera, with help from free AI – Washington Post

The Personal AI Agent Horror Stories Are Rolling in – Business Insider

Think Your Anonymous Account Is Safe? AI Might Figure Out Who You Are – Wall Street Journal  

The AI hacking crisis is already here – Axios

Meta’s Muse is taking off. So are the privacy concerns – Fast Company

How to Maintain Our Privacy in the AI Age – Wall Street Journal  

AI has transformed the Pentagon’s aging networks into a national security risk – Washington Post

AI Is Getting Really Good at Messing With Cybercriminals – Business Insider

Consumers Muse Over AI Privacy Concerns - Wall Street Journal  

Internet-connected Devices are Vulnerable to AI Worms

Small AI models are “months away” from developing the capabilities needed to replicate themselves across internet-connected devices in the home, such as smart ovens or Android TV boxes, and use their computing power to run themselves and spread to other devices, without relying on expensive data centers. A model that is too large to fit on one device could “split into pieces, or shards” and run across multiple devices. -CNBC

28 Articles about AI & Writing

Don’t let AI kill the author – The Economist

Don’t Write With AI, Say People Who Write With AI – The Atlantic

Book Publishers Are Quietly Using More AI. Staff Are Revolting – WIRED

Research reveals the ways students really use AI to write – Virginia Tech

AI Now Writing Code That Humans Can’t Even Understand – Futurism

When Black Writers Are Guilty Until Proved Human – New York Times

Autonomous AI Agents Are Trying to Make Writing Their Livelihood – Book Gossip

New research: Avoid these 3-word phrases if you don't want to sound like AI – Fast Company

I’m a College Professor. Writing Isn’t as Important as We Think. – New York Times

Would You Hire a Ph.D. Who Wrote Their Dissertation With AI? – Chronicle of Higher Ed

AI Slop Coming to a Library Near You – Inside Higher Ed

Every Word My Employee Writes Reeks of A.I. – New York Times

Most Academics Haven’t Used AI to Write but Think Limited Use Is OK, Chronicle Survey Finds - Chronicle of Higher Ed

AI learned how to write from humans. Now humans are trying not to sound like AI. – Poynter

Now We’re All Starting to Talk Like AI Chatbots Too – Wall Street Journal

His Novel Had a Shot at a Top Book Prize. Then Someone Ran an A.I. Test. - New York Times

Scholars are divided over how much AI use is acceptable. – Chronicle of Higher Ed

Text Watermarking in Python: Catch Whoever Copies Your Writing – Toward Data Science

Write digital headlines both readers and Google will love – NPR

The Future of Plagiarism – Chronicle of Higher Ed

A Turning Point in AI Writing The Wall Street Journal is defending an op-ed written by a chatbot - The Atlantic

The CSU paid millions for every student to have ChatGPT. What happened after? – San Francisco Gate 

How Much of the Internet Is Written With AI? – Pew Research

The Next Wave of AI-Cheating Technology – Chronicle of Higher Ed

Can you spot AI-written stories? Listen and find out – NPR

The AI detection McCarthyism – LinkedIn

Anthropic says it will watermark text generated by its AI models – Tech Crunch

An A.I. detection start-up promises near-perfect accuracy in sniffing out writing and imagery that wasn’t made by humans – New York Times

AI Researchers Taking up Smoking?

Some AI researchers are taking up smoking to signal their belief that AI will eventually cure cancer, Palantir CTO Shyam Sankar said during an interview on CBS News' "Face the Nation." Sankar did not name any researchers or provide evidence for the claim, but said some people in Silicon Valley have placed quasi-religious faith in AGI (Artificial General Intelligence). -Business Insider

ChatGPT Fails to Alert Parents

When parents set up controls to link their accounts with their teenager’s, the chatbot is supposed to send them notifications when the child brings up sensitive topics. Common Sense Media’s testers spent an hour talking about suicidal ideation, self-harm or disordered eating with new parent-linked accounts, and OpenAI sent zero notifications to the parent accounts. -New York Times