Ideas that challenge / comfort / inspire
Stephen Goforth
Python - A popular programming language choice for data scientists, used to building machine learning, data analytics, and data visualization. The Python language is often used to automate tasks. Its name comes from “Monty Python’s Flying Circus” and is built around communication and collaboration rather than individualism.
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
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
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
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.
At least twice in the past five weeks, researchers have said that they had been working for an extended period on a particular research question, only to learn that AI companies had either answered the question before them or announced results before they were ready to do the same. -Nature
What: A 60-minute working session on building a prompt set that shows what buyers ask, where you're visible, where competitors win, and what to track next.
Who: Chris Donnelly, Co-Founder & CEO, Searchable.
When: 11 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Searchable
What: Tapp Network will walk through how nonprofits are using AI-powered workflows to automate their most time-consuming operational tasks. Topics include: What a workflow is and how it functions; Which nonprofit processes are the best candidates for automation; How to get a workflow running without a technical team
Who: Aretha Simons, TechSoup’s Webinar Producer.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: TechSoup
What: Practical frameworks for adapting text-based reporting into short-form vertical video, multimedia carousels, and other visual formats. You'll learn which formats work best, the accessible tools to create them, and how to make smart creative choices from pitch to publish. You'll leave with templates and repeatable approaches for your own work, no video or design background required.
Who: Social and video expert Casey Silvestri.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Online News Association
What: Attendees will leave able to identify realistic entry points for arts integration in a full schedule, explain how a skill-progressive pathway differs from a one-off art project, navigate the site and pull a ready-to-teach lesson in minutes, and adapt lessons across grade bands and content areas.
Who: Courtney Berolzheimer, Program Director for Blackwing Foundation.
When: 4 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Blackwing Foundation
What: How do we help students build digital literacy skills that hold up with the growing volume of online information and AI-generated content? In this edWebinar, we'll work through AI output, headlines, and search results together, look at the checks students can run on their own, and share resources you can use with your students.
Who: Brian Thomas, Former Educator, Current Learning Designer, TCI; Loyal Frazier, Former Educator, Current Professional Development Manager, TCI.
When: 6 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Teachers’ Curriculum Institute (TCI)
What: This is a practical, interactive conversation designed for executive directors, staff, board members, and volunteers who want to understand what AI can realistically do in a nonprofit setting. You’ll see simple demonstrations and real examples, and you'll have a chance to share your experiences, challenges, and insights with the group.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: TechSoup
What: Learn how to report on the effects of immigration on mental health with greater context, accuracy and care. This free webinar explores trauma-informed interviewing, ethical storytelling and practical reporting strategies.
Who: Kerwin Speight Faculty, Poynter; Almudena Toral, Executive Producer, ProPublica.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Poynter Institute
What: You'll learn: Where to find sources; Relationship building; Maintaining sources after the campaign is over.
Who: Kelly Garrity, The Boston Globe.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: New England First Amendment Coalition
What: We break down the strategies that help small businesses grow on YouTube and how to access certain things within the platform.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Small Business Development Center, Widener University
What: We will walk through exactly where vanilla Postgres starts to strain under scale, what changes structurally when you extend it with TimescaleDB, and via a live demo what actually breaks at scale versus what doesn’t. Plus, you’ll leave with a concrete scorecard for your own systems.
Who: Tiger Data’s Matty Stratton; Kim Fessel, TNS.
When: 12:30 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: The New Stack
What: This class is designed for authors and small publishers who want to incorporate AI into book marketing efforts but not defer to it entirely and let it take over.
Who: Beth Kallman Werner, Advisor to the Next Generation Indie Book Awards, a Partner Member of the Alliance of Independent Authors, and Author Connections has earned the coveted Seal of Excellence from the Association of Independent Authors.
When: 1:30 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Author Learning Center
What: A practical approach to promoting AI literacy within libraries, with an eye towards equipping each library patron with answers to these questions and more.
Who: Brady Lund, Assistant Professor of Information Science at the University of North Texas.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Niche Academy
What: Explore what a prose poem is and what it isn’t, the different types of prose poems, and what makes a great prose poem. We’ll analyze examples and write drafts based on thought-provoking prompts. You’ll leave this workshop with a new appreciation for prose poems, fuel for your writing inspiration, and at least one new draft of your own.
Who: Bethany Jarmul, an Appalachian writer, poet, writing coach, and enthusiastic, engaging, and inspiring workshop instructor.
When: 3 pm, Eastern
Where: Zoom
Cost: $30
Sponsor: CraftTalk
What: This session looks at what AI can do well today, what is emerging next and what that means for instructional video workflows.
Who: Matthew Pierce Learning & Video Ambassador
When: 11 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Camtasia
What: You’ll learn to use AI tools to sharpen your message, generate campaign ideas, and create content that sounds like you. Walk away with a practical marketing plan and ready to use content you can put to work immediately.
When: 12 pm, Eastern
Where: Zoom
Cost: $20
Sponsor: Small Business Development Center, Widener University
What: Whether you're AI-curious or AI-skeptical, you'll leave with a clearer understanding of what AI actually is, and concrete ways to start using it in your role tomorrow.
When: 12 pm, Eastern
Where: Zoom
Cost: Members Only
Sponsor: TechSoup
What: We’ll cover: Why storytelling matters; Brand voice and tone; Four proven narrative frameworks; The seven elements every great nonprofit story needs.
Who: Kiersten Hill, Director of Nonprofit Solutions.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Firespring
What: This is a practical, no-jargon primer on the handful of fixes that matter most — captions, alt text, contrast, clear structure — and why getting them right isn’t just about compliance, it’s about not losing donors and volunteers who simply couldn’t use your site in the first place.
Who: Jennie Martin, Front-End Development Manager, CPACC, DHS 508 Trusted Tester.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Firespring
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.
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
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
People should not view A.I. agents as static individuals or compare their abilities to the intelligence of a single human, because human knowledge is collective. Agents may soon go from one-on-one conversations to more collective social interactions, where agents outnumber humans. -New York Times
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
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
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
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
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
Rising Seas Are Gobbling Up Beaches Around the World. A.I. Might Restore Them. – New York Times
Chatbots are still falling short in mental health conversations with kids – Washington Post
I Gave My Life Over to Meta’s A.I. Agent and Was Blown Away – New York Times
It’s All Fun and Games Until You Give AI Your Credit Card – The Atlantic
Claude users in northern Yemen, territory controlled by Iran-backed Houthi rebels, tried to use the AI model to develop advanced missiles. – Associated Press
Why AI has trouble predicting the intensity of hurricanes – Washington Post
AI chatbots are offering financial advice. Should you trust them? – NPR
Why Edward Jones thinks AI can defuse a demographic time bomb – Semafor
Chatbots Are Replacing Therapists With Little Scientific Evidence Behind Them – Wall Street Journal
Ford rehires ‘gray beard’ engineers after AI falls short – Yahoo News
Is AI Good at Stock-Market Timing? A New Study Casts Doubt – Wall Street Journal
Can AI Predict Satellite Failures Before They Happen? The US Air Force Wants to Find Out – Military.AI
With AI now reading student names at graduation, not everyone is applauding – Washington Post
AI agents are now cold-emailing writers, researchers, and journalists asking for real money in exchange for their services, which range from fact-checking and editing to reportedly more absurd offerings, such as using Google Street View to describe what is on Google Street View –Book Gossip
What: A conversational session designed to help you confidently clear the digital clutter. We'll walk through a simple, step-by-step approach—assess, govern, then adopt—to help you figure out exactly what data you need to keep and what you can safely stop storing. You'll leave with practical examples tailored to different nonprofit roles and the exact blueprint to create a simple "data asset inventory" with your team this month.
Who: Angie Gelinas, The Nonprofit Chamber; Christa Hill, Tacit Edgenuity.
When: 11 am, Eastern
Where: Zoom
Cost: Free
Sponsor: TechSoup
What: An introductory seminar for small business owners who want to better understand how AI can support their business.
Who: Ken and Kristie Healy, PMF Industries Inc.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Small Business Development Center, Penn State
What: Learn how agencies can establish trusted data foundations that improve AI accuracy, transparency, and accountability. Experts will share practical strategies for creating a single source of truth that supports responsible AI adoption, stronger governance, and better mission outcomes.
Who: Natalie Buda Smith, Director of Digital Strategy (Artificial Intelligence and Innovation), Library of Congress; Jerred Edgar, Chief Information Security & Operations Officer, Idaho; Ryan Palmer, Architecture Lead for AI Services, General Services Administration; Brian “Stretch” Meyer, Federal Field CTO, Axonius Federal Systems.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: govloop
What: This session explores where AI can support medical researchers and writers—and where human oversight remains essential.
Who: Hami Lee, Postdoctoral Researcher, Department of NeuroPsychiatry, Dongguk University Hospital; Vasundara BN, Project Manager, Cactus Communications.
When: 3 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Editage
What: We will walk through the six architectural requirements that distinguish AI systems stuck in the pilot phase from those that are operating reliably at scale: semantic clarity, entity resolution and relationships, temporal awareness, auditability and governance, agentic integration, and unified persistence. Each requirement is grounded in real production patterns, including how financial services and clinical research organizations have used a contextual data layer to compress manual work that once took weeks into minutes.
Who: Ravi Marwaha, COO and Chief Product & Technology Officer, Arango.
When: 11:30 am, Eastern
Where: Zoom
Cost: Free
Sponsor: The New Stack
What: Join us as we break down the strategies that help small businesses grow on Facebook
Who: Zachary Piotti, Marketing Consultant & Process Innovation.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Small Business Development Center, Widener University
What: Come join us to watch how Adobe Learning Manager's Agentic AI architecture and tools actively: Create instructionally sound courses from scratch using natural conversation with AI. Build personalized learning journeys based on learner goals, skills, role, and proficiency Enable learners to practice real-world conversations and receive AI-powered coaching and feedback Deliver answers, recommendations, reporting insights and learning support through natural conversations Reduce manual admin effort with intelligent support for tasks, reporting, and operations.
Who: Allen Allen Partridge, Director of Digital Learning Evangelism, Adobe Digital Learning Solutions; Justin Seeley, Learning Evangelist, Adobe; Sharath Ramaswamy, Principal eLearning Evangelist, Adobe; Alistair Lee, Principal Evangelist, Adobe.
When: 3 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Adobe Learning Manager
What: You'll learn: Why embracing AI matters for nonprofits today; Real examples of AI in action at mission-driven organizations; Simple, everyday ways to start using AI in your daily work; How to move past the hype and confusion to practical application.
Who: Wayne Elsey, founder and CEO of Elsey Enterprises.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: TechSoup
What: Learn how to launch a podcast without a dedicated audio team, choose affordable equipment and workflows, repurpose existing reporting into compelling audio stories, and create a format that strengthens audience loyalty and reaches new listeners.
Who: Justin Brady, host of The Justin Brady Show.
When: 1 pm, Eastern
Where: Zoom
Cost: $35
Sponsor: iMediaCampus
What: Learn how keeping organized can help keep you safe, how to spot common scams and help protect yourself, and what to do if you or a loved one is impacted by fraud or identify theft.
Who: Antonio Elias, JPMorganChase.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsors: JPMorganChase & National Association of Hispanic Journalists
What: Participants will learn how to assess and mitigate risks throughout an election assignment, including preparing for coverage at polling places, campaign events, and vote-counting locations; recognizing warning signs of political violence; and responding to coordinated misinformation and disinformation targeting their work. The session will also explore practical approaches to managing digital threats, from surveillance and device security to protecting sensitive information and communicating safely with sources.
Who: Hanaa Rifaey, Deputy Director, Online News Association.
When: 3 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: International Woman’s Media Foundation
Interpretability (or interpretable AI and similar but not the same as explainability or explainable AI) The study of how to understand and explain the decisions made by artificial intelligence (AI) systems in order to audit them for safety and biases. It is a key ingredient of human-centered design because a more transparent model is usually more trustworthy— it's easier to verify and evaluate,, and easier and quicker to debug and optimize. However, this transparency into its inner workings can impact performance, especially when dealing with complex models, like neural networks. Interpretability techniques include decision trees, linear regression, scalable Bayesian rule lists, etc.
AI nonprofit will spend $10 million on journalism – Semafor
“Uber agents,” undercover AI personas, and other ways newsrooms are using AI in investigations -– Harvard’s Nieman Lab
In Winchester, The Truth About A Local News Website Is The City’s Best-Kept Secret – WHRO
Two 23-year-olds used AI to create a daily audio briefing. It’s now the top news app in Argentina. – Harvard’s Nieman Lab
Prism News shuts down network of more than 200 AI-generated local news sites – Interlochen Public Radio
Write digital headlines both readers and Google will love – NPR
How publishers are rethinking audience engagement: Five takeaways from the Future of Media Technology Conference - Harvard’s Nieman Lab
An online newspaper covering SF is made up entirely of AI reporters. – Mission Local
Fake Forbes websites and the PR agency offering guaranteed coverage – at a price – Press Gazette
Oh Lord, AI Reporters Are Actually Breaking Big News – WIRED
A record-breaking eight Pulitzer awardees disclosed AI use this year -– Harvard’s Nieman Lab
AP updates newsroom standards for artificial intelligence - The Associated Press
How to Develop AI Guidelines – CJR
AI shows promise in the fight against fake news – Knowable Magazine
Now we’re getting AI fake news complaining about how AI fake news is the death of real news - Harvard’s Nieman Lab
The CNN-Perplexity Lawsuit Is Not Just Another AI Copyright Case – Data Innovation Center
AI reshapes newsrooms as journalists navigate accuracy, ethics – Cherokee Phoenix
Ethical questions about health AI? The AMA has guidance - AMA
Genomics addressed its ethical concerns, AI can do the same – Financial Times
Who Gets to Decide A.I.’s Moral Code? – New York Times
Ethics journal retracts paper by high school student for AI, peer review manipulation – Retraction Watch
Ethics of artificial intelligence – Reuters
AI ethics and governance: Where will you draw the line? – MIT
Opinion: Why philosophy matters rather more, not less, in the age of A.I. – Salt Lake Tribune
I’m an AI ethicist accused of AI plagiarism. Now what? – Technical.ly
Ethical questions about health AI? The AMA has guidance - AMA
Pope, urging AI regulation, warns some weapons now beyond human control – Reuters
Should journalism have an industry-wide ethics policy for covering artificial intelligence? – Objective Journalism
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