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.

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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

AI Agents as a Collective

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

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

13 Things People are Trying to Get AI to Do

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 Making Writing Pitches

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

11 Webinars this week about AI, Journalism & Media

Tue, Oct 13 - Less Data, Less Risk: How to Safely Manage Your Nonprofit's Data in the Age of AI

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

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Tue, Oct 13 - AI for Small Business: Getting Started

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

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Tue, Oct 13 - Is Your AI Trustworthy?

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

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Wed, Oct 14 - AI in Medical Writing: How Far Can You Go with AI? 

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

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Wed, Oct 14 - Six Data Requirements to Get Your AI Agents from Demo to Production

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

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Wed, Oct 14 - Facebook – Growing Your Page

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

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Wed, Oct 14 - Agentic AI, Demonstrated: The New Baseline for Learner Expectations

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

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Thu, Oct 15 - Take the Mystery Out of AI: Practical Tools for Nonprofit Impact

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

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Thu, Oct 15 - Practical Podcasting for Small Newsrooms: Turning Local Reporting into Audio That Builds Audience

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

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Thu, Oct 15 - Ways to Help Avoid Fraud & Scams

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

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Thu, Oct 15 - Virtual Safety Training on Risk Mitigation and Digital Security

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

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AI Definitions: Interpretability

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.

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18 Recent Articles about AI & Journalism

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

A new book argues that news organizations should enthusiastically adopt AI to improve their journalism. Critics aren’t so sure. – CJR

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

13 Articles about AI & Ethics

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

Institutional support for ethical AI adoption in higher education amid the rising trend of manuscript retractions – Nature

AI Ethics: What It Is, Why It Matters, and More – Coursera

New AI Writing Indicators

New research finds AI writing style choices employed more often than humans includes “significantly greater lexical diversity, longer words, formulaic closes, higher word counts, and increased use of commas. Meanwhile, the most stereotypical tell of AI writing—overuse of em dashes—has all but disappeared from current models." - Fast Company

28 Articles about AI Fakes

Detecting deepfakes, in a world where even reality is suspect – CBS News

The body image battle is real in 2026, but the bodies may not be – Axios

Could you spot an AI-powered scam? See if you can tell what’s real – Associated Press

Sony Music has now asked platforms to remove more than 260,000 AI deepfakes imitating artists like Harry Styles, Adele, and Michael Jackson – Music Business Worldwide

9 in 10 Americans have encountered a cyber scam as AI fuels fraud, Consumer Reports finds – CBS News

Pangram Has Emerged as the Gold Standard of AI Detection. Should You Trust It? – WIRED

Man Used Poisoned Google AI Overviews to Trick Women Into Thinking He Was an NFL Player, FBI Says – Futurism

Can we vaccinate people against scams? Researchers are testing new ways to fight online fraud – Scientific American

AI messaging scam costs Italy's top bank Intesa millions, sources say – Reuters

Manhattan district attorney seizes a dozen celebrity deepfake websites – ABC7 New York

Mark Cuban says Facebook knowingly runs AI deepfake scam ads as Meta docs reveal $16 billion in fraud-linked revenue – Yahoo News

AI is eating website traffic, websites are blocking AI – and reliable information is getting harder to find – The Conversation  

New research: Google's AI Overviews reinforce some conspiracy theories -  PhysOrg

AI scam targeting owners of lost pets – Fox5 New York

Artificial intelligence dating scams move beyond fake profiles to entire fake apps – KSL-TV

Audio Deepfakes Are Here: How to Protect Yourself From AI-Impersonation Scams – CNET

The AI detection McCarthyism  - LinkedIn

AI audio deepfakes are leading new ai-impersonation scams – Mashable

Company Offering ‘100% Human-Written, Never AI’ Medical Research Is Entirely AI – 404 Media

When AI Grandmas Go Viral, What Even Is Reality Anymore? (podcast) – Wall Street Journal

How To Spot An AI-Generated Video Before Sharing It -  Forbes

LinkedIn adds a button to report AI-generated ‘slop’ – Tech Crunch

See if you can spot an AI deepfake with our test – BBC

AI shows promise in the fight against fake news – Knowable Magazine

This font uses an optical illusion to hide from AI -  PopSci

Banks warn AI shopping bots raise scam, fraud and data-privacy risks – Reuters

Scammers using AI and obituaries to target loved ones - WXIN/WTTV

As AI political deepfakes go viral, lawmakers struggle to keep up – The Conversation

AI Definitions: Big Data

Big Data - Data that’s too big to fit on a single server, unstructured and fast-moving. In contrast, small data fits on a single server, is already in structured form (rows and columns), and changes infrequently. If you are working in Excel, you are doing small data. Two NASA researchers (Michael Cox and David Ellsworth) first wrote in a 1997 paper that when there’s too much information to fit into memory or local hard disks, “We call this the problem of big data.” Many companies end up with big data not because they need it, but because they haven’t bothered to delete the data that has become irrelevant. Thus, big data is sometimes defined as a condition where the cost of keeping data around is less than the cost of figuring out what to throw away.

Big Data serves large-scale web applications and vast sensor networks. Data science, meanwhile, looks to create AI models that capture underlying patterns in complex systems and then turn those models into working applications. Although big data and data science both offer the potential to produce value from data, the fundamental difference between them can be summarized in one statement: collecting does not mean discovering. Big data collects. Data science discovers.  

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15 Articles about Relationships with AI

A.I. Anxiety Is Spilling Into the Therapist’s Office – New York Times

Your new AI friend is adorable. It also wants your data – Yahoo News

The Middle Schoolers Ditching Real Friends for AI Chatbots – Wall Street Journal

How deep do AI relationships really go? An expert in attachment theory explains – The Conversation

Chatbots are still falling short in mental health conversations with kids – Washington Post

The Dead Silence of AI Therapy – The Atlantic
‘I’m listening hard’: Teens increasingly turn to AI chatbots for mental health support – inewsource

What happens when your parent falls in love with an A.I. chatbot? - New York Times

She told no one about her agony except ChatGPT. What her death reveals about AI risks – NPR

New data shows people are getting personal with AI - Washington Post

If an AI bot says 'I love you,' does it mean it? 'Artificial Intimacy' book explores AI relationships – WBUR

How AI Advice Is Undermining Eating-Disorder Therapy - Wall Street Journal

Gen Z dating apps like Ditto ditch swiping in favor of AI matchmaking - TechCrunch

Humans can’t have ‘genuine’ relationships with AI, says psychotherapist—and when some try, new research shows they feel less well - CNBC

China Wants More Babies—So It’s Cracking Down on Chatbot Love Affairs - Wall Street Journal

18 Webinars this week about AI, Journalism, & Media

Mon, Oct 5 - AI Lies, Packets Don’t! Using Network Data To Stop AI Attacks

What: In this session cyber defenders will learn how they can tap into familiar network tools to fight back against even the most sophisticated AI attacks.

Who: Laura Wilber, Sr Analyst, Office of the CTO, Enea; Will Baxter, Head of Product, Team Cymru.

When: 9 am, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: TechTarget

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Mon, Oct 5 - Before You Adopt AI: Five Questions Every Nonprofit Should Answer First

What: This session explores a practical approach to thinking about AI readiness and offers a roadmap for beginning mission-aligned conversations that support responsible adoption.

Who: Molly Terbovich-Ridenhour, AMR, in partnership with Consultants for Good.

When: 11 am, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Nonprofit Learning Lab

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Mon, Oct 5 - A paper tiger for the press: Why ‘independent’ editorial boards can’t protect journalism

What: We'll discuss the Paramount News Editorial Independence Board, what lessons can be learned from similar past boards, and whether the government's role in creating the Paramount board and possibly enforcing its activities violates the First Amendment.  

Who: Mariel Garza, co-founder and executive editor at Golden State and former editorials editor at the LA Times; Bill Grueskin, professor of professional practice at Columbia University School of Journalism and former deputy managing editor at The Wall Street Journal; Margaret Sullivan, Guardian columnist and former public editor of The New York Times and media columnist for The Washington Post; Dick Tofel, principal of Gallatin Advisory and former president of ProPublica; Moderated by Seth Stern, chief of advocacy at FPF.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Freedom of the Press Foundation

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Tue, Oct 6 - Smartphone filming for journalists: Tell stronger stories with the kit you already have

What: We will share simple, effective techniques to help you capture clear sound, frame interviews professionally, and avoid common mistakes that can undermine otherwise strong journalism. The focus is on quick wins and real-world tips you can apply immediately, without needing expensive kit or complicated software.

Who: Samantha Smith, Managing Director of Ocean City Media and spent 25 years at the BBC working across news and current affairs as a producer and editor; Chris Quevatre, Creative Director at Ocean City Media and a former BBC journalist, presenter and video producer. He is an experienced self-shooting director.

When: 7:30 am, Eastern

Where: Zoom

Cost: members £10, nonmembers £25        

Sponsor: Women in Journalism

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Tue, Oct 6 - Cover the Upcoming Elections with More Confidence  

What: Get free resources and know-how to enhance your coverage of the 2026 midterm election. This webinar, designed especially for rural and smaller media, will give you everything you need to report on upcoming state, county and local contests.

Who: Bill Gates, director, Mechanics of Democracy Laboratory at Arizona State University’s School of Public Affairs, Phoenix; Patty Hansen, former Coconino County recorder, Flagstaff; Joseph Jaafari, founder and editor-in-chief, LOOKOUT magazine, Phoenix; Jerod MacDonald-Evoy, reporter, Arizona Mirror, Phoenix; Becky Pallack, co-founder, Arizona Luminaria, Tucson; Camryn Sanchez, senior field correspondent, KJZZ-FM, Phoenix.

When: 9:30 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Society of Professional Journalists

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Tue, Oct 6 - How AI Is Rewriting the Rules for Nonprofit Websites and What You Should Do About It

What: This session is designed to help nonprofits understand the new rules of the web and build a digital presence that works in an AI-driven world.

Who: Julian Gerace, Jr. Director of Data Solutions, Tapp Network; Chelsea Ganc, Senior Account Manager, Tapp Network.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: TechSoup

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Wed, Oct 7 / Thu, Oct 8 – Mental Health in Journalism Summit 2026 (Pre-Summit program)

What: Pre-Summit program (4 experiential workshops and region-based networking sessions).

Who: Natalia Tamburini, PCC ICF Certified Coach, Operations Coordinator at The Self-Investigation.

When: 8 am, Eastern  

Where: YouTube

Cost: Pre-Summit program Free                  

Sponsor: The Self-Investigation

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Wed, Oct 7 – Covering Data Centers

What: The one-hour session will feature two journalists who are doing deep investigative reporting on data centers with support from the Fund.

Who: Lauren Ober, whose reporting for Reveal examined local response to plans for a huge data center in Northern Virginia; Edward Donnelly, who has uncovered corporations’ covert lobbying efforts to change regulations so they can build data centers in Georgia and Pennsylvania.

When: 12 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Fund for Investigative Journalism

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Wed, Oct 7 – AI for Editing

What: A hands-on workshop exploring a practical process for using tools like ChatGPT and Claude to strengthen drafts without giving up your editorial judgment or voice. WE will walk through how to prompt AI for different kinds of editing support, from identifying unclear passages and tightening copy to reviewing structure, tone, and consistency.

Who: Tom Shroder, award-winning journalist, writer, and former Washington Post Magazine editor.

When: 2 pm, Eastern

Where: Eventbrite

Cost: Free                                                   

Sponsor: Center for Cooperative Media

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Thu, Oct 8 / Fri, Oct 9 - Mental Health in Journalism Summit 2026

What: The Summit program will feature two days of keynotes, panels, case studies, workshops, and lightning talks with speakers from across the global journalism ecosystem.

Who: Dozens of speakers.

When: 8 am – 12 pm, Eastern both days

Where: YouTube

Cost: $78.58                                               

Sponsor: The Self-Investigation

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Thu, Oct 8 - Defending press freedom against vexatious lawsuits

What: How can journalists and media organisations recognise, resist and respond to SLAPPs and other legal pressures designed to silence independent journalism? This webinar will bring together journalists, legal experts and media researchers to examine the growing challenge of Strategic Lawsuits Against Public Participation (SLAPPs) and other forms of legal pressure on independent journalism.

Who: Beatrix Vissy, senior legal officer and Anti-SLAPP Litigation & Advocacy Coordinator at the Hungarian Civil Liberties Union; Judge Dragomir Yordanov, who will explore developments in Bulgaria’s case law and efforts to strengthen legislation addressing SLAPPs; Saška Cvetkovska, editor-in-chief of the Investigative Reporting Lab, who will share her experience of smear campaigns, harassment and SLAPPs in North Macedonia.

When: 9:30 am, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: International Federation of Journalists; the European University Institute

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Thu, Oct 8 - AI for Business Model Design -Â Build a Business That Actually Makes Money

What: In this webinar, you’ll use AI tools to design, test, and refine your business model so you know exactly how you make money, who pays you, and why your numbers work. Come with an idea and leave with a strong business model.

When: 12 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Small Business Development Center, Widener University

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Thu, Oct 8 - Adaptive AI: Making News Selectable and Engaging

What: Most AI tools generate or just summarize content. This session introduces a fundamentally different approach. Adaptive AI that restructures original news into a new interactive format for diverse audiences without generating new information. Built on a new Digital Engagement Model, it adapts content to readers’ interests, available time, and environment while preserving the integrity of the original reporting.

Who: Ronald Yaros, the director of the Digital Engagement Lab and an associate professor in the Philip Merrill College of Journalism at the University of Maryland.

When: 12 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Online News Association

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Thu, Oct 8 - Impact in Journalism: Assessing the Present, Building the Future

What: This is the public launch of the Pulitzer Center’s research report, “Impact in Journalism: A Global Report on Current Practices, Challenges, and Emerging Trends.” You’ll hear from the coauthors and explore findings from the research report such as: How do journalists conceptualize impact, and how do they put it into practice? What barriers do newsrooms and freelancers face when working to engage people? Where can we identify opportunities to build systems and resources that make audience-centered journalism sustainable?

Who: Flora Pereira, Pulitzer Center Staff; Jazmín Acuña Grantee.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Pulitzer Center

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Thu, Oct 8 - Covering the Rising Risk of Flooding

What: Poynter faculty and journalists experienced in data-driven flood coverage will show local, state and regional reporters how to identify communities at risk, find and use reliable flood data and prepare coverage before disaster strikes.

Who: Jon Greenberg, Poynter Faculty; Marccus D. Hendricks, Associate Professor and Director of the Stormwater Infrastructure Resilience and Justice (SIRJ) Lab, University of Maryland; Sarah Kaplan, Climate and science reporter, The Washington Post; Kaitlin Lange, News Director, IndyStar.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsors: Poynter & The Hennecke Family Foundation

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Thu, Oct 8 - AI’s Impact on Career Readiness: Teaching ‘Human Skills’

What: Attendees will learn: How institutions are teaching teamwork, communication, and navigating difference; Which practical approaches can help assess these skills in the classroom; What strategies document those skills so they show up on transcripts and mean something to employers.

Who: Shea Vance, Reporting Fellow, The Chronicle of Higher Education.

When: 2 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: The Chronicle of Higher

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Fri, Oct 9 - Pressing Prompts Community Conversation

What: For instructors across all disciplines who are seeking ways to integrate AI ethics into their classrooms. Unlike a static set of “best practices,” Pressing Prompts is grounded in principles of critical pedagogy and educational experimentation, encouraging instructors and students to examine how AI raises crucial questions about our academic responsibilities, knowledge, labor, judgment, and learning.

When: 12 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Duke University

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Fri, Oct 9 - 'The Next Journalism' — A book talk

What: One of the nation’s leading journalism thinkers discusses his new book — and how journalism must change to serve democracy.

Who: Tom Rosenstiel, Eleanor Merrill Scholar on the Future of Journalism; Professor of the Practice·University of Maryland.

When: 12 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: University of Maryland

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It’s Training me to be More Like it

“I will catch myself when I’m writing where I’m like, ‘Oh my God, I shouldn’t have even written that. I should have just let AI do it because it sounds the same,” he says. “It’s trained me to be more like it, instead of the reverse.” -Katherine Bindley writing in the Wall Street Journal