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

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

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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