Is AI Replacing Professionals?

The strongest interpretation of the AI skills gap is not that established professionals have become obsolete. It is that the profession’s center of gravity is shifting. Production competence remains necessary, but it is no longer sufficient. The differentiating skills are moving from executing tools to designing systems, from creating outputs to validating them, and from deliverables to shaping decisions. AI can make The workforce that succeeds will not be the one that adopts the most AI. It will be the one that combines automation with judgment—and builds professional standards capable of sustaining both. -Aleks Buczkowaki

AI Definitions: Hallucinations

This happens when an AI provides inaccurate responses. Generative AI models can answer some questions correctly, but this is not what they are designed to do. The level of hallucinations is affected by the model's temperature setting. The temperature determines the randomness of the output, balancing output between predictability and creativity. The lower the setting, the more predictability—but with less creativity. The higher the temperature, the more creativity is produced along with more randomness and hallucinations. Despite the negative impression of hallucinations in the public, hallucinating AIs can be very useful to researchers, providing innovative insights that speed up the scientific process.  

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23 Recent Articles about the Dangers of AI

OpenAI, Anthropic issue dire cyber threat warning - Axios

A.I. Is Becoming So Powerful, It’s Stumping Those Trying to Contain It – New York Times

Why is AI going on a hacking spree? – Live Science

A Drone Killed Three Ukrainians. It Was Guided Entirely by A.I. - The New York Times

Cargo Thefts Have Turned Violent in Pursuit of AI Hardware – Wired

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

The administration’s biodefense team has dwindled amid growing concern over AI-enabled pathogens – Washington Post

By Opening a Model, a Chinese A.I. Lab May Test the World’s Cybersecurity – New York Times

Her childhood photo. Thousands of explicit images. One woman’s nightmare. - Washington Post

OpenAI’s latest math breakthroughs commit research misconduct, experts say – Scientific American

AI assistant hacks gym website in first known Australian autonomous cyber attack – ABC

AI models are breaking out of their cages. Their creators are scrambling. - Washington Post

An A.I. was able to create 16 viruses not found in nature after scientists trained it on DNA libraries – New York Times

AI agent created fake online identities to access secure systems in latest breach – The Hill

AI Just Went Rogue Again. This Time It Turned to Deception. – Wall Street Journal

White House will exempt ‘open’ AI systems from security review - Washington Post

In Silicon Valley, Some Say an A.I. Bubble Would Be Just Fine – New York Times

Second major AI company says its systems hacked into other firms - Washington Post

AI titans' biggest private fear – Axios

AI Chatbots Know How to Make Biological Weapons. Some Will Teach You. – Wall Street Journal

Google Earth now has image generation built in – Digital Digging

OpenAI Says Its A.I. Models Went Rogue and Attacked a Digital Library – New York Times

AI labs face prisoner's dilemma as momentum grows for safety slowdown – Axios

The Jobs Most Susceptible to AI

Newly updated research from Stanford University economists finds jobs like “accountants and auditors” and “receptionists and information clerks” were among those judged most susceptible to AI automation, while jobs like “chief executive” and “registered nurse” were among those using AI augmentation most often. Unsurprisingly, jobs where AI automation is prevalent are the ones showing the worst relative employment levels for entry-level workers these days. - Ars Technica

19 Recent Articles about AI & Teaching

Harvard Is Selling a $699 Course Taught by A.I. Clones of Its Faculty – New York Times

Professors Were Singled Out for Using AI in Public Writing. Now They’re Defending Themselves. – Chronicle of Higher Ed

UC Berkeley professor admits to using AI to edit op-ed on students’ math skills – The Guardian

College professor shares why she believes AI can help 'strengthen thinking' – NPR

AI in the Classroom: Why It Matters and Who Decides – CATO

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

I Used AI to Build AI-Resistant Assignments - EdSurge News   

How Brown University is navigating the rise of generative AI use in the classroom – Brown

The Academic-Integrity Council Can’t Keep Up With AI - Chronicle of Higher Ed

How to encourage smarter AI use in the classroom – MIT Tech Review

Why I Stopped Fighting AI in My Classroom and Started Teaching With It – TIME

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

Stop policing AI in the classroom, start teaching it – The Conversation

AI in legal education: How to leverage AI to build change agility in law schools – Reuters

Why AI Might Not Change Education Much at All - KQED

These Professors Are Retiring Early. AI Was the Last Straw. - Chronicle of Higher Ed

The importance of teaching students what AI can’t do - The Conversation

AI-powered Alpha Schools expands to 50 campuses – Axios

Universities are fighting AI cheating. But there’s a deeper problem – Washington Post

AI & entry-level job losses

"Newly updated research from Stanford University economists suggests AI seems to be causing significant entry-level job losses for younger workers in some fields, even as older workers appear largely unaffected so far. The researchers theorized that entry-level workers could be especially affected by AI’s impact on jobs that require heavily 'codified' knowledge—the kind of 'formal, standardized, documented knowledge that can be taught through education, textbooks, or written procedures.' That would contrast with jobs where AI mainly complements an experienced worker’s more 'tacit' knowledge, which is overwhelmingly 'acquired through practice, mentorship, and repeated exposure to real situations,' the researchers write." - Arstechnica

19 Recent Articles about AI & Audio/Video

Alarming study reveals that almost 40 per cent of music released globally in July 2026 used AI – Euronews

How I Built an AI Agent That Makes Videos While I Sleep - Hackernoon

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

German court rules that AI music firm violated copyrights - DW

Apple Music to Launch Labels on AI Tracks Later This Year – Hollywood Reporter

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

AI music company joins the vinyl record resurgence – LA Times

A list of AI-generated music on Spotify – Soulless Music 

AI actor Tilly Norwood set to star in first feature film – CBS News  

Warner Music Group Acquires AI Attribution Tool Sureel AI, which tracks where songs are used in AI training and outputs – Billboard

YouTube will now automatically label AI videos – Tech Crunch  

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

How to tell human voices from AI – Hume.ai

YouTube Is Crawling with Pirated Audiobooks Made Using A.I. – New York Times

This Film Cost $500,000 to Make. $400,000 Was AI Compute Costs. – Wall Street Journal  

Stability AI launches new music creation model that enables users to create up to six-minute songs with text prompts – Tech Crunch 

Spotify is launching verification badges for podcasts to help listeners avoid AI slop  - Engadget  

YouTube Promises All Things to All Advertisers, With Some Help from AI – Wall Street Journal

Reddit is testing AI-generated videos that read text posts aloud – Mashable

18 Webinars this week about AI, Journalism & Media

Tue, Aug 25 - Inside the AI Factory

What: We’ll show you a prototype AI literacy mini-module designed for high school and early college students.

Who: David Foster, associate professor of multimedia and photojournalism at Kent State University.

When: 12 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Media Education Lab

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Tue, Aug 25 - How collaboratives can gather data from newsroom partners

What: This webinar will showcase how a regional collaborative newsroom worked with three partners to identify, collect and analyze audience data. The goals of the initiative were to provide baseline information for discussions with funders and to gain insight into content that drove engagement across the collaborative. You will learn how The Midwest Newsroom achieved buy-in for the initiative, identified key metrics and reported back to the partners. You will also hear about the challenges inherent in this kind of undertaking.

Who: Holly Edgell and the Collaborative Journalism Resource Hub.

When: 12 pm, Eastern

Where: Event Brite

Cost: Free                                                   

Sponsor: Center for Cooperative Media

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Tue, Aug 25 - 2026 AI Predictions: The Midyear Report Card

What: The panel will audit this year’s biggest AI predictions against what’s happening inside agencies and brand marketing teams right now. They’ll discuss what’s working, what’s not, and how accountability is quietly shifting as AI takes on more of the work. They’ll grade five predictions against the data and what marketers are actually seeing on the ground.

Who: Kendra Barnett Senior Tech Reporter; Tejas Manohar, Co-Founder & Co-CEO, Hightouch; Ojas Rege, SVP, Emerging Products & Technologies, OneTrust; Maria Givens, VP, Head of Media & Digital Platforms; Alex Sherman, CEO & Co-Founder, Bluefish.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: OneTrust

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Tue, Aug 25 - What We’re Seeing Across Nonprofits: AI Trends That Actually Matter

What: We will explore the AI trends that actually matter for nonprofits today. Topics include patterns across real organizations, what’s working versus what’s overhyped, and where nonprofits should focus next. Attendees will gain clarity on how to prioritize AI efforts that drive practical value and long-term impact.

Who: Joe DiGiovanni & Kyle Barkins, Tapp Network.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: TechSoup

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Tue, Aug 25 - AI Speech-to-Text in Practice: Lessons for Library Workflows, Testing, and Evaluation

What: This webinar explores the practical applications, opportunities, and challenges of implementing AI-powered speech-to-text tools, drawing on real-world insights.

Who: Meghan Xu, Kari D. Weaver, Rachel Wang & Gabby Crowley, Ontario Council of University Libraries; Harpinder Singh, University of Toronto.

When: 2 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Ontario Council of University Libraries

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Tue, Aug 25 - Build a Personal Brand That Opens Doors for Professional Influence

What: Drawing from more than two decades of experience building trusted brands, communities, and customer loyalty, we’ll shares a practical five-step framework that helps professionals become the people others remember, trust, and recommend.

Who: Lauren V. Davis, Founder and Personal Brand Strategist, Lauren Davis Creative.

When: 3 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Training Magazine Network

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Tue, Aug 25 - AI and assistive technology: Opportunities, limitations, and practical uses

What: Join us for this workshop and explore how AI is being incorporated into tools that support reading, writing, communication, organization, access to information, and more. You'll learn about the potential benefits, current limitations, and important considerations for determining when AI may—or may not—be an appropriate solution.

When: 3 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Pacer Center

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Wed, Aug 26 - Can the United States Win the AI Race if Americans Oppose Data Centers?

What: A discussion on what new polling reveals about Americans' views on data centers and the implications for U.S. AI policy. Panelists will unpack the motivations behind public opinion, examine what widespread resistance to new data center development could mean for America's AI competitiveness, and explore policy approaches that address legitimate community concerns without sacrificing the infrastructure needed to support long-term U.S. leadership in AI.

Who: Jarrett Catlin, Policy Advisor, TechNet; Daniel Castro, President, Information Technology and Innovation Foundation; Paul Lekas, Executive VP for Global Public Policy & Government Affairs Software & Information Industry Association; Seb Wride, Partner Public First.

When: 12 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Information Technology & Innovation Foundation

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Wed, Aug 26 - Builder Bootcamp: Agents

What: In this session, you’ll learn how production-grade agents are structured by walking through a customer support agent built with the OpenAI Agents SDK. We’ll cover how agents use tools to look up orders, answer FAQs, cancel orders, start complaints, route requests, apply guardrails, and generate outputs that can be evaluated.

Who: Gaurav Kaila, AI Deployment Manager, OpenAI; Tanner Wride, Builder ADM, OpenAI; Sean Lubbers, Technical Success, OpenAI.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: OpenAI Academy

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Wed, Aug 26 - AI, Privacy, and Employees: Understanding Legal Risks and Liabilities for Employers

What: This webinar examines how AI is reshaping the workplace, from employee data collection to decision-making and monitoring practices. Attendees will gain insight into this evolving legal landscape, including risks related to bias, data protection, and transparency, along with strategies to use AI responsibly while safeguarding employee rights and minimizing liability.

Who: Nichole Atallah, PilieroMazza PLLC; Corey Bohn, PilieroMazza PLLC.          

When: 2 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: PilieroMazza

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Wed, Aug 26 - Prompt, Build, Play: Vibe Coding for Learning Designers

What: This webinar shows how vibe coding can help you move from idea to interactive prototype using AI as a practical build partner. Through three scenario and game driven examples, you will see how prompting, testing, and iteration can support faster ideation, interaction design, feedback writing, branching logic, and simple game mechanics.

Who: Destery Hildenbrand, Learning Technology Consultant.

When: 3 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Training Magazine Network

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Thu, Aug 27 - How Searchable uses Searchable to win Al search

What: See how we run AI search on our own brand: what we track, how we decide what to work on, how an insight becomes an action, and what we report.

Who: JP Garbaccio, Head of AEO & SEO, Searchable

When: 11 am, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Searchable

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Thu, Aug 27 - From Prompting to Delegating: What Agentic AI Actually Changes for L&D

What: In this webinar, you'll see what truly separates generative AI from agentic, and why that difference changes how you design learning and performance experiences. We'll decompose an L&D workflow into tasks, and understand what remains human, what goes to the machine, and what you collaborate on. You'll leave with a decision scale you can use whether you're building a course, leading a team, or rethinking a workflow.

Who: Josh Cavalier, CEO, Josh Cavalier.ai, CSO, Talent Rewire

When: 12 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Open Sesame

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Thu, Aug 27 - Creators Aren’t Just Making Content Anymore

What: Creators will hear directly from peers who’ve turned their platforms into full-blown businesses. They’ll discuss what they built, what they’d do differently, and where they’re headed next. This conversation is also for brand marketers. Brands will get a clear-eyed look at what’s changed: the new models for working with creators, and how to show up as a real partner instead of just another logo in someone’s sponsored post.

Who: Will Lee, Chief Executive Officer, Adweek; Jayde I. Powell, Founder & Head of Creative, The Em Dash; Lana Ivory, Content Creator & Co-Founder, C2C Network.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Adweek

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Thu, Aug 27 - Building a Safety Mindset Into Your Newsroom: A Practical Planning Session

What: This webinar will help participants build practical, personalized approaches to newsroom safety. You’ll learn how to identify your newsroom’s specific risks, ask the right questions before assignments, and develop safety plans that reflect your reporting environment, staff, and workflows.

Who: Kate Parkinson, Risk and Safety Manager, Journalism Protection Initiative.

When: 2 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Craig Newmark Graduate School of Journalism, CUNY

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Thu, Aug 27 - Take the Mystery Out of AI: Practical Tools for Nonprofit Impact

What: We will start by making the case for why nonprofits can't afford to sit out the AI conversation, sharing real-world examples of organizations already putting it to work. From there, we'll break AI down into simplified, everyday terms — showing you how to start using it right now to save time, stretch your resources, and increase your impact, no technical background required.

Who: Wayne Elsey, founder and CEO of Elsey Enterprises.

When: 12 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: TechSoup

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Fri, Aug 28 - AI Got Me Here, But My Editor Got Me Published

What: We’ll review an AI-assisted manuscript from title to conclusion, highlighting where AI performs well and where expert intervention makes the biggest difference. Learn how editors strengthen scientific storytelling, improve logical flow, refine arguments, and enhance clarity to create a manuscript that is truly submission-ready. You’ll leave with practical strategies to bridge the gap between an AI-generated draft and a publishable paper.

Who: Snezana Levic, Associate Professor in Physiology, Neuroscientist.

When: 8 am, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Editage

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Fri, Aug 28 - 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

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AI Definitions: Attribution Decay

Attribution Decay - The more data a generative model is trained on, the harder it becomes to trace a generated image to a single image from the training data. AN AI-generated image might still resemble a masterpiece even when that artist’s work is removed from the training data. Individual inputs matter less the more data that a model is trained on. This suggests models are “creative” in a sense that goes beyond their training data. Attribution decay might motivate AI companies to make their models large enough that no output can be attributed to any specific input in an attempt to avoid liability, as this is likely to impact copyright infringement concerns.

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16 Articles about the Impact of AI on Health Care

The benefits of medical AI assistance vary based on user expertise – MIT

The administration’s biodefense team has dwindled amid growing concern over AI-enabled pathogens – Washington Post

A.I. Is Finding Sperm Where Doctors Couldn’t – New York Times

What happens when medical students rely on AI – and never develop their own judgment? – The Guardian  

AI could bring Mayo-quality health care to everyone - Axios

From policing authors to stewarding science: Governing artificial intelligence across the scientific publishing pipeline in medical journals – Science Policy Review

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

AI brings savings to clinical trials: study – Axios

Healthcare Investing Is Now an AI Short in Disguise – Wall Street Journal

What AI’s usurping of the peer-reviewed publications means for medicine and pharmaceutical industry - The London School of Economics

Doctors Don’t Want Patients to Read Test Results With AI. They’re Doing It Anyway. – Wall Street Journal

OpenAI makes ChatGPT Health available to all US users – Tech Crunch

Medical ethics journal retracts paper by high school student for AI, peer review manipulation – Retraction Watch

How A.I. Might Change the Way Doctors Think – New York Times

Medical students are using a popular research tool (aided by AI) to pump out misleading studies – Science.org

Survey finds 3 in 10 adults using social media, AI for health information and advice – AHA

Humans in the Loop

Human oversight of AI does not mean manually reviewing every output. It means designing controls proportional to risk. A proposed email subject line does not require the same validation as a medical diagnosis, a credit decision, or an instruction affecting an industrial plant. Expertise establishes that threshold, identifies when a model moves beyond its reliable range, and determines when automation must stop. -Eduardo Perez

Scaling a Flawed Assumption

The same technology that scales knowledge can scale a flawed assumption. A well-written answer can be false; a historical pattern can reproduce bias; efficient automation can accelerate a process that should never have existed. The greatest risk is not that AI will be wrong, but that it will be wrong fluently enough for someone without domain expertise to trust it. -Eduardo Perez

AI Definitions: The Measurement Trap

Frontier models can detect that they are being evaluated and will shift outcomes to meet the goals of a test. These so-called measurement traps are not unique to AI models. They show up in standardized testing (when instructors begin to “teaching to the test”) as well as in business when bonuses and promotions are tied to revenue measures. This leads to short-term sales being prioritized over long-term profitability. The problem is this: when a measure becomes a target, it ceases to be a good measure.   

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AI Mathematical Misconduct

OpenAI’s latest math breakthroughs commit research misconduct, experts say. Two of the most exciting results, the experts say, incorporate preexisting ideas from the recent mathematical literature without properly citing them. Like a number of recent AI breakthroughs, it pasted together ideas from the mathematical literature to build a new theorem. Once again, the LLM’s trick is its superhuman patience for assembling puzzle pieces, not the ability to make some profound intellectual leap. -Scientific American

19 Webinars this week about AI, Journalism & Media

Mon, Aug 17 - Leading Through AI Transformation

What: Industry experts will explore how organizations are equipping leaders to guide teams through AI-driven change. Learn practical approaches for strengthening communication, supporting employees through disruption and using AI to enhance collaboration, learning and business performance. This session will provide actionable insights for leaders working to build adaptable, resilient and future-ready teams.

Who: Alan Nelson, Co-Managing Partner CRA, Admired Leadership; Brittany Podolak, Chief Human Resources Officer, athenahealth; Danielle Silver, Solution Architect, SweetRush; Josh Cardoz, Chief Creative & Learning Officer, Sponge; Tom Kupetis Partner and Executive Vice President, St. Charles Consulting Group NIIT.

When: 11 am – 3 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Training Industry

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Tue, Aug 18 - Framing Public Health Stories for Impact: From local to national

What: How to anchor local reporting in national data, policy, and trends without losing nuance; advice on localizing national health issues with reporting that centers people, place, and lived experience; and tips for engaging complex public health and healthcare topics into clear, engaging stories for broad audiences.

Who: Tracy Jan, a senior editor for ProPublica’s Local Reporting Network.

When: 11 am, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: The National Press Club Journalism Institute,

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Tue, Aug 18 - Keep that research off the shelf: Operationalizing audience research in your newsroom

What: Learn practical ways to turn audience research into real newsroom action. How to design research around real business challenges, integrate it into your newsroom's workflow, and measure its impact.

Who: Ariel Zirulnick, an entrepreneurial journalist and consultant who works at the intersection of editorial, audience, and product strategy to help news organizations build more sustainable, community-centered futures.

When: 12 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Indiegraf

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Tue, Aug 18 - The AI Paradox: The More Technology Advances, the More human Influence Matters

What: Discover practical, research-based strategies that will help you strengthen your influence and succeed in a world where technology continues to evolve— but lasting success still depends on human Influence.

Who: Elaina Zuker President, Elaina Zuker Associates.

When: 12 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Training Magazine Network

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Tue, Aug 18 - Covering “Teen Takeovers”

What: Go beyond police reports and breaking-news narratives. Learn to cover so-called “teen takeovers” with context, accuracy and care.

Who: Fernanda Camarena, an award-winning journalist with more than 20 years of experience; Liz Ryan, a policy expert, advocate and investigative journalist; Kevin Beckford, Advisor for Partnerships at Pretrial Justice Institute; Justin Garcia, State and Local Accountability Reporter, Tampa Bay Times

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Poynter

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Tue, Aug 18 - SPJ Code of Ethics Listening Session No. 2

What: The second of three listening sessions. Learn about the work that has gone into the recommended Code revisions, the revisions being considered and ask your questions. Registration required.

Who: The SPJ Code of Ethics revision committee.

When: 7 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Society of Professional Journalists

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Wed, Aug 19 - How to get your brand recommended in Claude

What: Learn how Claude finds, evaluates and recommends brands: what influences its answers, where SEO still matters, and what you can do to improve your chances of being recommended.

Who: JP Garbaccio Head of AEO & SEO, Searchable.

When: 11 am, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Searchable

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Wed, Aug 19 - Builder Bootcamp: API Foundations

What: In this session, you’ll build a practical foundation for developing with the OpenAI API. We’ll cover core building blocks, model selection, prompting, structured outputs, and the key concepts that help teams move from an initial use case to a working prototype.

Who: Peter Diamond, Builder ADM, OpenAI; Allie Lei, AI Deployment Manager, OpenAI.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: OpenAI Academy

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Tue, Aug 19 - Covering health care affordability: A big story with major impact

What: Join us for a conversation and Q&A about a topic that applies to every town, city and state as small businesses struggle with rising insurance costs and employees face daunting financial decisions.

Who: Joseph Burns, AHCJ Health Beat Leader for Health Policy, Insurance; Bob Herman, Business of Health Care Reporter, STAT.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Association of Health Care Journalists

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Wed, Aug 19 - How to Actually Use AI in Virtual Training

What: We’ll cut through the noise and share three specific ways you can incorporate AI into your virtual classes. You'll explore how to use AI to create an engaging learning experience, as a facilitation support tool to stay present with learners during delivery, and as a tech backup to handle platform issues without derailing your session.

Who: Cindy Huggett, CPTD Principal, Cindy Huggett Consulting.

When: 3 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: OpenSesame

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Wed, Aug 19 - 15 AI Tools Every Professional Needs in 2026 Share

What: No technical background needed. What You'll Walk Away With: AI Productivity Checklist; 50 Ready-to-Use AI Prompts; AI Tools Resource Guide; Webinar Presentation; Certificate of Participation; Exclusive discount on advanced training.

When: 8 pm, Eastern

Where: Humanitix

Cost: Free                                                   

Sponsor: Mangates

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Thu, Aug 20 - Intro to ChatGPT Work for News Organizations

What: How ChatGPT Work can support the teams that help news organizations grow and operate. We’ll explore the shift from AI that answers questions to AI that can carry work forward across multiple steps, using the tools and context around you.

When: 10 am, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: OpenAI Academy

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Thu, Aug 20 - AI in Action: What’s Working in the Field

What: You’ll hear directly from district leaders who are putting AI into practice as they share lessons learned, successful use cases, and the leadership decisions helping them build thoughtful, sustainable approaches that support educators and improve outcomes for students.

Who: Jared Bloom, Superintendent, Franklin Square Union Free School District (NY); Shaylia McRae, Deputy Superintendent, Academics and Transformation, Hillsborough County Public Schools (FL); Debbie Durrence, Interim Chief Accountability Officer, Gwinnett County Public Schools (GA); Dan Bridges, Superintendent, Naperville Community Unit School District 203 (IL); Jennifer Ferrari, Chief Executive Officer, ERDI; and Jeff McCoy, Chief Education Officer, ERDI.

When: 12 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Education Research and Development Institute

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Thu, Aug 20 - AI for Government Admin, Executive Secretaries, and Critical Support Roles

What: A practical session exploring how administrative professionals, executive secretaries, and critical support teams can use AI to strengthen their everyday work.

Who: Amanda Bullock, AI Deployment Manager, OpenAI; Hillary Washington, Executive Ops, OpenAI.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: OpenAI Academy

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Thu, Aug 20 - Data Made Simple: Google Sheets for Journalists 

What: Designed for journalists with little or no spreadsheet experience, the workshop will cover the building blocks of Google Sheets, including sorting and filtering data, creating simple calculations and cleaning information for analysis. Participants will learn practical techniques they can immediately use to improve their reporting and workflow.

Who: Mónica Cordero is an award-winning investigative data reporter.

When: 1 pm, Eastern

Where: Zoom

Cost: $35                                                    

Sponsor: iMediaCampus

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Thu, Aug 20 - ChatGPT Work for data analytics teams

What: Learn how data analytics teams can start using ChatGPT Work for common workflows. This session will focus on practical ways newly enabled users can begin exploring Work with the tools and context they already use.

When: 2 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: OpenAI Academy

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Thu, Aug 20 - AI Governance for the Public Sector: Balancing Innovation, Security and Trust

What: You'll learn: Where AI adoption is creating new risks across state and local government environments, and why many organizations lack full visibility. How to identify and manage shadow AI, and what steps can help improve oversight of tools and usage across your organization. What it takes to establish practical governance frameworks, and how to balance innovation with security and compliance.

Who: Jim Bergen, Vice President, State Local and Education, CrowdStrike; Matt Singleton Executive Public Sector Strategist, CrowdStrike and Former State of Oklahoma CISO; Adam Zoller Chief Information Security Officer, CrowdStrike.

When: 2:30 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: GovLoop

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Thu, Aug 20 - The FāVS Model: What One Newsroom Can Teach Us About Building a Sustainable Journalism Community

What: A conversation about the organization's evolution, the lessons learned along the way, and what other journalists, editors, and publishers can apply to their own work. From recruiting contributors to building community and adapting to a changing media landscape, this webinar offers practical insights for anyone interested in strengthening local journalism.

Who: Tracy Simmons, executive director of FāVS News; FāVS News associate editor Cassy Benefield; FāVS News reporter Emma Maple.

When: 3 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Religion News Association

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Sat, Aug 22 - AI Speech-to-Text in Practice: Lessons for Library Workflows, Testing, and Evaluation

What: This webinar explores the practical applications, opportunities, and challenges of implementing these tools, drawing on real-world insights from recent evaluations of speech-to-text technologies.

Who: Meghan Xu Programmer/Analyst, DevOps, Scholars Portal, OCUL; Rachel Wang Systems Administrator, DevOps, Scholars Portal, OCUL.

When: 2:00 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Ontario Council of University Libraries

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A Competition Between People & Machines

Framing the future as a competition between people and machines is a false choice. AI will automate tasks, transform professions, and displace some jobs. It is equally misguided to conclude that expertise no longer matters. What is changing is how expertise creates value: less time spent on repetitive execution, and more on defining the right problem, recognizing exceptions, validating outcomes, and taking responsibility for the consequences of a decision. -Eduardo Perez

AI Definitions: Artificial Intelligence

Artificial Intelligence (AI) – AI typically refers to computers that imitate the process of human thinking, able to make some decisions on their own without human intervention. The defining feature of artificial intelligence is that its behavior is learned from data rather than from being explicitly programmed. When most people talk about artificial intelligence, they typically refer to LLMs (Large Language Models). While AI can effectively mimic and mix established patterns in creative ways, it does not perform well at creating new things by breaking expectations and conventional forms. 

More AI Definitions

18 Articles about AI & Politics

Chatbots are doing the work of Congress with little oversight – Washington Post

China’s A.I. Is Surging Across Africa. That Should Worry Silicon Valley. – New York Times

The hottest AI models in Silicon Valley face a powerful source of competition – Washington Post

China’s A.I. Play Is Different From America’s – New York Times

White House will exempt ‘open’ AI systems from security review – Washington Post

New York bans data center construction for a year, rattling AI industry – Arstechnica

Nearly 200 Economists and Tech Leaders Warn of A.I. Threats: A letter calls for policymakers to do more to understand and respond to potential disruptions from artificial intelligence. – New York Times

Xi Jinping casts himself as leader of new AI world order – Semafor

India Is Moving Fast to Catch Up in A.I. A Coastal City Fears the Fallout. – New York Times

Censorship in Chinese AI models can be undone, new research shows – Semafor

How Terrorist Groups Are Using A.I. to Gain an Edge in Battle – New York Times

Political text messages could get more effective and annoying. Blame AI – NPR

The Logo for Donald Trump International Airport Appears to Be AI Slop – Futurism

Trump’s Vision for A.I. Dominance Comes With Major Air Pollution – New York Times

What AI companies want for the millions they’re spending on elections – CNBC

AI-generated video of Vermont congressional race tests new state disclosure law – WCAX

In Texas, AI-generated political ads are blurring the line between real and fake- Poynter

As Voters Grow Anxious Over A.I., Trump Shrugs Off the Concern - New York Times