Ideas that challenge / comfort / inspire
Stephen Goforth
AI Washing - This references a company’s misleading claims about its use of AI. It’s a marketing tactic that exaggerates the amount of AI technology used in their products to appear more advanced than they actually are. AI washing takes its name from greenwashing, where companies make false or misleading claims about the positive impact they have on the environment. The SEC has leveled fraud charges against companies for misleading investors about their use of AI.
The risk of skills atrophy is very real. People of my generation who had to learn to do things the hard way are benefiting the most from these tools. If you’re a grad student now and you’re trying to decide whether to read your data-methods textbook or just ask ChatGPT to run this regression for you, that’s a very tempting thing. - Alexander Kustov, a political scientist at the University of Notre Dame in the Chronicle of Higher Ed
One of the most memorable scenes in the movie Jerry Maguire climaxes with the main character telling his estranged wife, “You complete me.” Many people understand the line to mean "I'm not a whole person without you." As if a person is like a machine missing a critical part until the "right one' comes along. But you could also hear it as a statement of realization that "I finally see how we fit together." Like pieces of a jigsaw puzzle. Or better yet, like two great works of art. The paintings, sculptures or rugs are beautiful on their own, yet woven together they create a new, compelling and intricate tapestry of vibrant colors.
Stephen Goforth
Where Does Publishing’s A.I. Problem Leave Authors and Readers? – New York Times
Dozens of AI disease-prediction models were trained on dubious data – Nature
Frontiers issues AI guidance spanning full publishing lifecycle – Research Information
Tackle ‘AI slop’ in education research ‘or lose teacher trust’ – Times Higher Ed
Plagiarised research passed automated tests, and I detected it – but only because it copied my work – Conversation
If a Large Language Model can replicate your scientific contribution, the problem is not the LLM – Nature
Bloodhound code sniffs out copied-and-pasted numerical data – Retraction Watch
Scientists Invented a Fake Disease Caused by Blue Light—Now It's in Medical Papers - Inc
AI Is a Better Researcher Than You That claim got a political scientist denounced. Is it true? – Chronicle of Higher Ed
Cite unseen: when AI hallucinates scientific articles- Science.org
Hallucinated citations are polluting the scientific literature. What can be done? - Nature
Anonymisation in research must be overhauled for AI era – Research Professional News
What is p hacking, is it bad, and can you get AI to do it for you? – Towards Data Science
Policies Permitting LLM Use for Polishing Peer Reviews Are Currently Not Enforceable – ArXiv
A citation alert led researchers to a network of fake articles. But who is benefiting? – Retraction Watch
More AI will not beat the Red Queen - Wonkhe
STM Plants a Flag About Responsible Use of Research Content in GenAI – Scholarly Kitchen
Prompt injection in manuscripts: exploiting loopholes or crossing ethical lines? – Springer
Seeing Is Believing? Scientific Misconduct and the Detection of Problematic Images – International Anesthesia Research Society
How to build an AI scientist: first peer-reviewed paper spills the secrets - Nature
Major conference catches illicit AI use — and rejects hundreds of papers - Nature
An AI-authored paper just passed peer review. The scientific community isn’t ready – Scientific American
Wikipedia Bans AI-Generated Content – 404 Media
The European Research Council sets out firm line on use of AI in peer review – Research Professional News
AI models fail to accurately pick out which social science studies could be replicated - OSF
Restoring Trust in Science: Storytelling, AI, and Integrity in Scholarly Publishing – ISMPP (webinar recording)
Temperature - A setting within some generative AI models that determines the randomness of the output. Temperature helps balance the model’s outputs between predictability and creativity. The higher the temperature, more creativity is produced along with more randomness and hallucinations. The lower the setting, the more predictability—but with less creativity.
As A.I. makes the production of knowledge work more and more efficient, the job of presenting, debating, lobbying, arm-twisting, reassuring or just plain selling the work appears to be rising in importance. And the need for those sometimes messy human tasks may limit the number of people A.I. displaces. -New York Times
My life is my message – Ghandi
What: In this session, nonprofit leaders will explore essential accessibility concepts, common website challenges, and clear strategies to improve usability for people with disabilities. Walk away with practical guidance you can apply immediately to strengthen your online presence, increase engagement, and deepen your impact.
Who: Erin Mastrantonio, Elevation Web.
When: 11 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Nonprofit Learning
What: We will explore the common patterns appearing across AI literacy guidebooks from districts across the country. Instead of focusing on individual districts, this session curates the best ideas that are rising to the top and highlights practical approaches that schools are using to build responsible, confident AI use.
Who: Matthew Winters, Artificial Intelligence Educational Specialist, Utah State Board of Education); Jennifer Ehehalt, Former Educator, Current Senior Regional Manager, Common Sense Education; Sue Thotz, Former Educator, Current Director, Education Outreach, Common Sense Media.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Common Sense Education
What: We will discuss how using AI to analyze large collections of data can shed light on the efficacy of professional learning.
Who: Lisa Schmucki, Founder and CEO of edWeb.net; Thor Prichard, President and CEO of Clarity Innovations.
When: 4 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: EdWeb.net
What: A session for students, researchers, faculty, and staff who want to use Codex to take action in their daily routines and workflows. It is designed for the entire campus community—not just developers or technical users—making it accessible across roles and levels of technical experience. This session introduces Codex from the perspective of practical use, showing how it can support productivity, creativity, and reducing administrative burden across campus.
Who: Gaurav Kaila, AI Deployment Manager, OpenAI; Shaig Abduragimov, Solutions Engineering Education, OpenAI.
When: 5 am, Eastern
Where: Zoom
Cost: Free
Sponsor: OpenAI Academy
What: A look at what makes a freelance or senior-level CV stand out, whether you are pitching for commissions, applying for contracts, or positioning yourself for consultancy and leadership opportunities.
Who: ITN recruitment consultant Dan Sado.
When: 7:30 am, Eastern
Where: Zoom
Cost: members, £10; nonmembers, £15
Sponsor: Women in Journalism
What: In this session, we’ll talk through what pipeline modernization actually looks like in practice. We'll cover when CDC is the right move versus when it's overkill, how to approach hybrid environments where legacy and cloud systems need to coexist, and what separates teams that modernize incrementally from those that get stuck in planning mode
Who: Kim Fessel, Jess Ramos of Big Data Energy; Manish Patel, GM of Data Integration at CData.
When: 9 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Towards Data Science
What: Join us for an engaging, forward-looking session exploring the key digital marketing trends in 2026. Learn what’s next in content marketing, search, AI-driven personalization, and automation so you can refine your strategy and stay ahead of the competition.
Who: Join Digital Marketing Strategist Ray Sidney-Smith
When: 10 am, Eastern
Where: Zoom
Cost: $45
Sponsor: Small Business Development Center, Duquesne University
What: We will share what they’ve learned about going all-in on AI and give a practical demonstration of what that looks like from briefing to brand consistency.
Who: Phillip Maggs, Director of AI Product, Superside; Juliana Paba, Senior Project Manager, Superside.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Superside
What: Join OpenAI Academy for an introductory session on Codex, designed for anyone curious about building with AI—no technical experience required. We’ll start with a quick overview of what Codex is, key definitions, and how it works, before moving into live demonstrations of what you can create as a nontechnical user.
Who: Aaron Wilkowitz, Solutions Engineer, OpenAI.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: OpenAI Academy
What: This workshop will assist you in understanding the fundamentals of employment discrimination law applicable to news organizations and journalistic endeavors, including differences between employees and contractors; discrimination in the context of hiring, discipline, and termination; different forms that discrimination takes; and responses to incidents of discrimination. The session also explores harassment, a close legal cousin of discrimination.
Who: Anaeli Petisco-Rojas, Vice President, Employment Law, TelevisalUnivision; Jamila Brinson, Partner, Labor and Employment, Jackson Walker LLP.
When: 6 pm, Eastern
Where: Zoom
Cost: Free to members
Sponsor: National Association of Hispanic Journalists.
What: You’ll explore where AI tools can genuinely help with analysis, extraction and transformation and how to find a treasure trove of stories buried in datasets. The focus is on practical newsroom tips and maintaining editorial oversight while working more efficiently.
Who: Paul Bradshaw, Data Journalist, BBC.
When: 7:30 am, Eastern
Where: Zoom
Cost: members, £15; nonmembers, £25
Sponsor: Women in Journalism
What: How practical, everyday journalism—housing guides, school updates, local government coverage that people can use—has become a direct driver of reader revenue, stronger habits, and higher advertiser relevance.
Who: Jeff Elgie, CEO, Village Media, Canada.
When: 9 am, Eastern
Where: Zoom
Cost: Free
Sponsor: World Association of News Publishers
What: We'll cover: An overview of AI and ChatGPTs Best practices for writing good prompts; Demos of content creation, data analysis, and image generation; How to discover use cases of ChatGPT at work.
Who: Juliann Igo, GTM, OpenAI.
When: 9:45 am, Eastern
Where: Zoom
Cost: Free
Sponsor: OpenAI Academy
What: Industry experts will share how learning organizations are using AI to optimize, automate and enhance content development workflows. Sessions will explore best practices for navigating multiple AI tools while maintaining consistency, quality and alignment with learning goals.
Who: Thomas Magnifico, VP of Strategic Partnerships, D-ID; Danny Pichardo, Director of Customer Success – US, D-ID.
When: 11 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Training Industry
What: Join us to get a firsthand look at how Adobe Learning Manager brings AI to every stage of the learning journey - including personalized recommendations, deep semantic search, conversational AI Assistants, and AI‑driven coaching for role‑based practice. We’ll also share a practical, forward‑looking view of how generative AI will influence the next generation of learning design.
Who: Justin Justin Seeley Learning Evangelist, Adobe.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Adobe Learning Management
What: This webinar, designed for reporters covering science either occasionally or full-time—teaches basic principles about recognizing science worth reporting on and doing it justice in your coverage.
Who: Freelance science reporter Elena Renken; Ph.D. neuroscientist Dr. Tori Espensen.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: SciLine
What: Next step for growing your skills. Join the OpenAI team to learn how to conduct deep research for report writing, organize your work with Projects, and build custom GPTs to automate tasks. What you will learn: How to leverage deep research to generate reports How to create Projects in ChatGPT; An overview of GPTs and best practices for building them.
Who: Juliann Igo, GTM, OpenAI.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: OpenAI Academy
What: This workshop will introduce participants to a framework of “Community News Roles” developed by the Journalism + Design Lab, which reframes journalism as a set of actions — such as documenting, sensemaking, facilitating, and navigating — that people fulfill every day to contribute to the flow of local news.
Who: Cole Goins is the Managing Director of the Journalism + Design Lab; Megan Lucero is the Network Lead for the Journalism + Design Lab.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Online News Association
What: This webinar brings together leaders from The Post & Courier, The Miami Herald, and Illinois Answers Project/Better Government Association to share practical, real-world strategies for building event-based philanthropic funding from the ground up.
Who: Claire Linney, VP of Development, The Post & Courier; Jane Wooldridge, formerly Senior Director for Journalism Sustainability and Partnerships, The Miami Herald; Amber Bel’cher, VP of Development, Better Government Association
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Local Media Association Lab for Journalism Funding
What: We will explore how to turn archives into structured, machine-readable datasets, unlocking entirely new value in AI markets. Key takeaways: Structured content is the real asset; Archives hold untapped value; Quality and provenance matter more than volume; The shift from scraping to licensing is redefining publisher leverage.
Who: Brooke Hartley Moy, CEO and Founder, Infactory; Mary Liz McCurdy, SVP of Strategic Partnerships and Business Development, The Atlantic; Ezra Eeman, Lead, AI in Media, WAN-IFRA; Kevin Anderson, Director of the Digital Revenue Network, WAN-IFRA.
When: 10 am, Eastern
Where: Zoom
Cost: Free
Sponsor: World Association of News Publishers
What: We will challenge two of the industry’s most persistent assumptions: that publishers need entirely new products to reach young audiences, and that younger consumers simply will not pay for news and journalism. Join this session for an inside look at what Podme learned while building a subscription audience — and what those lessons reveal about how to create journalism that younger audiences see as worth paying for.
Who: Kristin Ward Heimdal, Managing Director/Editor-in-Chief, Podme.
When: 10 am, Eastern
Where: Zoom
Cost: Free to members
Sponsor: International News Media Association
What: We will explores the trends that are already changing how people find jobs and how jobs find people, stretches them forward, and asks what they might mean for someone building a career in research, industry, or both. Expect honest speculation, practical takeaways, and a few uncomfortable questions about how you present yourself in a world that's increasingly automated.
Who: Erik Fors-Andrée, VP and founder of Go Monday, one of Sweden's largest suppliers of counseling on working life and career.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Karolinska Institute
What: What journalists and their audiences need to know, including: changes in voter list maintenance and what they mean for election coverage; trends among the elections workforce; how reporters can understand and analyze the data that comes in rapidly on Election Day; questions reporters can ask before election results come in; and how to cover major policy proposals in a way that cuts through the noise.
Who: Wren Orey, director of the Bipartisan Policy Center’s Elections Project.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: National Press Club Journalism Institute; Bipartisan Policy Center
What: This webinar is about the new Future of Work Reporting Fellowship to support journalists telling essential stories: how education, workforce development, and the innovation economy intersect in real communities, and what it means for people's lives and livelihoods. Join this launch webinar to learn more about how to apply for the opportunity and support the fellowship.
Who: Elyse Ashburn, Co-Founder & Editor, Work Shift; Paul Fain, Co-Founder & Editor, Work Shift; Shalin Jyotishi, Founder & Director, Future of Work & Innovation Economy initiative, New America; Carol Rava, Vice President for Education Philanthropy, Ascendium Education Group.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: New America
What: You’ll Learn: Why investment in brand channels and creator partnerships has grown exponentially; Best practices from top brand marketers and creator experts across all three engagement areas; How to unify every YouTube touchpoint so your audience receives one clear, compelling message.
Who: Lauren Bane, Senior Digital Marketing Manager, Brand Impact Patagonia; Jamie Gutfreund, Jamie Gutfreund, Founder, Creator Vision; Matt Duffy, CMO Pixability.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Pixability
What: We’ll move past the AI hype to show you exactly how smart automation can act as a “digital coordinator” for your team. We will show you how organizations much like yours are growing their volunteer base, delivering more services and doing it all without asking too much from their dedicated and loyal team.
Who: Jim Schwab, Volunteer Systems Consultant at Rosterfy.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: CharityVilliage
What: We will explore the essential skills editors need to lead in today’s faster, more complex and more visible newsroom environment. As editors take on expanded roles as strategists, coaches, technologists and guardians of public trust, success more than ever depends on clear priorities, strong audience awareness and sound judgment under pressure. This toolkit provides practical frameworks for understanding audiences, coaching reporters, making smart editorial decisions, using metrics and AI responsibly, and building sustainable newsroom systems.
Who: Allison Petty, director, local news, Lee Enterprises; Chris Coates, senior director, local news, Lee Enterprises.
When: 2 pm, Eastern
Where: Zoom
Cost: $35
Sponsor: Online Media Campus
What: We will share how AI-powered role-plays, real-time coaching, and feedback are reshaping how organizations develop managers. We’ll explore why this is such a pivotal moment for leadership development, how AI coaching drives consistency and supports managers in the flow of work, and walk through a live demonstration of Tenor's voice AI coaching for performance development, followed by Q&A.
Who: Tenor Co-Founder James Cross.
When: 3 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Tenor
What: Please bring your puzzling and perplexing copyright questions.
When: 3 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Association of Southeastern Research Libraries
Never let the sense of failure corrupt your new action. - Oswald Chambers
It is often hard to tell what A.I. does well and what it does not. The jaggedness of A.I. means that the problems can come from anywhere. There are gaps, and we don’t always know where the gaps are. - Cade Metz writing in The New York Times
Jagged intelligence – AI can outperform humans in narrow technical tasks, yet it fails when a problem requires judgement and context reasoning. To complicate the situation, it’s not always clear which is which. Also, the bot may provide a correct answer and then immediately provide an incorrect answer with the same prompt. A key takeaway is that while humans learn and gain competence in a linear, predictable fashion, AI's capabilities are more haphazard and unpredictable. It possesses a variety of skills but not general intelligence. Therefore, verification layers and human checkpoints are essential for deriving consistent, useful results from AI models.
Walmart’s AI Chief Earned More Than Its CEO in 2025 With a $44.1M Payday - WWD
Snap Is Laying Off 16% of Full-Time Staff as It Embraces A.I. - New York Times
Brands Adopt ‘No AI’ Disclaimers to Stand Out Amid the Slop – Wall Street Journal
AI is testing the oldest debate in business: Who’s the customer? – Semafor
Data, not infrastructure, must drive your AI strategy – Fast Company
The IT department: Where AI goes to die – Economist
Chief people officers at large companies push back on the assumption AI agents should be managed the same as human workers – Wall Street Journal
Why are executives enamored with AI but ICs aren’t? – John Wang
Mark Zuckerberg is creating an AI CEO to help him do his job – Metro
Why AI Policy Is Really A Workforce Question For Higher Education - Forbes
The Do’s and Don’ts of Using AI to Write Performance Reviews – Wall Street Journal
3 Steps to Bring Order to AI in Marketing Teams - Holly Fee
AI Is Ruining Your Leadership Because You Keep Making This Mistake - Entrepreneur
AI Needs Management Consultants After All – Wall Street Journal
Labor market impacts of AI: A new measure and early evidence – Anthropic
AI isn't taking people's jobs. Here's what's really happening – Quartz
10 Urgent AI Takeaways for Leaders – MIT
AI Is Upending Marketing on Two Fronts – Harvard Business Review
By automating technical tasks, computers have pushed people into jobs that place a premium on social skills. The people who fared best tended to combine social skills with substantive knowledge — it rearranged what employers valued. A.I. had supercharged this pattern. A.I. is putting a premium on generalists who take the initiative and excel at cultivating relationships with clients.” -New York Times
Nothing to prove. Nothing to lose.
Synthetic Data – This type of data is produced by a GenAI mathematical model. It can be created from scratch or derived from data that come from real-world systems. Some experts say we are running out of original human data to feed to LLMs for training and can use synthetic data in place of the real thing. If synthetic data can be made to work, it could negate the problem of using copyrighted material for training. Sceptics say using synthetic produced data will lead to a degradation of model’s performance. There is also the danger of misrepresenting synthetic GenAI data as real data, providing fertile ground for misconduct. Previously effective methods of spotting fraudulent data through statistical techniques, such as detection of nonrandom digits, are being made obsolete by the emergence of synthetic data. This possibility is why some scientists consider its use to be unethical.
No one heals in a straight line. -Auschwitz survivor Edith Eva Eger
The website Your AI Slop Bores Me is a fake AI chatbot. Anyone can submit a request for an image or information by typing it into the interface. The response doesn't come from an algorithm — just another human. The site forces its human users to approximate the speed at which a machine would return a response; there's a 75-second time limit. -NPR
Millions of people are pretending to be AI chatbots — for fun – NPR
How Fake People Became Real Influencers AI avatars are redefining influence and trust online. – The Atlantic
Bloodhound code sniffs out copied-and-pasted numerical data – Retraction Watch
Scientists Invented a Fake Disease Caused by Blue Light—Now It's in Medical Papers - Inc
Tackle ‘AI slop’ in education research ‘or lose teacher trust’- Times Higher Ed
Teens Are Using AI to Create “Slander” Videos of Their Teachers – Futurism
Sorry, Mom. You’re Chatting With an A.I. Agent, Not Your Son. – New York Times
How Creators are Fighting back against AI Deepfakes – Rolling Stone
I tried to prove I'm not AI. My aunt wasn't convinced – BBC
These Tools Say They Can Spot A.I. Fakes. Do They Really Work? - New York Times
Arizona women's deepfake lawsuit targets AI porn industry – Axios
A.I. Is Writing Fiction. Publishers Are Unprepared. - New York Times
Thousands have swooned over this MAGA dream girl. She’s made with AI. – Washington Post
His Father Lost His Life’s Savings in a Scam. A Fake Lawyer Offered to Help. - New York Times
Cascade of A.I. Fakes About War With Iran Causes Chaos Online - New York Times
The Perils of Using Generative AI to Perform Research Tasks: Editors’ and Publishers’ Viewpoints – Scholarly Kitchen
An Amish Avatar and an A.I. Monk Are Pitching Supplements on Social Media - New York Times
AI is inventing academic articles – and scholars are citing them – Observer
Teens Are Using AI-Fueled ‘Slander Pages’ to Mock Their Teachers - Wired
AI Deepfakes in the Workplace: A New Frontier of Employer Liability – JD Supra
AI Used to Promote Non-Existent Evacuation Flights From the Middle East – Bellingcat
Three ways AI is making reliable information harder to find - Poynter
A citation alert led researchers to a network of fake articles. But who is benefiting? – Retraction Watch
AI models fail to accurately pick out which social science studies could be replicated – OSF
Pangram said three of my writers produced ‘AI-generated’ articles. That didn’t hold up. – Wall Street Journal
This Is How To Tell if Writing Was Made by AI (video) – Bloomberg
Scientists invented a fake disease. AI told people it was real – Nature
Grammarly Lawsuit Shows Existing Laws Can Combat Deepfakes – Lawfare
Study shows 83% of photographers use AI – has the technology already become an integral part of photography? – Digital Camera World
Sony removes 135,000 'deepfakes' of its artists' music – BBC
Teens get probation after using AI to create fake nudes of classmates – Associated Press
Deepfake X-rays are so real even doctors can’t tell the difference – Science Daily
A coder is now more like an architect than a construction worker. Developers using A.I. focus on the overall shape of the software, how its features and facets work together. Because the agents can produce functioning code so quickly, their human overseers can experiment, trying things out to see what works and discarding what doesn’t. -New York Times
Much of what we call management consists of making it difficult for people to work. -Peter Drucker
Becoming is a service of Goforth Solutions, LLC / Copyright ©2026 All Rights Reserved