Who creates better memes—humans or AI?

Researchers in the EU found:

  • When humans got help from an AI, there were more ideas produced with less work, but the quality wasn’t better.  

  • AI memes did better than human-only collaborative creations though the top-performing memes were human-created

The researchers concluded: “These findings highlight the complexities of human-AI collaboration in creative tasks. While AI can boost productivity and create content that appeals to a broad audience, human creativity remains crucial for content that connects on a deeper level.” 

Read more about the research

Why Most Companies Shouldn’t Have an AI Strategy

Studies show that most organizations are immature when it comes to AI. By that, I mean that throughout the ranks—from the top executives through the rank and file—there is little knowledge of, and experience with, AI and its capabilities, and a reluctance to embrace data-assisted decision-making. All of this will mean any AI strategy will be misguided and inexecutable.  If you are the leadership team and you aren’t familiar with AI, how are you going to build a strategy for AI? You can’t. -Wall Street Journal

Lax AI Security in Schools

The implementation of AI surveillance tools has surged since the COVID-19 pandemic. A recent investigation revealed that reporters from The Seattle Times and Associated Press inadvertently accessed nearly 3,500 sensitive student documents due to inadequate security measures surrounding the district's surveillance technology. These documents included personal writings about depression, bullying, and even LGBTQ+ struggles — information that should have remained confidential. -Read more at Mic

AI Definitions: Convolutional neural networks

Convolutional neural networks (CNNs or ConvNet) – These deep learning artificial neural networks, often used in computer vision for object recognition, are trained on thousands of images—and even then, they often fail when they encounter the same objects under new lighting conditions or from a different angle. CNNs were first introduced in 1989 by NYU professor Yann LeCun and have been used with autonomous vehicles and security camera systems.

More AI definitions here.

25 Recent Articles about AI & Teaching

Using AI to foster self-directed learning – Times Higher Ed

More Teachers Say They’re Using AI in Their Lessons. Here’s How – Ed Week

I Used to Teach Students. Now I Catch ChatGPT Cheats – The Walrus  

There’s a Good Chance Your Kid Uses AI to Cheat – Wall Street Journal

In the age of AI, colleges need to rethink how students learn – Washington Post 

AI detectors are poor western blot classifiers: a study of accuracy and predictive values – PeerJ  

AI: Cheating Matters, but Redrawing Assessment ‘Matters Most’ – Inside Higher Ed

Stanford AI Teaching Guides – Stanford  

Here’s How Teachers Are Using AI to Save Time – Ed Week  

Cal State students are getting access to OpenAI's ChatGPT Edu — a version customized for educational institutions 

Integrate AI as a peer reviewer in writing classrooms - KJZZ

An association representing private school owners in Nigeria, has launched a digital learning platform designed to help students prepare for important national exams – Punching

How AI is reshaping teachers’ jobs – Ed Week  

Arizona’s getting an online charter school taught entirely by AI – Tech Crunch  

OpenAI Unveils New A.I. That Can ‘Reason’ Through Math and Science Problems – New York Times 

Arizona charter school to be taught by AI, not teachers - LinkedIn

ChatGPT outperforms undergrads in intro-level courses, falls short later – Arstechnica 

How to identify AI-generated text: 7 ways to tell if content was made by a bot – Mashable  

OpenAI releases a teacher’s guide to ChatGPT, but some educators are skeptical – Tech Crunch 

Cheating Has Become Normal – Chronicle of Higher Ed 

Employers Say Students Need AI Skills. What If Students Don’t Want Them? – Inside Higher Ed  

AI-powered tutor, teaching assistant tested as a way to help educators and students – CBS

The Course Is About Literature. Its Textbook Was Generated by AI. – Chronicle of Higher Ed 

California college professors have mixed views on AI in the classroom – Ed Source  

Instead of policing student use of AI, California teachers need to reinvent homework – Cal Matters

AI-detection software isn’t the solution to classroom cheating — assessment has to shift – The Conversation

17 Webinars this week about AI, Journalism & Media

Tue, March 18 - The Future of Funding Investigative Journalism: Strategies & Challenges

What: Attendees will learn how to diversify revenue streams, approach funders while safeguarding editorial independence, and adapt to the evolving funding landscape. The panel brings together three top experts with deep experience in media fundraising, business strategy, and philanthropic support for journalism, ready to share their knowledge and real-world strategies.

Who: Pradeep Gairola is vice president and business head at The Hindu, one of India’s leading newspapers; Bridget Gallagher provides fundraising strategy, implementation assistance, and counsel to US and international clients working in media, information access, and civic participation; Willem Lenders is the program manager at Limelight Foundation and co-chair of the Journalism Funders Forum; The moderator is Francisca Skoknic, an accomplished investigative journalist from Chile.

When: 9 am, Eastern

Where: Zoom

Cost: Free

Sponsor: Global Investigative Journalism Network

More Info

 

Tue, March 18 - The World of Social Media

Who: Zachary Piotti, Coordinator & Digital Marketing Consultant at Widener Small Business Development Center.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: The Small Business Development Center Widener University

More Info

 

Tue, March 18 - How to Supercharge Your Data with AI

What: Discover how AI-driven consumer intelligence can help brands and agencies drive meaningful engagement and sustainable growth by leveraging predictive consumer intelligence for enhanced acquisition with leaders from Resonate. You’ll get actionable strategies to: How to use real-time intent signals to spot and act on consumer interest as it happens; Predict churn and best customer modeling to retain customers longer and identify your next best buyers; How to gain first-touch insights to tailor the customer experience from the start with smart website personalization.

Who: Dean de la Pena Vice President, Data Strategy, and SaaS Platform, Grace Hall Product Manager, Data Products Strategy, Resonate.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Resonate

More Info

 

Tue, March 18 - Science Essentials for Local Reporters

What: The key do’s, don’ts, and pitfalls to watch for when including science in your news reporting. Among the topics covered: Knowing whether and how science can enhance your story; Different kinds of studies and what each can—and cannot—reveal; Practical tips for identifying credible scientist-sources and interviewing them; and How to get the essentials from scientific reports, studies, and press releases.

Who: Freelance science reporter Elena Renken and Ph.D. neuroscientist Dr. Tori Espensen

When: 2 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: SciLine

More Info

 

Tue, March 18 - Marketing Trends Nonprofits Need to Know (and Embrace)

What: Join us to discuss the marketing trends that’ll shape your nonprofit’s future and grow your impact, including: Storytelling to impact your nonprofit; Using influencer marketing to increase fundraising; Creating digital experiences that create awareness; Building automation into your marketing and outreach efforts; Taking advantage of latest approaches to search engine optimization;  How to use artificial intelligence (AI) to engage.

Who: Kiersten Hill, the driving force behind Firespring’s nonprofit solutions.

When: 3 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: FireSpring

More Info

 

Tue, March 18 - AI Anxiety? A Google Pro Separates Fact from Fiction

What: This session will help you move beyond the AI hype and into hands-on implementation. Discover how Google's AI tools—like Notebook LM—can streamline your workflow, enhance learning experiences, and empower your team with credible, well-structured AI outputs. You'll leave with concrete steps and resources to confidently incorporate AI into your learning programs.

Who: Nikki Le Head of Impact Evaluation, Assessment, and Research, Google.

When: 3 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: ELB Learning

More Info

 

Tue, March 18 - Piercing the Wall: How to report on sexual abuse in schools

What: Learn how to uncover serious educator misconduct inside often insular academic institutions, including finding sources, obtaining documents, earning trust, interviewing trauma survivors, unlocking key stakeholders and holding educators and administrators accountable.

Who: Matt Drange, a reporter based out of Business Insider's San Francisco bureau. He pieced together, "The predators’ playground: Unraveling 40 years of sexual misconduct at a single California high school."

When: 7 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Student Press Law Center

More Info

 

Wed, March 19 - The Right to Know: Protecting and Expanding Access to Public Records

What: The evolving landscape of government transparency and the fundamental role that information access plays in maintaining an accountable democracy. The discussion will address key topics such as the legal framework behind freedom of information, the obstacles faced by journalists, librarians, researchers, and citizens in securing public records, and the implications of government secrecy on public trust.

Who: Dr. David Cuillier from the Brechner Center for Freedom of Information; Dr. Frank LoMonte, a legal expert; Dr. Kenneth Evans from Rice University’s Baker Institute for Public Policy.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Education Committee of the Government Documents Round Table

More Info

 

Wed, March 19 - Questioning Generative AI Through Zinemaking

What: The self-publishing history of zines includes a long tradition of resistance through storytelling and art. While the explosive growth of generative AI in our society has been embraced by many, those interested in media literacy may have doubts about seemingly endless AI boosterism. In this session, we'll discuss making zines as an accessible way of providing opportunities for everyone to share their thoughts on the impact that generative AI will have on their professional and personal lives. Attendees will learn more about the radical possibilities of zines and create their own minizine exploring their hopes and concerns for generative AI.

Who: Violet Fox is a Cataloging & Metadata Librarian at Northwestern University’s Galter Health Sciences Library. She is the creator of the Cataloging Lab, a wiki designed to encourage collaboration in library metadata.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Media Education Lab

More Info

 

Wed, March 19 - Unlocking Transparency: State Records Requests for Grassroots Groups

What: This session is designed for grassroots organizations looking to submit state public records requests to uncover critical information and hold government officials accountable. We will cover drafting effective records requests, navigating state-specific laws, engaging with agencies, and overcoming common challenges. Whether you're seeking budget documents, email communications, or policy records, we will break it down for you.

Who: Alissa Lopez, Strategic Partnerships Director at American Oversight; Elizabeth Haddix Senior Counsel at American Oversight; Julia Waddles Researcher at American Oversight.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: American Oversight

More Info

 

Wed, March 19 - Advanced Prompt Writing for AI

What: After a quick review of prompt-writing fundamentals, we’ll work on prompts that can do specific designs in MidJourney, DALL-E and the LLMs, including designing a no-code website, and how to double-check that code for malware and other mistakes (there are some good free websites for this). We’ll also work more with Perplexity.ai prompts, which we only touched on in earlier sessions.

Who: Mike Reilley Senior Lecturer, University of Illinois-Chicago.

When: 2 pm, Eastern

Where: Zoom

Cost: Free for ONA members, $25 for nonmembers

Sponsor: Online News Association

More Info

 

Wed, March 19 - How Photojournalism Can Better Capture Stories of Hope, Resilience and Climate Solutions

What: How compelling visuals can transform climate solutions into engaging stories, the role of diverse storytellers and subjects in illuminating community-led solutions, and practical insights for capturing solutions.

Who: Photojournalists Damaso Reyes and Justin Cook; Moderated by Project Drawdown’s Drew Arrieta.

When: 2 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Project Drawdown, Solutions Journalism Network

More Info

 

Wed, March 19 - AI for Nonprofits, Part 1: Unlock Generative AI and Microsoft 365 Copilot for Impact

What: We will dive into the essentials of generative AI, address key AI concerns, and demonstrate how nonprofits can benefit from using Microsoft’s AI assistant, Copilot, to achieve their goals.

Who: Joshua Peskay, RoundTable Technology, 3CPO; Kim Snyder, RoundTable Technology, VP of Data Strategy

When: 3:30 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Tech Soup, Microsoft 

More Info

 

Thu, March 20 - The Local Sports Beat

What: News-academic programs of every size are finding success covering local sports beyond campus. In this discussion, we will hear about what’s working in community sports coverage and how it can strengthen university-led reporting programs.

Who: John Affleck, Knight Chair in Journalism at Penn State; Michael Bruce, department chair of Journalism and Creative Media at the University of Alabama, and Molly Yanity, Director of Sports, Media and Communication at the University of Rhode Island.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: University of Vermont

More Info

 

Thu, March 20 - Breaking money misconceptions: How journalists can get clear about their funding

What: Learn how to combat accusations and build trust by getting on the record about where you get your money, how it influences your coverage and why you rely on community support. Join us as we walk you through best practices of how you can get on the record about your funding. We’ll show examples of how other newsrooms are doing this, and give you sample disclosures you can copy to use in your own reporting.

When: 1 pm, Eastern  

Where: Zoom

Cost: Free

Sponsor: Trusting News

More Info

 

Thu, March 20 - Online Reporter Caucus: Understanding the New Higher Ed Landscape

What: Help for reporters to make sense of the quickly evolving landscape for higher education students, staff and communities. Reporters will have the opportunity to share ideas, exchange tips and collaborate.  

Who: Megan Henry, reporter, Ohio Capital Journal; Bianca Quilantan, higher education reporter, Politico.

When: 1 pm, Eastern

Where: Zoom

Cost: Free to EWA members

Sponsor: Education Writers Association

More Info

 

Thu, March 20 - Covering the Second Trump Administration

What: How what the Trump administration is doing affects journalists covering Long Island and the region. for Long Island media.

Who: PCLI Board Member Bill Bleyer will moderate, a panel of speakers, including: Tom Brune who has covered Washington for Newsday for 25 years, Harold Holzer has been the director of the Roosevelt House Public Policy Institute at Hunter College, John C. Zaher, founder of the Public Relations and Marketing Group.

When: 7 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: The Press Club of Long Island

More Info

AI Definitions: AI Washing

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 AI.

More AI definitions here.

Turning AI innovations into measurable business outcomes

A media company using generative AI for content creation must connect the project to business goals like increasing audience engagement or reducing production costs. Without this clear focus, the technology might produce content, but it may not resonate with the target audience or contribute to the company’s bottom line.  The successful integration of generative AI is not just about technology but about people. Collaboration between technical teams, business leaders, and end users is essential to ensure that AI projects deliver practical value. Generative AI is not just about creating new things but about creating value. - Mike Zhou writing in TechTalks

23 Recent Articles about AI Fakes & Deepfakes

What Journalists Should Know About Deepfake Detection in 2025 – Columbia Journalism Review

Sony Music says over 75,000 songs in battle against AI deepfakes – Gizmodo 

‘Hi mom, it’s me’: voice cloning services demand stronger voice deepfake detection – BioMetricUpdate

Dark Side of GenAI: Ethical Dilemmas Threatening Our Future – Analytics Insight  

AI Search Has A Citation Problem – Columbia Journalism Review 

Celine Dion warns fans to beware of fake, AI-generated songs appearing online – CNN

YouTubers are being scammed with AI-generated deepfake videos – PC World

AI can steal your voice, and there's not much you can do about it – NBC News

Deepfakes, cash and crypto: how call centre scammers duped 6,000 people – The Guardian

I was so freaked out by talking to this AI that I had to leave – PC World

Chinese AI Video Generators Unleash a Flood of New Nonconsensual Porn – 404 Media

AI detectors are poor western blot classifiers: a study of accuracy and predictive values – PeerJ

Fake Video of Trump and Musk Appears on TVs at Housing Agency – New York Times

A ‘True Crime’ Documentary Series Has Millions of Views. The Murders Are All AI-Generated – 404 Media

Scarlett Johansson warns of 'AI misuse' after fake Kanye video – BBC

AI Slop of Musk and Trump on TikTok Racks Up 700 Million Views – 404 Media

Schools face a new threat: "nudify" sites that use AI to create realistic, revealing images of classmates – CBS News

AI enters Congress: Sexually explicit deepfakes target women lawmakers – 19th News

AI nude photo investigation uncovers twice as many likely victims at Lancaster Country Day – WGAL  

Deepfakes didn’t disrupt the election, but they’re changing our relationship with reality – The Hill

Scarlett Johansson Slams AI Video of Celebrities Fighting Kanye West’s Antisemitism: ‘We Must Call Out the Misuse of AI, No Matter Its Messaging’ – Variety

How to Tell If Your Job Candidate Is an AI Deepfake – INC

Judge fines lawyers in Walmart lawsuit over fake, AI-generated cases – Reuters

What makes data real?

The beautiful images of galaxies, nebulas, and other astronomical objects produced by radio telescopes have been processed several times and colorized before we see them, but we still consider these images to be real and not synthetic.

So, what makes data real? Real data are data that have been generated by a process that is appropriately connected to real phenomena, where the terms “appropriately connected” and “real” are defined by the relevant research community. For example, we can say that an MRI image of the brain is real because it has been produced by a process that is appropriately connected to a real brain. However, sometimes MRI machines produce images that radiologists classify as (unreal) artifacts because they have been produced, for example, by the scanner itself or by the patient’s movements.

Referring to data as “real” does not necessarily entail a commitment to a physicalist notion of reality. Data could be about physical, chemical, biological, social, or psychological phenomena. For example, we would consider data concerning biodiversity, stock prices, suicidal ideation, or cultural taboos to be real data, even though the phenomena they refer to cannot be equated with specific physical objects. The data could be about things we cannot directly observe, such as electrons, quarks, entropy, or dark matter. What matters most is that the relevant scientific community considers the data to be about real phenomena.

Read more at the PNAS (Proceedings of the National Academy of Sciences of the United States of America)

AI Discovers Ancient Civilizations

Artificial intelligence has discovered ancient civilizations over 5,000 years old hidden beneath some of the world's largest deserts, including one in the heart of the Dubai desert, without the use of a single shovel.  Advancements in remote sensing and data analysis using artificial intelligence have transformed archaeology, improving the efficiency and effectiveness of excavations. The integration of AI and Synthetic Aperture Radar (SAR) proved especially powerful. SAR technology provides high-resolution images of structures buried beneath the earth's surface, capable of penetrating natural barriers such as sand, vegetation, and ice. Read more at the Jerusalem Post

23 Recent Articles about AI & The Arts

Flora is building an AI-powered ‘infinite canvas’ for creative professionals – Tech Crunch 

UK ministers consider changing AI plans to protect creative industries – The Guardian

The New Leverage: AI and the Power of Small Teams - Jarango 

Not all creativity is worth saving – Fast Company

Christie’s AI Art Sale Defies Controversy, Surpasses Expectations - ArtNews 

A lab at the University of Chicago is protecting artists from theft by a new adversary: the machines – Chicago Mag 

Musicians releases a “silent record” in outrage at a proposed change to British copyright law – New York Times 

How AI can help in the creative design process – The Conversation

Dow Jones has quietly built an AI marketplace for publishers to license their content to corporations – Axios

A ‘True Crime’ Documentary Series Has Millions of Views. The Murders Are All AI-Generated – 404 Media

Hollywood writers say AI is ripping off their work. They want studios to sue – LA Times  

First Christie’s Auction Devoted Exclusively To AI Art Sparks Backlash – Forbes  

Oscars Consider Requiring Films to Disclose AI Use – Variety  

AI is turning the arts into a Waste Land – Washington Post

AI transparency framework in Design – UX Design  

Copyright Office Offers Assurances on AI Filmmaking Tools – Variety

Top 6 Examples of AI Guidelines in Design Systems – SuperNova

Denying Copyright for AI-Assisted Art Threatens Innovation – Data Innovation  

This play is a flawed look at AI – Washington Post 

Sotheby's to auction its first artwork made by a humanoid robot – CBS News

More than 10,500 actors, musicians and authors protest tech’s AI data grab - Washington Post

Exploring a digital music teaching model integrated with recurrent neural networks under AI – Nature  

AI and the Arts: What does this mean for future artists? – WUFT  

AI Definitions: Synthetic Data

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.

More AI definitions here.