16 Articles about Social Media & AI

How Meta YouTube TikTok & Others labels AI – Axios  

AI Is Flooding Social Media. Here's How to Make Sure You Don't Get Lost in the Robotic Noise. – Entrepreneur

Does Generative AI Content Have a Place in Social Media? – SocialMediaToday

Meta's AI-everywhere push raises hackles - Axios

Facebook says Sorry its AI Flagged Aschwitz Museum Posts as Offensive – Futurism

More Generative AI Tools Are Coming to Social Apps — Is That a Good Thing? - SocialMediaToday

Meta debuts new AI assistant and chatbots - Axios

LinkedIn taps AI to make it easier for firms to find job candidates – Reuters

Slack’s New CEO Brings Generative AI to the Workplace Conversation - Wall Street Journal

LinkedIn expands its generative AI assistant to recruitment ads and writing profiles – Tech Crunch

Instagram Experiments With Range of Generative AI Elements - SocialMediaToday

LinkedIn Says ChatGPT-Related Job Postings Have Ballooned 21-Fold Since November – Forbes

How to Use AI Tools to Easily Make Short-Form TikTok and Reels Videos – Tech.no 

TECH What happens when we train our AI on social media? – Fast Company   

AI-generated images have become the latest form of social media spam – The Conversation  

Meta’s AI chatbot is coming to social media. Misinformation may come with it. – Washington Post

A Dozen Quotes about AI & Academic Scholarship

AI chatbots have thoroughly infiltrated scientific publishing. One percent of scientific articles published in 2023 showed signs of generative AI’s potential involvement, according to a recent analysis - Scientific American 

The journey from research data generation to manuscript publication presents many opportunities where AI could, hypothetically, be used – for better or for worse. - Technology Network

Is ChatGPT corrupting peer review? There are telltale words that hint at AI use. A study of review reports identifies dozens of adjectives that could indicate text written with the help of chatbots. - Nature 

Should researchers use AI to write papers? This group aims to release a set of guidelines by August, which will be updated every year - Science.org

Generative AI firms should stop ripping off publishers and instead work with them to enrich scholarship, says Oxford University Press’ David Clark. - Times Higher Ed 

Here are three ways ChatGPT helps me in my academic writing. Generative AI can be a valuable aid in writing, editing and peer review – if you use it responsibly - Nature 

New detection tools powered by AI have lifted the lid on what some are calling an epidemic of fraud in medical research and publishing. Last year, the number of papers retracted by research journals topped 10,000 for the first time. - DW News (video) 

Estimating the prevalence of ChatGPT "contamination” in the scholarly literature: It is estimated that at least 60,000 papers (slightly over 1% of all articles) were LLM-assisted - ArXiiv 

AI-Generated Texts from LLM has infiltrated the realm of scientific writing? We confirmed and quantified the widespread influence of AI-generated texts in scientific publications across many scientific domains - BioRxiv 

Georgetown found that American scholarly institutions and companies are the biggest contributors to AI safety research, but it pales in comparison to the amount of overall studies into AI, raising questions about public and private sector priorities. - Semafor 

Google Books is indexing low quality, AI-generated books that will turn up in search results, and could possibly impact Google Ngram viewer, an important tool used by researchers to track language use throughout history. - 404Media

The Association of Research Libraries announced a set of seven guiding principles for university librarians to follow in light of rising generative AI use. - Inside Higher Ed

16 Great Quotes about AI Fakes & Detection

There are limited guardrails to deter politicians and their allies from using AI to dupe voters, and enforcers are rarely a match for fakes that can spread quickly across social media or in group chats. The democratization of AI means it’s up to individuals — not regulators — to make ethical choices to stave off AI-induced election chaos. – Washington Post

Adobe surveyed more than 2,000 people in the U.S. and 63% of said they would be less likely to vote for someone who uses GenAI in their promotional content during an election. – Fast Company

Even a false-positive rate in the single digits will, at the scale of a modern social network, make tens of thousands of false accusations each day, eroding faith in the detector itself. - IEEE Spectrum 

It took me two days, $105 and no expertise whatsoever to launch a fully automated, AI-generated local news site capable of publishing thousands of articles a day—with the partisan news coverage framing of my choice, nearly all rewritten without credit from legitimate news sources. I created a website specifically designed to support one political candidate against another in a real race for the U.S. Senate. And I made it all happen in a matter of hours.- Wall Street Journal

"Tools to detect AI-written content are notoriously unreliable and have resulted in what students say are false accusations of cheating and failing grades. OpenAI unveiled an AI-detection tool in Jan, but quietly scrapped it due to its “low rate of accuracy.” One of the most prominent tools to detect AI-written text, created by plagiarism detection company Turnitin.com, frequently flagged human writing as AI-generated, according to a Washington Post examination." – Washington Post

It’s important to remember that generative models shouldn’t be treated as a source of truth or factual knowledge. They surely can answer some questions correctly, but this is not what they are designed and trained for. It would be like using a racehorse to haul cargo: it’s possible, but not its intended purpose … Generative AI models are designed and trained to hallucinate, so hallucinations are a common product of any generative model … The job of a generative model is to generate data that is realistic or distributionally equivalent to the training data, yet different from actual data used for training. - InsideBigData

“No single tool is considered fully reliable yet for the general public to detect deepfake audio. A combined approach using multiple detection methods is what I will advise at this stage." Politifact

Too many educators think AI detectors are ‘a silver bullet and can help them do the difficult work of identifying possible academic misconduct.’ My favorite example of just how imperfect they can be: A detector called GPTZero claimed the US Constitution was written by AI. – Washington Post

Most deepfake audio detection providers “claim their tools are over 90% accurate at differentiating between real audio and AI-generated audio.” An NPR test of 84 clips revealed that the detection software often failed to identify AI-generated clips, or misidentified real voices as AI-generated, or both.”  - NPR 

In a year when billions of people worldwide are set to vote in elections, AI researcher Oren Etzioni continues to paint a bleak picture of what lies ahead. “I’m terrified. There is a very good chance we are going to see a tsunami of misinformation.” – New York Times

Google appears to have quietly struck a deal with one of the most controversial companies using AI to produce content online: AdVon Commerce, the contractor linked to Sports Illustrated's explosive AI scandal.  Google is trying to have it both ways: modifying its algorithms to suppress AI sludge while actively supporting attempts to create vastly more of it. – Futurism

Most online detection tools do not provide sufficient information about their development, making it difficult to evaluate and trust the detector results and their significance. - Global Investigative Journalism Network 

Run some of your other writing dated before the arrival of ChatGPT in the fall of 2022 through an AI detector, to see whether any of it gets flagged. If it does, the problem is clearly the detector, not the writing. (It’s a little aggressive, but one student told me he did the same with his instructor’s own writing to make the point.) – Washington Post

Men are quite confident (72%) in their ability to tell real news from fake news than women (59%), according to new polling from the Ipsos Consumer Tracker. We see a similar gender gap when it comes to our perceived ability to tell content that was created by AI. - Ipsos

A former high school athletic director was arrested after allegedly using AI to impersonate the school principal in a recording that included racist and antisemitic comments. The principal was temporarily removed from the school, and waves of hate-filled messages circulated on social media, while the school received numerous phone calls. – CBS News

Dubbed “model disgorgement,” AWS researchers have been experimenting with different computational methods to try and remove data that might lead to bias, toxicity, data privacy, or copyright infringement. – Semafor

12 Articles about the Business of Running an AI

Meet the AI Expert Advising the White House, JPMorgan, Google and the Rest of Corporate America - Wall Street Journal

Meta Says It Plans to Spend Billions More on A.I. - New York Times

DeepMind CEO Says Google Will Spend More Than $100 Billion on AI – Bloomberg

Generative AI Is Changing the Hiring Calculus at These Companies – Wall Street Journal 

Microsoft Makes a New Push Into Smaller A.I. Systems - New York Times 

OpenAI prepares to fight for its life as legal troubles mount – Washington Post

Four Takeaways on the Race to Amass Data for A.I. – New York Times

AI is powering Google to a $2 trillion market cap – Quartz

Mistral, a French start-up considered a promising challenger to OpenAI and Google – New York Times 

Humane releases its widely anticipated Ai Pin, a wearable badge that doubles as an AI-powered smart device – Tech Crunch

Tech Leaders Once Cried for AI Regulation. Now the Message Is ‘Slow Down’ - Wired

How Tech Giants Cut Corners to Harvest Data for A.I. – New York Times

33 Articles from April about Data Science & AI

 A starter guide to data structures for AI and machine learning 

Understanding neuro-symbolic AI

Novel Bayesian Deep Learning Model with Kernel Dropout Designed to Enhance the Reliability of Predictions

Denoising Radar Satellite Images with Python Has Never Been So Easy 

Transform Neural Networks are “revolutionizing natural language processing”

The proliferation of LLMs and the generative AI movement have created fertile ground for vector database technologies 

AI Definitions: Deep Learning

Generative AI in Content Creation for data science, data engineering, & machine learning

Vector databases in AI and LLM use cases

14 Articles about AI & the US Military

The Pentagon wants to build thousands of easily replaceable, AI-enabled drones

Embedding AI to escalate geospatial

Geospatial Data Analysis using a Python library called Geemap for creating interactive maps 

A neural network microchip from China that uses photons instead of electrons can run AI tasks as well as its electronic counterparts with a thousandth as much energy

Researchers have seen neural networks discover novel solutions to problems by grokking them

Six examples of AI for parsing geospatial data

AI Definitions: Small Language Models  

Some of the most influential deep learning architectures: CNNs, RNNs, GANs, Transformers, and Encoder-Decoder architectures 

Applying the 6 steps of the INSPIRe framework to accelerate your code generation for LLMs

Why small language models are the next big thing in AI

About 9.6K satellites are in orbit generating a growing demand for businesses that specialize in traffic management and satellite monitoring 

The Math Behind Fine-Tuning Deep Neural Networks

Large language models are capable of feigning lower intelligence than they possess

10 top use cases for vector databases that generate organizational value

‘Lavender’: The AI machine directing Israel’s bombing in Gaza 

The resurgence of vector databases has led to a challenge to graph and relational approaches 

The math behind neural networks 

Technical Debt & Ethical Debt

Deep dive into Sora’s diffusion transformer by hand

China launched its first Yaogan-42 satellite adding to the country’s growing military satellite reconnaissance capabilities

Here are ten algorithms that are a great introduction to machine learning for any beginner

Why transparency leads to ethical and fair AI systems

Julia vs. Python for data science

20 Webinars in the next 2 weeks about AI, Journalism, Climate, Health & More

Tue, April 30 - What to Know About Treatment-Resistant Depression

What: Treatment-resistant depression and learn how to cover this complex medical condition with depth and nuance.

Who: Dr. Maurizio Fava Chair, Department of Psychiatry/Psychiatrist-in-Chief, Massachusetts General Hospital; Dr. Lisa Harding Board Certified Psychiatrist & Depression Expert; Courtenay Harris Bond Staff Writer, Philly Voice; Dr. John Tumeh Chief of Psychiatry, Foundation Psychiatry.

When: 12 noon, Eastern

Where: Zoom

Cost: Free

Sponsor: National Press Foundation, Johnson & Johnson

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Tue, April 30 - Storytelling for Impact

What: Tips, techniques and tools to help the modern marketer tell better and more impactful stories to activate their audiences around ideas and actions.

Who: Kiersten Hill Director of Nonprofit Solutions

When: 2 pm, Central

Where: Zoom

Cost: Free

Sponsor: FireSpring

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Tue, April 30 - Investigating the Israel-Hamas Conflict

What: Three senior investigative journalists will share tips and tools on how to work in such a perilous reporting environment, and techniques for digging into war atrocities.

Who: Sarah El-Deeb has been an Associated Press (AP) journalist since 2000, with extensive experience reporting in the Middle East. Peter Polack is a research-based designer and software developer with Forensic Architecture (FA), a research agency based at Goldsmiths, University of London, which develops, employs, and disseminates new techniques, methods, and concepts for investigating state and corporate violence. Phil Rees is the Director of Investigative Journalism at Al Jazeera. The moderator is Rachel Oldroyd, Deputy Investigations Editor of the Guardian.

When: 9 am, Eastern

Where: Zoom

Cost: Free

Sponsor: Global Investigative Journalism Network

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Tue, April 30 - AI while avoiding the cloud: running local models

(also offered May 2)

What: What the open-source, locally-run ecosystem looks like for chatbots and large language models. We'll look at performance compared to the closed-off options, setup and hardware requirements, "uncensored" models and common technical adaptations like quantization that trades off ability for those of us without cutting-edge desktops.

Who: Jonathan Soma, Knight Chair in Data Journalism at Columbia's Journalism School and director of both the year-long Data Journalism MS and ten-week Lede Program summer bootcamp.

When: 9 am, Eastern

Where: Zoom

Cost: Free

Sponsor: Columbia Journalism School

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Wed, May 1 - Disinformation, Elections & Democracy: How journalists can spot and disarm current tactics to influence voters

What: A practical look at current tactics used by disinformation specialists to disrupt the 2024 election and what journalists can do to counter them.

Who: Tina Barton, senior elections expert, Committee for Safe and Secure Elections; Yael Eisenstat, senior fellow at Cybersecurity for Democracy and PEN America consultant; Christine Fernando, democracy reporter, Associated Press; Sheera Frenkel, technology reporter for the New York Times

When: 11:30, Eastern

Where: Zoom

Cost: Free

Sponsor: National Press Club Journalism Institute

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Wed, May 1 - Choosing Words During War: Covering the Israel-Gaza Conflict

What: How do newsrooms decide what words to use in covering a complex conflict? In a quick-moving story, how should journalists decide if and when information is solid enough to publish? Has the current war presented new challenges, and what policies have changed or grown out of it?

Who: John Daniszewski, Vice President and Editor at Large for Standards, The Associated Press; David Folkenflik, Media Correspondent, NPR News; Steven Holmes, Former Executive Director, Standards & Practices, CNN; Pulitzer Prize winner for New York Times, "How Race Is Lived in America"; New York-based journalist Jane Eisner, former Director of Academic Affairs, Columbia Journalism School, and former Editor-in-Chief, The Forward.

When: 12 noon, Eastern

Where: Zoom

Cost: Free

Sponsor: Columbia Journalism School, The Institute for Israel and Jewish Studies at Columbia University

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Wed, May 1 -  Environmental Journalists on the Frontlines of Democracy

What: A celebration of the important role of environmental journalism and a highlighting of the need to protect journalists around the world from surveillance, censorship, oppression, and violence.

Who: Jon Sawyer, Pulitzer Center Leadership; Meaghan Parker, of the Society of Environmental Journalists; Jeje Mohammed, of PEN America; Clayton Weimers, of Reporters Without Borders USA; and independent journalist Sandhya Ravishanka.

When: 10 am, Eastern

Where: Zoom

Cost: Free

Sponsor: Wilson Center’s Environmental Change and Security Program (ECSP), in partnership with the Society of Environmental Journalists.

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Wed, May 1 - Why Press Freedom Matters: Exploring Evan Gershkovich’s Case

What: We’ll look at a high-profile example of the denial of press freedoms: the case of Wall Street Journal reporter Evan Gershkovich, who was wrongfully detained in Russia last year on bogus charges of spying.

Who: Wall Street Journal Assistant Editor Paul Beckett, who leads the Journal’s efforts at securing Gershkovich’s release, will discuss the case with New Literacy Project’s Brittney Smith.

When: 5 pm, Central

Where: Zoom

Cost: Free

Sponsor: News Literacy Project

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Thu, May 2 - AI while avoiding the cloud: running local models

(a second offering of an April 30 event)

What: What the open-source, locally-run ecosystem looks like for chatbots and large language models. We'll look at performance compared to the closed-off options, setup and hardware requirements, "uncensored" models and common technical adaptations like quantization that trades off ability for those of us without cutting-edge desktops.

Who: Jonathan Soma, Knight Chair in Data Journalism at Columbia's Journalism School and director of both the year-long Data Journalism MS and ten-week Lede Program summer bootcamp.

When: 9 am, Eastern

Where: Zoom

Cost: Free

Sponsor: Columbia Journalism School

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Thu, May 2 - Universities + public media + Election 2024 = an amazing opportunity

What: Election 2024 is an incredible opportunity for college students and public media stations to work together. How can student-led journalism reach new audiences and approach political coverage in a fresh way? We’ll learn what’s happening all across the U.S. from America Amplified, and on the ground in one mid-sized Midwestern community.

Who: Chelsea Nebeker-Naughton Digital Engagement Manager America Amplified; Jenna Dooley News Director Northern Public Radio; Katelynn McIlwain Managing Editor KBIA/University of Missouri.

When: 12 noon, Central

Where: Zoom

Cost: Free

Sponsor: The University of Vermont and University Station Alliance

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Thu, May 2 - AI Driven Content Creation: Crafting Compelling Blogs

What: Explore how artificial intelligence can revolutionize content creation, particularly for blogs. Dive into the world of AI and learn how to leverage these technologies to produce compelling, engaging, and effective blog content that resonates with your audience.

Who: Casey Remolde, Chief Social Media Strategy Specialist at Kutztown Small Business Development Center; Nicole Stabile, Web Design Specialist at Kutztown Small Business Development Center.

When: 5 pm

Where: Zoom

Cost: Free

Sponsor: Kutztown University

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Thu, May 2 - The Intersections of Press Freedom and the Environment

What: This panel discussion will address obstacles U.S. journalists face when reporting urgent climate change and environmental issues for their communities — whether violence or arrest when covering environmental protests or denials of access and legal obstructions when investigating centers of political and corporate power.

Who: Carlos Berríos Polanco, writer and photojournalist from Caguas, Puerto Rico, specializing in climate and conflict topics; Halle Parker, journalist and Society of Environmental Journalists board member, who covers the environment for WWNO's Coastal Desk and Sea Change podcast; Caitlin Vogus, deputy director of advocacy at Freedom of the Press Foundation; Adam Glenn, deputy editor at Freedom of the Press Foundation.

When: 11 am, Central

Where: Zoom

Cost: Free

Sponsor: Freedom of the Press Foundation and the Society of Environmental Journalists

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Sat, May 4 - Next Gen Reporting for a Climate in Crisis

What: A conversation that focuses on empowering young journalists in the climate movement, and exploring their pivotal role in addressing pressing environmental challenges.

Who: Oleksii Otkydach (Ukraine), Political Analyst, La Sexta; Meghana Guntur (India), Corporate Interface Team Member, Symbiosis Institute of Media and Communication; Sisanda Nkoala (South Africa), Associate Professor in the Linguistics Department at the University of the Western Cape; Sarah Swetlik, Climate Change and Environmental Reporter, The Greenville News; Pratika Katiyar, Board of Directors Student Member, Student Press Law Center; Peris Tushabe (Uganda), Program Coordinator for Free Expression and Education, PEN America;

When: 9 am, Central

Where: Zoom

Cost: Free

Sponsor: Pen America, Student Press Law Center  

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Mon, May 6 - Sciline Crash Course: Science Essentials for Local Reporters

What: 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: Former longtime Washington Post science reporter Rick Weiss and Ph.D. neuroscientist Dr. Tori Fosheim.

When: 2 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Society of Environmental journalists

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Tue, May 7 - Mini Lab: AI Tools for Research

What: AI tools you can use now to augment your research

Who: Newsroom Robots podcast host Nikita Roy

When: 3 pm, Eastern

Where: Zoom

Cost: Free for members, $25 for nonmembers

Sponsor: Online News Association

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Wed, May 8 - Leveraging AI in your Audience Engagement Strategy

What: Employing AI as part of your audience engagement strategy. We’ll explore how AI can help you identify communities and partnership opportunities, streamline workflows and craft messaging. We’ll also cover what only good old AE (Actual Experience) can do when it comes to Audience Engagement.

Who: Mike Reilley, Senior Lecturer, University of Illinois-Chicago; Jennifer Brandel CEO & Co-Founder, Hearken.

When: 2 pm, Eastern

Where: Zoom

Cost: Free for members, $25 for nonmembers

Sponsor: Online News Association

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Wed, May 8 - Local News: Why It Matters and How It's Changing

What: Media leaders discuss key issues and innovations in journalism including the changes and challenges, the new technology and tools for gathering and sharing the news — and answer all your questions during the Q & A.

Who: Beryl Love, Executive Editor and Vice President of News for the Cincinnati Enquirer; Jennifer Merritt, Deputy Editor/ Digital Editor for WVXU; Ann Thompson, Digital Media Producer for CET

When: 6 pm, Central

Where: Zoom

Cost: Free

Sponsor: Woman's City Club of Greater Cincinnati

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Wed, May 8 - How health journalists think about their roles amid current challenges

What: Our analyses identify role conceptions that are specific to the work of health journalists in the current political climate.

Who: Dr. Amanda Hinnant is an associate professor at the University of Missouri, School of journalism, where she holds the Wallace Turner Memorial Faculty Fellowship; Dr. Rachel Young is an associate professor and director of undergraduate studies in the School of Journalism and Mass Communication, University of Iowa.

When: 8 am, Central

Where: Zoom

Cost: Free

Sponsor: Bournemouth University Centre for Science, Health & Data Comm Research

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Thu, May 9 - What is service journalism and how do I do it right?

What: A wide-ranging discussion on all things service journalism.

Who: Tim Herrera, former editor of NYT's service desk Smarter Living.

When: 3 pm, Central

Where: Zoom

Cost: $20

Sponsor: Freelancing With Tim

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Fri, May 10 - Covering trans and LGBTQ+ issues during 2024

What: Trans people and DEIB programs are in the crosshairs of state leaders, legislatures, policymakers, and school boards. Journalists must be prepared to report and share the impact of these efforts, as well as how political candidates are using them to influence voters.

Who: Katie Barnes, digital feature writer; ESPN Lex McMenamin, news and politics editor, Teen Vogue; Phoebe Petrovic, investigative reporter, Wisconsin Watch; Moderator: Gina Chua, executive editor, Semafor. 

When: 11:30 am, Eastern

Where: Zoom

Cost: Free

Sponsor: National Press Club Journalism Institute

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16 Recent Articles about AI-generated Fakes

Henry Cavill James Bond Trailer Gets 2.3M Views Despite Being an AI Fake – Hollywood Reporter

23 of the best deepfake examples that terrified and amused the internet – CreativeBloq

How to spot AI-generated deepfake images – Associated Press

AI-generated audio deepfakes are increasing. We tested four tools designed to detect them. - PolitiFact

Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text - arXiv

Wait, Can Turnitin Actually Detect If You Use ChatGPT For A Paper? – Her Campus

How to Spot AI-Generated Images – Every Pixel 

A machine-learning tool can easily spot when chemistry papers are written using the chatbot ChatGPT – Nature  

AI bots are everywhere now. These telltale words give them away. - Washington Post

Disinformation poses an unprecedented threat in 2024 — and the U.S. is less ready than ever – NBC News

AI washing explained: Everything you need to know – Tech Target

How to Spot AI Fakes (For Now) – McGill University  

The telltale signs of AI-generated images, video and audio, according to experts – News Nation

Spot the deepfake: The AI tools undermining our own eyes and ears – Politico

Hijacked Facebook Pages are pushing fake AI services to steal your data – ZDNet

Teen Girls Confront an Epidemic of Deepfake Nudes in Schools – New York Times

AI Definitions: Deep Learning

Deep Learning – Training computers to use neural networks and solve problems. It involves a particular kind of mathematical model. The word “deep” means that the composition has many “blocks” of neural networks stacked on top of each other, and the trick is adjusting the blocks that are far from the output, since a small change there can have very indirect effects on the output. It is the dominant way to help machines sense and perceive the world around them. It powers the image-processing operations of firms like Facebook and Google, self-driving cars, and Google’s on-the-fly language translations. 

More AI definitions here.

14 Articles about AI & the US Military

Why the Pentagon wants to build thousands of easily replaceable, AI-enabled drones – Vox

The U.S. Military’s Investments Into Artificial Intelligence Are Skyrocketing - TIME 

U.S. military pits AI against human pilots in first ever dogfight test – Semafor

What War by A.I. Actually Looks Like – New York Times 

Google will provide AI to the military for disaster response – Washington Post

How Ukraine is using AI to fight Russia – Economist

Artificial Intelligence Changing Way Military Health System Delivers Health Care – Dvidshub

Israel offers a glimpse into the terrifying world of military AI - Washington Post

OpenAI drops ban on military tools to partner with the Pentagon – Semafor

Tech Companies Turned Ukraine Into an AI War Lab - TIME

AI models consistently favor using nuclear weapons in war games – Wired

Pentagon explores military uses of large language models - Washington Post

Scale AI to set the Pentagon’s path for testing and evaluating large language models  - Defense Scoop

Ukraine's attacks on Russian oil refineries shows the growing threat AI drones pose to energy markets – NBC Connecticut

Defining Artificial Intelligence

Artificial Intelligence (AI) - Basically, it means “making machines intelligent”, so they can take some decisions on their own according to the situations without the need of any human interference. The phrase was coined, says The Economist, in a research proposal written in 1956. The defining feature of artificial intelligence is that behavior is learned from data rather than explicitly programmed. The current excitement about the field was kick-started in 2012 by an online contest called the ImageNet Challenge, in which the goal was getting computers to recognize and label images automatically.

More AI definitions here.

A Dozen Recent AI Prediction Articles

Why small language models are the next big thing in AI – Venture Beat

What’s next for generative video – MIT Tech Review

Thanks to AI, people may no longer feel the need to learn a second language – The Atlantic

Natural language instructions induce compositional generalization in networks of neurons – The Journal  Nature 

AI Will Mean Cheaper Food – Wall Street Journal

The Year Ahead in AI: AI Predictions for 2024 – Expert AI

What an AI-powered future of data science looks like – Fast Company

A.I. Is Learning What It Means to Be Alive - New  York Times

What’s next for generative AI: Household chores and more – MIT Management

 Experts Concerned by Signs of AI Bubble - Futurism

AI Has Lost Its Magic That’s how you know it’s taking over - The Atlantic

How the A.I. That Drives ChatGPT Will Move Into the Physical World – New York Times

13 Things People are Trying to Get AI to Do

The brain-computer interface race is on, with AI speeding up developments – Semafor  

What’s next for generative AI: Household chores and more – MIT Management

Police Departments Are Turning to AI to Sift Through Millions of Hours of Unreviewed Body-Cam Footage - ProPublica

Deal Dive: Can AI fix lost and found? – Tech Crunch 

1 in 3 people are lonely. Will AI help, or make things worse? – The Conversation

Samsung to release Ballie, an AI home robot with a projector, in 2024 – Washington Post

Will Chatbots Teach Your Children? – New York Times 

AI Is Helping Pick What You’ll Wear in Two Years – Bloomberg

Can AI count hate crimes? – Semafor

TurboTax and H&R Block’s AI chatbots are giving bad tax advice – Washington Post

What happens when ChatGPT tries to solve 50,000 trolley problems? – Ars Technica

Can AI Unlock the Secrets of the Ancient World? – Bloomberg

How One Tech Skeptic Decided A.I. Might Benefit the Middle Class – New York Times

18 Recent Articles about Teaching & AI

More Teachers Are Using AI-Detection Tools. Here’s Why That Might Be a Problem – EdWeek

Actionable strategies for integrating AI into the classroom – Higher Ed Dive

Teachers are embracing ChatGPT-powered grading – Axios

The Responsible Use of Generative AI in Education Technology – Epam

Ban or Embrace? Colleges Wrestle With A.I.-Generated Admissions Essays. - The New York Times 

7 AI Tools That Help Teachers Work More Efficiently – Edutopia  

Teachers and professors now using AI as a learning tool – Scripts

Claude AI – PDF Analysis for Teachers – The AI English Teacher  

Will Chatbots Teach Your Children? - The New York Times

AI Will Shake Up Higher Ed. Are Colleges Ready? – Chronicle of Higher Ed

By infusing GPT with its own database of lesson plans, essays and sample problems, Khan Academy improved accuracy and reduced hallucinations. – Washington Post 

How AI Should Change Math Education – Ed Week

How artificial intelligence can help build real intelligence in the classroom – Harvard

Teaching With AI — What You Need To Know – Forbes

UNC Journalism Professors Grapple With Teaching AI as it Upends the Media Landscape - Indy Week

Is early childhood education ready for AI? – Hechinger Reports

Business Schools Are Going All In on AI – Wall Street Journal

Using Generative AI to Teach Philosophy – Daily Nous

17 Articles about the Business of Running an AI Company

What to Know About Tech Companies Using A.I. to Teach Their Own A.I. - New York Times

Google's DeepMind CEO says the massive funds flowing into AI bring with it loads of hype and a fair share of grifting - Business Insider

Amazon Abandons AI Grocery Stores – Futurism

For AI firms, anything "public" is fair game - Axios

Big tech companies are expanding their AI empires using old playbooks - Semafor

Big AI is just going to keep getting bigger - Axios

The Fear That Inspired the Creation of OpenAI - Wired

Google Co-Founder Admits The Tech Giant Got Its AI Image Generation Tool All Wrong - Digg

Google’s AI problems expose deeper industry dilemma - Semafor

OpenAI expands its communications operation - Axios 

More than 100 top AI researchers have signed an open letter calling on generative AI companies to allow investigators access to their systems - Washington Post

Adobe Finds AI Hype Is a Two-Edged Sword - Wall Street Journal

Nvidia reveals Blackwell B200 GPU, the ‘world’s most powerful chip’ for AI - The Verge

The Fight for AI Talent: Pay Million-Dollar Packages and Buy Whole Teams - Wall Street Journal

Google considering making users pay for AI search results – Futurism

How the Ad Industry Is Making AI Images Look Less Like AI  - Wall Street Journal

Google’s AI still giving idiotic answers nearly a year after launch why is it still so crappy? - Futurism

8 Free Webinars This Week about AI, Journalism, Politics, & Disinformation

Mon, April 8 - Not the odds, but the stakes – Covering the 2024 Elections

What: How journalists can address unprecedented challenges to their craft during one of the most consequential elections in its history.

Who: Media critic and author Margaret Sullivan, formerly executive editor of The Buffalo News, and Barton Gellman, a three-time Pulitzer-prize winner, author and journalist who is now a senior advisor to the Brennan Center for Justice.

When: 3 pm, Eastern 

Where: Zoom

Cost: Free

Sponsor: Society of Professional Journalists, DC Chapter 

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Tue, April 9 - Investigating Elections: Threat from AI Audio Deepfakes 

What: Three experts will share tips, tools, and resources to identify, investigate, and verify potential deepfakes.

Who: Silas Jonathan, a Digital Investigation Manager at the Centre for Journalism Innovation and Development; Shayan Sardarizadeh, a journalist with BBC Verify, where he covers fake news, disinformation and manipulation on digital platforms; Olga Yurkova, a journalist and cofounder of StopFake.org, an independent Ukrainian organization that trains an international cohort of fact-checkers in an effort to curb propaganda and misinformation in the media; The moderator is Rowan Philp, GIJN’s senior reporter.

When: 9 am, Eastern 

Where: Zoom

Cost: Free

Sponsor: Global Investigative Journalism Network

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Tue, April 9 - AI Innovator Collaborative

What: We’ll get into both internal policies that shape your use of AI and public-facing disclosures and explanations for audiences.  

Who: Lynn Walsh and Joy Mayer of Trusting News.

When: 3 pm, Eastern 

Where: Zoom

Cost: Free

Sponsor: Online News Association 

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Wed, April 10 - Framing the disinformation crisis for journalists

What: Learn strategies for coverage that informs and empowers your community and discuss the ways disinformation has affected the practice of journalism.

Who: Tiffany Hsu, reporter on the technology team covering misinformation and disinformation, New York Times; Shannon Jankowski, program director, journalism and disinformation for PEN America; Jay Van Bavel, director of the Social Identity & Morality Lab and associate professor of psychology and neural science, New York University; Moderator: Beth Francesco, executive director of the National Press Club Journalism Institute.

When: 11:30 am, Eastern

Where: Zoom

Cost: Free

Sponsors: The National Press Club Journalism Institute, the American Psychological Association, and PEN America

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Thu, April 11 - AI in Newsrooms: How It Can Help and How It Will Hurt Journalism

What: The good, the bad and the ugly of Artificial Intelligence.

Who: PCLI treasurer Jeff Bessen; Jay Aldred, co-founder of Lede AI; Nikita Roy, Knight Fellow at the International Center for Journalists; Zachary Richner, managing partner and founder of Arrandale Ventures. 

When: 7 pm, Eastern 

Where: Zoom

Cost: Free

Sponsor: Press Club of Long Island

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Thu, April 11 - Environmental journalism: The good, the bad, the future – and why you are essential Webinar Series

What: In this webinar, top Environmental Health Sciences staff will trace the arc of environmental journalism: Trends, coverage gaps, and the future. We will look under the hood at social media approaches and how journalists are working to reach audiences that neither trust nor consume traditional media. We'll talk about how to pitch stories and make science approachable.   

Who: Environmental Health Sciences Executive Director Douglas Fischer.

When: 3 pm, Eastern 

Where: Zoom

Cost: Free

Sponsor: National Collaborating Centre for Environmental Health

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Thu, April 11 - Navigating The AI Landscape in Journalism: Opportunities, Applications, and Ethical Considerations

What: The session will not only highlight inspiring applications of AI in journalism but also navigate the crucial discussions around responsible AI use, addressing the ethical dimensions and the imperative of maintaining journalistic integrity. Additionally, we will tackle the pressing challenge of AI’s impact on newspaper websites, exploring both the opportunities and threats it presents, ensuring that attendees leave with a well-rounded understanding of AI’s role in shaping the future of news.

Who: Dwayne Desaulniers stands at the forefront of merging journalism with cutting-edge AI, boasting a rich career that reshaped newsrooms from The Associated Press to WebMD. As a co-founder of NewsStand.ai, he champions AI’s role in sustaining local journalism, ensuring newsrooms stay ahead in the digital era.  

When: 1 pm, Central 

Where: Zoom

Cost: $35 

Sponsor: Online Media Campus 

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Thu, April 11 - 5 Emerging Technologies You Need to Know

What: Learn how these 5 technologies will not only shape your career in the future, but also the priorities of upcoming administrations. The possible pain points in implementation, agency success stories, and where they’ve used these technologies for good.

Who: Adam Leonard, Chief Analytics Officer & Director, Information Innovation & Insight, Texas Workforce Commission; Michael Lawrence Evans, Director of Emerging Technologies, Mayor’s Office, City of Boston; Jacqueline Ponti-Lazaruk, Chief Innovation Officer, USDA; William Cahoe, Director of Communications and Outreach for 10x, GSA; Francisco Ramirez, Chief Architect, State and Local Government, Red Hat

When: 2 pm, Eastern 

Where: Zoom

Cost: Free

Sponsor: GovLoop

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The Impact of AI on Creativity in 19 Articles

How Hollywood’s Most-Feared AI Video Tool Works — and What Filmmakers May Worry About – Hollywood Reporter

Tennessee Signs ELVIS Act, the Nation’s First Law to Protect Musicians Against AI - Consequence of Sound

ChatGPT Maker OpenAI Courts Hollywood in Meetings With Movie Studios, Directors - Bloomberg  

How AI Could Disrupt Hollywood - Vanity Fair 

For Voice Actors, the Race Against AI Has Already Begun - The Wrap

Using AI for Accessibility - Moritz Giessmann

AI Art is the New Stock Image - iA 

The best AI image generators to create AI art – Fast Company

ChatGPT will kill off the Romantic genius - Unherd 

Inside the Music Industry’s High-Stakes A.I. Experiments - New Yorker  

The AI Dilemma In Graphic Design: Steering Towards Excellence In Typography And Beyond - Smashing Magazine

Pika adds generative AI sound effects to its video maker - VentureBeat

How the Ad Industry Is Making AI Images Look Less Like AI – Wall Street Journal 

Top musicians among hundreds warning against replacing human artists with AI - Axios 

A UX framework to design generative AI experiences  - UX Design

Is AI More Creative Than Humans? – Psychology Today

How I learned how to stop worrying about AI killing our creativity – Creative Boom 

The creative chasm between human and AI AI can make work more efficient, but can it pull at your emotions? – Fast Company

Survey: How Is Generative AI Impacting Creativity In PR? – Provoke Media

AI definitions: Opaque AI

Opaque AI - When an AI algorithm operates as a black box that we can’t understand. This can lead to AI systems that inadvertently perpetuate and amplify biases. On the other hand, AI transparency allows for the examination and understanding of how these biases occur, leading to more ethical and fair AI systems. The level of AI opacity varies depending on the industry. For example, in highly regulated industries, transparency is paramount for legal and regulatory compliance.

More AI definitions here.

Technical Debt & Ethical Debt

Technical Debt - A software development term referring to the cost of choosing fast solutions now and putting off fixing issues until a future time. The benefit of a rush to market is matched with a hope that bugs will be found later, and repairs made. It can result from limited testing during the development process.

Ethical Debt - The result of not considering societal harms and unintended consequences. This can happen in the fast-moving production of AI tools. The people who incur it are rarely the people who ultimately pay for it.

More AI definitions here.

18 Articles about How AI is Affecting Jobs

Want to Know if AI Will Take Your Job? I Tried Using It to Replace Myself - WSJ

AI-powered robotics will fuel jobs disruptions in ways we don’t realize - Semafor

The human side of generative AI: Creating a path to productivity - McKinsey

An Analysis of 5 Million Job Postings Showed These Are the 3 Jobs Being Replaced by AI the Fastest – Inc.

Gen AI is here to stay — here are 5 skills to help you stay relevant in the changing job market – CNBC

Swedish fintech Klarna says its AI assistant does the work of 700 people—after it laid off 700 people – Fast Company

Oops! Replacing Workers With AI Is Actually More Expensive, MIT Finds – Futurism

AI Is Starting to Threaten White-Collar Jobs - Wall Street Journal

The AI machines are not coming for your job – MarketWatch

 AI Talent Is in Demand as Other Tech Job Listings Decline - Wall Street Journal 

AI's job threat extends to CEOs who move too slowly in adapting to it – Axios 

AI hiring tools may be filtering out the best job applicants - BBC

10% of US workers are in jobs most exposed to artificial intelligence, White House says - CNN

Will A.I. Take All Our Jobs? This Economist Suggests Maybe Not. – New York Times

AI could help ending the dominance of the credentialed classes – Washington Post

9 AI jobs you can get without being an expert coder – Business Insider

Amid Fears of AI Job Losses, This MIT Professor Thinks It Can Fix the Labor Market – Inc. 

AI Can't Do All Our Jobs for Us. But We Can Make It a 'Superhero Sidekick' - CNBC

23 Amazing Things AI Can Do Now

Artificial intelligence might revolutionise coaching based on football research – Cosmos

OpenAI reveals artificial intelligence tool to re-create human voices - Axios 

NASA is releasing its first open-source geospatial artificial intelligence foundation model for Earth observation data - EarthData 

Advances in AI and satellite imagery allowed researchers to create the clearest picture yet of human activity at sea – The Verge 

AI Is Telling Bedtime Stories to Your Kids Now - Wired

Why AI will help IT workers get more sleep - Semafor

New study finds ChatGPT gives better advice than professional columnists – PsyPost

LinkedIn Tests New AI-Based Learning Elements In-Stream – Social Media Today

AI platform demonstrates ability to autonomously plan and execute a chemistry experiment after taking input prompts from researchers – Engineering   

Can AI Predict What Shoppers Will Buy? – Business of Fashion

AI is speeding up scientific discoveries and helping to spot new ideas - Axios

Google Chrome will summarize entire articles for you with built-in generative AI - The Verge

AI is helping cut the carbon footprint of online shopping returns - Semafor

Elvis Evolution: Presley to be brought to life using AI for new immersive show - BBC

How an AI robot smashed human world record in Labyrinth, a classic marble maze game – Fox News  

George Carlin has a new AI-generated comedy special – USA Today 

This AI game controller can predict which button you'll press next - BGR

This AI learnt language by seeing the world through a baby’s eyes – Nature   

AI program “can train neural networks using just a handful of satellite and drone images - Phys.org 

How AI Can Find the Perfect Movies, TV Shows and Books for You – Wall Street Journal  

Ex Zillow exec launches AI-powered home search platform - Axios

A Celebrity Dies, and New Biographies Pop Up Overnight. The Author? A.I. – New York Times

The AI art generator Midjourney is the favored tool in architecture - Bloomberg