Rich and Poor Cheat for Different Reasons

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In certain circumstances, it's the poor who are more likely to cheat. The difference is that the rich do wrong to help themselves, while the poor do wrong to help others. In several experiments reported in an upcoming issue of the Journal of Personality and Social Psychology… the studies suggest a straightforward sequence: Money leads to the perception that one is higher in the social hierarchy, which in turn leads to a sense of power, which in turn leads to a greater willingness to cheat for selfish reasons.

People with less money (and therefore less power), however, are more communal. They need to rely on each other to get by, and as a result, research shows, they’re more compassionate and empathically accurate. Breaking rules is always risky, but social cohesion is paramount — so you do what it takes to help those around you.

The researchers think their findings could lead to some easy practical applications. If you’re speaking to higher-class individuals, you might want to appeal to their selfishness and warn that cheating will ultimately backfire. But when talking to those with fewer resources, you might be better off noting that their actions could harm those around them.

Matthew Hutson, New York Magazine

10 Articles about AI use in Academic Papers

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Driven to Obligation

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When we are locked into imperative thinking, we hold our absolute conviction so tightly that we have little or no recognition of our choice to say no! Obligation becomes our driving force. Relationships with other people and our responsibilities to them then become matters of dread, resentment, guilt.

Our need for a structured, orderly life can be so powerful that we refuse to make allowances for choices. To us, circumstances are either black or white. Once we settle upon a conviction or preference, we feel rigidly obligated to abide by it, with little variation.

Imperative people are almost afraid to allow for the luxury of choices. We feel the need to minimize our risks by sticking to the rules that we have made for ourselves.

Les Carter, Imperative People: Those Who Must Be in Control

12 Free Webinars This Week: journalism, reporting, trauma, storytelling, the First Amendment, photography & More

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Mon, Sept 11 – Media Law Office Hours

What: The open group session allows journalists with legal questions to help find answers on issues related to the First Amendment, Freedom of Information, copyright, defamation, or other media law matters.

Who: Attorney Matthew Leish

When: 5 pm, Eastern

Where: Zoom

Cost: Free for members

Sponsor: New York Deadline Club

More Info

 

Tue, Sept 12 - Reporting on the Future of COVID-19 Vaccine Coverage and Reimbursement

What: Between back-to-school appointments and the impending cold and flu season, now is the time to get up to speed on COVID-19 vaccine coverage. This webinar will help journalists answer key questions and clear up confusion for the public about COVID-19 vaccine costs, availability, efficacy and timing.

Who: Dr. Mario Ramirez, emergency physician and Acting Director, HHS Office of Global Affairs Office of Pandemic and Emerging Threats; Patricia M. D'Antonio, BSPharm, MS, MBA, BCGP, Vice President of Policy and Professional Affairs for The Gerontological Society of America; Alexander Tin of CBS News. Other speakers will be listed here as they are confirmed.

When: 10 am, Central

Where: Zoom

Cost: Free

Sponsor: The COVID-19 Vaccine Education and Equity Project, National Press Foundation

More Info

 

Tue, Sept 12 - “What’s the Story" – Photography Storytelling Tips 

What: Learn the art of storytelling and how you can use it as a way develop personal style, attract customers, and much, much more.

Who: Jamie House, lifelong photographer and representative of the Lumix brand  

When: 12 noon, Central

Where: Zoom

Cost: Free

Sponsor: Lumix

More Info

 

Tue, Sept 12 - Lessons from Pro-Democracy Newsrooms

What: Training on best practices for incorporating solutions reporting into elections and democracy coverage.

Who: Ashley Hopkinson and Jaisal Noor from the Solutions Journalism Network

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Solutions Journalism Network

More Info

 

Wed, Sept 13 - How to Work with (Almost) Anyone

What: In this practical session, you'll learn how to reverse that trend and build the best possible working relationship with anyone. Well, almost anyone. You will learn the three attributes of a resilient and long-lasting relationship, understand how you can aspire to “the best possible relationship” with every one of your key working relationships, investigate the one awkward but essential conversation that will set up success, and take a deep dive into one of the essential questions, and prepare your best answers to them

Who: Michael Bungay Stanier Author, Founder, MBS.works and author of “The Coaching Habit.”

When: 3 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Training Magizine Network

More Info

 

Wed, Sept 13 - Psychological Training: Stress, Burnout and Trauma

What: This training session online will discuss coping with stress, burnout and trauma on the job. The session will cover the basics of self-care and collegial support, including the impact of covering trauma and tragedy on journalists, and offer concrete guidance and techniques for enriching one’s coping skills and wellness, and building resilient news teams. The training will include a slide presentation and briefing, as well as a Q&A. The training is limited to 50 participants.

Who: Elana Newman, Ph.D., the McFarlin Professor of Psychology at the University of Tulsa, and has conducted research on a wide range of topics regarding the psychological and physical response to traumatic life events, assessment of PTSD in children and adults, journalism and trauma, and understanding the impact of participating in trauma-related research from the trauma survivor’s perspective.

When: 10 am, Eastern

Where: Zoom

Cost: Free

Sponsor: Dart Center for Journalism & Trauma

More Info

 

Wed, Sept 13 - Pen America at the National Constitution Center’s National First Amendment Summit

What: This summit will address the increasing threats to freedom of expression and the challenges ahead posed by new technologies.

Who: Author Salman Rushdie will engage in a virtual keynote conversation about the importance of free speech in a democratic society and the forces of censorship that imperil its existence.

When: 5:30 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: PEN America

More Info

 

Thu, Sept 14 - Reporting in a Polarized Society

What: How can journalists detect signs of polarization in the communities they cover and in the newsrooms where they work? Dividing forces are nothing new in American society, although recent years have seen an intensifying inflammatory narrative. Assumptions about both working-class populations and communities of color can be damaging.

Who: Phillip Martin, Senior Investigative Reporter, GBH News Center for Investigative Reporting

When: 12 noon

Where: Zoom

Cost: Free

Sponsor: The New England Equity Reporting Community of Practice

More Info

 

Thu, Sept 14 - How Transparency Can Elevate Readers’ Trust

What: Learn how you can be the trusted source that readers turn to when they’re looking for news.

Who: Mark Stencel, executive director for JournalList, Ralph Brown, journalist

When: 11 am, Eastern

Where: Zoom

Cost: Free

Sponsor: Virginia Press Association

More Info

 

Thu, Sept 14 - The Power of Storytelling in Digital Marketing

What: Discover the transformative power of storytelling and its potential to drive your business forward. Learn how storytelling can shape your brand, engage your audience, and inspire your team. Unlock the secrets of the world's most influential brands and carve your unique narrative.

When: 12 noon, Pacific  

Where: Zoom

Cost: Free

Sponsor: East LA BusinessSource Center

More Info

 

Thu, Sept 14 - Developing Data Stories: Using Global Forest Watch for Journalism

What: Are you new to environmental journalism or looking to expand your data toolbox? Learn how maps and data can take your reporting to the next level and bring stories to life during an upcoming webinar about forest data and equips journalists with tools to research and communicate the state of forest change around the world.  

When: 9 am, Eastern

Where: Zoom

Cost: Free

Sponsor: Global Forest Watch

More Info

 

Fri, Sept 15 - Public records you can find online

What: Need to verify the rank of a dead veteran? Wondering about access to New York criminal records? Trying to find the maiden name of a twice-married woman? For journalists, knowing where to look – without waiting on a public information request response – is key. Participants will gain: A working knowledge of public records that exist online and where to find them, strategies for efficient independent public record searches and guidance on practical searches for more common fact-checks

Who: Award-winning investigator Caryn Baird will present a practical working model of public records research based on her years of experience at the Tampa Bay Times.

When: 11:30 am, Eastern

Where: Zoom

Cost: Free

Sponsor: National Press Club

More Info

Cunningham’s Law

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Cunningham’s Law is the observation that the best way to get a good or right answer is not to ask a question; it’s to post a wrong answer. So, if you want to know the leading causes of World War I, go to a history forum and post, “World War One was entirely caused by the British.” Sit back, grab some popcorn, and wait for the angry — yet probably informed — corrections to come flying in. 

Socrates, did a lot of it. Socrates would sit on some public bench and talk to whoever happened to sit next to him. He’d often open his dialogues by presenting a false or deeply flawed argument and go from there. He would ironically agree with whatever his partner would say, but then raise a seemingly innocuous question to challenge that position.

“Socratic irony” is where you pretend to be ignorant of something so you can get greater clarity about it. In short, it’s a lot like Cunningham’s Law.

Here are two ways you can use Cunningham’s Law:

The Bad Option: Have you ever been in a group where no one can decide what decision to make, and so you hover about in an awkward, polite limbo? “What restaurant shall we go to?” gets met with total silence. Instead try saying, “Let’s go to McDonald’s” and see how others object and go on to offer other ideas. 

The Coin Toss: If you’re unsure about any life decision — like “should I read this book or that book next?” or “Should I leave my job or not?” — do a coin toss. Heads you do X, tails you do Y. You are not actually going to live by the coin’s decision, but you need to make a note of your reaction to whatever outcome came of it. Were you upset at what it landed on? Are you secretly relieved? It’s a good way to elicit your true thoughts on a topic.

Jonny Thomson writing in BigThink

13 Articles about AI & the Bigger Questions

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How To Make Someone Truly Feel Heard

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Be intentional about learning what the other person wants to communicate and respond to their feelings.

Listen to what they’re telling you and suppress the urge to fix the issue, problem solve, or change the way they are feeling about the situation.

Put your own feelings aside to create a space where another person can speak his or her mind—which requires staying calm.  

Suspending judgment and simply taking in what is being said can go a long way towards helping someone feel heard or diffusing an argument.

Show that you are actively listening and are truly understanding what the other person is saying by mirroring back what someone has said. Include phrases like ‘it sounds like’ or ‘it seems like.’

Take the time for silence in a discussion, showing that you’re processing what is being talked about and giving it the space that it needs to sink in properly. 

Edited from Jeremy Brown writing in Fatherly

17 Articles about the Business of Running an AI

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9 Free Webinars this week about journalism, AI, media law, social media, & more

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Tue, Sept 5 -Covering Threats to Democracy with a Pro-Democracy and Solutions Lens  

What: How journalists can cover voter suppression and efforts to undermine democracy through a pro-democracy and solutions lens.

Who: Natalia Contreras, elections reporter for Votebeat and The Texas Tribune; Ari Berman, author and reporter for Mother Jones; Osita Nwanevu, contributing editor at The New Republic and a columnist at The Guardian.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsors: US Democracy Day, The National Press Foundation, The American Prospect, The Objective, and the Kiplinger Program in Public Affairs Journalism.

More Info

 

Wed, Sept 6 - Experimenting with AI in the Classroom

What: We explore the potential risks and rewards associated with using AI-assisted technology to help with teaching and learning in the classroom. Can AI actually increase the opportunities for creativity and imagination in our classrooms, for both teachers and learners?

Who: Dora Demszky, Assistant Professor in Education Data Science, Stanford Graduate School of Education; Houman Harouni, Lecturer on Education, Harvard Graduate School of Education;  Lakshya Jain, a Senior at King Philip Regional High School in Wrentham, MA

When: 2 pm, Central

Where: Zoom

Cost: Free

Sponsor: Harvard Graduate School of Education

More Info

 

Wed, Sept 6 - Back to College with the SPLC legal team!

What: A Q&A-style meet and greet to walk you through the key legal issues and helpful resources you should know to start your year off right.

Who: The SPLC legal team

When: 7 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Student Press Law Center

More Info

 

Wed, Sept 6 - Get Social: How to Reach & Engage Donors on Social Media

What: Discover best practices, tips & tricks for utilizing social media as a powerful fundraising tool! In this workshop, we'll show you how to optimize a nonprofit's online presence & share easy-to-implement strategies for attracting & converting donors on social media, both through organic posting & paid advertising.  

Who: Christine Vottima and Lexie Robles of Strat Labs

When: 11 am, Eastern

Where: Zoom

Cost: Free

Sponsor: The Nonprofit Learning Lab

More Info

 

Wed, Sept 6 - How Accessible Design Techniques Engage Your Entire Audience

What: This session looks at core accessibility requirements and how you can incorporate them into your presentations and other PowerPoint-based content. You’ll see what the various requirements are, and how applying them not only helps those with accessibility needs, but everyone else in your audience. 

Who: Picture1 Stefan Brown Design Consultant, BrightCarbon; Richard Goring Director, BrightCarbon

When: 3 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Training Magazine Network

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Thu, Sept 7 - Libraries in the Age of AI: a primer

What: Our speaker will cover the basics of AI, before turning to specific (and popular) services, exploring their possibilities and pitfalls when used in a library setting.

Who: Nick Tanzi is the Assistant Director of the South Huntington Public Library.

When: 1 pm, Mountain Time

Where: Zoom

Cost: Free

Sponsor: Libraries Learn

More Info

 

Thu, Sept 7 -  Author and Journalist Jane Ferguson in Conversation with Deborah Amos

What: Jane Ferguson's recently released memoir, No Ordinary Assignment which takes readers on a journey through her childhood in Northern Ireland to her early days as a freelance correspondent for CNN International in the Middle East and Africa, often working alone to film and report her stories.

Who: Jane Ferguson, a PBS NewsHour correspondent, contributor to The New Yorker, and a multiple Pulitzer Center grantee; Deborah Amos who has spent most of her career at National Public Radio.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Pulitzer Center

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Thu, Sept 7 - Writing about and with youth organizers ahead of the 2024 elections

What: This conversation will explain how newsrooms can build relationships with youth organizers as both vital sources and reporters ahead of the 2024 election cycle, unpacking how to cover youth politics and movements without patronizing and isolating those groups.

Who: Beatrice Forman is a reporter at The Philadelphia Inquirer; Dillon Bernard, Director of Communications of Future Coalition; Allegra Kirkland is the Politics Director at Teen Vogue; Lexi McMenamin is the news and politics editor at Teen Vogue; Mira Sydow is a senior at the University of Pennsylvania where she runs the Disorientation Guide

When: 2 pm, Central

Where: Zoom

Cost: Free

Sponsor: Center for Cooperative Media

More Info

 

Fri, Sept 8 - Leverage library resources for your research and reporting

What: Learn how journalists can tap public and academic libraries to find and use government documents, academic research, archives and other resources that are free via libraries, but not easily accessible on the open web. Whether it’s uncovering a new information source or helping to fact-check your work, librarians and libraries are a goldmine for accessing information – and much faster than you may think.

Who: April Hines, journalism and mass communications librarian for the George A. Smathers Libraries at the University of Florida.

When: 11:30 am

Where: Zoom

Cost: Free

Sponsor: The National Press Club

More Info

Using Projects to Avoid Making Changes

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If you are having trouble getting motivated to finish a project, consider the possibility that finishing that report (or whatever your project involves) means facing a void. The project is a distraction so that you don't have to see the emptiness outside of it. You slow down the completion until another project emerges to play the role of another distraction. You’re putting off looking at uncomfortable truths about yourself 

While in the midst of a deadline-driven project, you feel like you have a clear identity because your purpose is defined by the project's needs. But if the projects was removed from your life, would you have justification for thinking of yourself as someone of value? Is your worth  bound in the projects?

So it is with serious relationships, where someone provides a sense of purpose, giving definition and a sense of worth.

If you were forced to sit down and write out the definition of who you are without the benefit of a title (manager, employee, project manager) or relationship (wife, girlfriend, mother) would you lack the means to define yourself?

A suggestion: Spend time doing things that allow you to center yourself. Give yourself downtime to listen. Whatever brings you to stillness will put you in a good position to allow the transition to take hold and internalize it so you don’t miss the opportunity to make a paradigm shift toward greater emotional and spiritual health. Allow yourself to just "be" and reconnect with the world around you (its sounds, smells, tastes, touches, and sights).

Stephen Goforth

 

Distraction

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You cannot fully unleash your genius in the three-minute increments you have between distractions. Unfortunately, for many of us distraction has become a habit — one that has been so often and routinely reinforced that it is extremely difficult to break. Persuasive technology — technology that uses sophisticated techniques from behavioral psychology to “persuade” us to keep engaging with it — exacerbates the problem. So, over time, as our habit gains strength, we go looking for distraction. When things get quiet, or a task gets boring or frustrating, we reach for our phones. 

Maura Thomas writing in the Harvard Business Review

24 August articles about Data Science, AI, & Space

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US spy satellite agency isn’t so silent about a coming launch that will allow it to access potential threats by continually track other objects in geosynchronous orbit 

The top geospatial intelligence brands in the world

China’s Constant Spying On Australian Drills From Space A Sign Of Shifting Orbital Balance

What is a liquid neural network, really?

7 ChatGPT Prompts To be a Better Data Scientist

What are LLMs bad at? Reference lists

“Space science is such a rarefied field that the developers don’t have the security skills to do a rigorous shakedown of a satellite”

GenAI Is Making Data Science More Accessible

5 Things You Need to Know When Building LLM Applications

What a hijacked satellite could do

Finding: “The larger the satellite the more vulnerable it was” to hacking

A study into the feasibility of hacking low-Earth orbit satellites has revealed that it's worryingly easy to do

Four types of learning in machine learning explained

Five essential Python packages for effectively handling and visualizing valuable insights from geospatial data

Stability AI known for its text-to-image generation model called Stable Diffusion has now released a

code generator called StableCode

Researchers say they have developed an optical neural network that can “significantly reduce the size and processing time of image sensors”

The importance of data cleaning in data science —what it is, the benefits of using it, & the commonly used tools

IBM and NASA open source an AI model for geospatial data analysis

AI startup Sweetspot is a search engine using LLMs to look for specific U.S. government contracts

How can Data Scientists use ChatGPT for developing Machine Learning Models?

“Five mistakes I made while switching to data science career”

“Liquid neural networks, a novel type of deep learning architecture offer a compact, adaptable and efficient solution to certain AI problems”   

Physicists have found that deep-learning AI technology can accurately quantify the amount of entanglement in a given system 

Scientists have trained a machine learning model in outer space

The Most Important Basic Generative AI Terms to Know  

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Algorithms –  Direct, specific instructions for computers created by a human through coding that tells the computer how to perform a task.

The code follows the algorithmic logic of “if”, “then”, and “else.”  An example of an algorithm would be:         

  • IF the customer orders size 13 shoes,         

  • THEN display the message ‘Sold out, Sasquatch!’;         

  • ELSE ask for a color preference.     

Besides rule-based algorithms, there are machine-learning algorithms used to create AI. In this case, the data and goal is given to the algorithm, which works out for itself how to reach the goal.

There is a popular perception that algorithms provide a more objective, more complete view of reality, but they often will simply reinforce existing inequities, reflecting the bias of creators and the materials used to train them.

Artificial Intelligence (AI) – Basically, AI means “making machines intelligent”, so they can make some decisions on their own without the need for any human interference.

The phrase was coined in a research proposal written in 1956. 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.

Big Data – This is data that’s too big to fit on a single server.

Typically, it is unstructured and fast-moving. In contrast, small data fits on a single server, is already in structured form (rows and columns), and changes relatively infrequently. If you are working in Excel, you are doing small data. Two NASA researchers (Michael Cox and David Ellsworth) first wrote in a 1997 paper that when there’s too much information to fit into memory or local hard disks, “We call this the problem of big data.”

Generative AI – Artificial intelligence that can produce content (text, images, audio, video, etc.) such as ChatGPT.  

It operates similarly to the “type ahead” feature on smartphones that makes next-word suggestions. Gen AI is based on the particular content it was trained on (exposed to).

GPT – The “GPT” in ChatGPT stands for Generative Pre-Trained Transformer. 

Hallucinations – when an LLM provides responses that are inaccurate responses or not based on facts. 

Hallucination – the AI saying things that sound plausible and authoritative but simply aren’t so.

Large Language Models (LLMs) – AI trained on billions of language uses, images and other data. It can predict the next word or pixel in a pattern based on the user’s request. ChatGPT and Google Bard are LLMs.

The kinds of text LLMs can parse out:

  • Grammar and language structure.

  • How a word is used in language (noun, verb, etc.).

  • Word meaning and context (ex: The word green may mean a color when it is closely related to a word like “paint,” “art,” or “grass.”

  • Proper names (Microsoft, Bill Clinton, Shakira, Cincinnati).

  • Emotions (indications of frustration, infatuation, positive or negative feelings, or types of humor).

Machine learning (ML) – AI that spots patterns and improves on its own. 

An example would be algorithms recommending ads for users, which become more tailored the longer it observes the users‘ habits (someone’s clicks, likes, time spent, etc.). 

Data scientists use ML to make predictions by combining ML with other disciplines (like big data analytics and cloud computing) to solve real-world problems. However, while this process can uncover correlations between data, it doesn’t reveal causation. It is also important to note that the results provide probabilities, not absolutes.

Neural Network – In this type of machine learning computers learn a task by analyzing training examples. It is modeled loosely on the human brain—the interwoven tangle of neurons that process data in humans and find complex associations.

Neural networks were first proposed in 1944 by two University of Chicago researchers (Warren McCullough and Walter Pitts) who moved to MIT in 1952 as founding members of what’s sometimes referred to as the first cognitive science department. Neural nets were a major area of research in both neuroscience and computer science until 1969. The technique then enjoyed a resurgence in the 1980s, fell into disfavor in the first decade of the new century, and has returned like gangbusters in the second, fueled largely by the increased processing power of graphics chips. 

Open Source AI – When the source code of an AI is available to the public, it can be used, modified, and improved by anyone. Closed AI means access to the code is tightly controlled by the company that produced it.

The closed model gives users greater certainty as to what they are getting, but open source allows for more innovation. Open-source AI would include Stable Diffusion, Hugging Face, and Llama (created by Meta). Closed Source AI would include ChatGPT and Google’s Bard.

Prompts – Instructions for an AI. It is the main way to steer the AI in a particular direction, indicate intent, and offer context. It can be time-consuming if the task is complex.  

Prompt Engineer – An advanced user of AI models, a prompt engineer doesn’t possess special technical skills but is able to give clear instructions so the AI returns results that most closely match expectations.

This skill can be compared to a psychologist who is working with a client who needs help expressing what they know. 

Red Teaming  –  Testing an AI by trying to force it to act in unintended or undesirable ways, thus uncovering potential harms.

The term comes from a military practice of taking on the role of an attacker to devise strategies.  

While some of these definitions are a bit of an oversimplification, they will point the beginner in the right direction. -Stephen Goforth

Should Students Choose Higher-Paying Majors?

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Pushing students from science into the humanities tended to decrease their later-life wages — that’s finding is not surprising. But the converse also appeared to be true: Pushing students from the humanities into science also tended to, if anything, decrease their wages. While there are certain very high-paying majors (like engineering, economics, and computer science) that increase students’ earning potential even if they would prefer to study something else, helping students to study their most-preferred major generally seems to provide long-run financial benefits even in the humanities.

Students should know that when it comes to choosing a college degree, small differences in average-wage-by-major statistics shouldn’t be taken too seriously. Especially when the average wage differences between majors are not very big, students should put their own strengths first and not let the statistics cloud their understanding of their own interests.

Zachary Bleemer writing in the The Chronicle of Higher Ed

11 Quotes Worth Reading about AI in the Newsroom from Recent Articles

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The Associated Press today released guidance on how it uses generative artificial intelligence tools like ChatGPT and will update its AP Stylebook to reflect a new era for newsrooms. While AP staff may experiment with ChatGPT with caution, they do not use it to create publishable content,” according to the standards. “Any output from a generative AI tool should be treated as unvetted source material.” Poynter  

How Will Artificial Intelligence Change the News Business? Here are three theories of the case. NY  Mag

A multitude of leading newsrooms have recently injected code into their websites that blocks OpenAI’s web crawler, GPTBot, from scanning their platforms for content. The deep archives and intellectual property rights of these news organizations are immensely valuable — arguably crucial — to training A.I. models such as ChatGPT in efforts to provide users with accurate information. Meanwhile, the Associated Press went a different route, hammering out its own licensing deal with the A.I. developer, though it notably did not share key terms of the agreement. CNN

Wired magazine has a page dedicated to explaining how its journalists use AI tools (to suggest headlines or potential cuts to shorten a story, the policy states) and how they don’t (no AI-generated images instead of stock photos, according to the policy). Wired makes it clear to readers that these policies may change as the technology does. Poynter 

Ultimately, AI is a prism. Information goes into it and the bot can refract a spectrum of stories and simulated perspectives, but it may also distort those views, missing the nuances and human elements that give local news its heart and soul. Understanding and staying abreast of these technological developments is crucial, but so is maintaining a healthy skepticism. Joe Amditis on Medium

Lede AI (was developed) to help newsrooms cover sports games they would have otherwise missed. Lede AI draws from a national database of sports results submitted by fans to generate short articles that are automatically published after a game ends. the AI-written summaries sometimes missed “factual nuances” in stories, and the AI-generated text could be “corny” and repetitive. Poynter 

OpenAI, the parent company to ChatGPT, will fund a new journalism ethics initiative at New York University's Arthur L. Carter Journalism Institute with a $395,000 grant. Axios

Several news organizations, writers and photographers groups are pushing to be involved in creating standards for the use of artificial intelligence, particularly as it concerns intellectual property rights and the potential spread of misinformation. Associated Press

The 'Irish Times' mistakenly publishes fake article written by AI. The person behind the deception, whose identity remains unknown, had used an artificial intelligence (AI) program to create the text and images of the writer.  Le Monde

A new, completely AI-driven website called the LocalLens wants to be a kind of metal detector for local news — claiming to surface stories that might otherwise remain buried. Joe Amditis writing on Medium

The New York Times has decided not to join a group of media companies attempting to jointly negotiate with the major tech companies over use of their content to power artificial intelligence. Semafor