9 Webinars this week about AI, Journalism & Media

Mon, Jan 27 - How to Acquire Free Satellite Imagery for Your Investigations

What: This GIJN webinar brings together leading experts to share practical advice and tips on navigating this often-overwhelming field. Attendees will learn the best platforms and techniques for obtaining free imagery, strategies for analyzing and processing the data, and ethical considerations when using it in investigative stories. Whether you’re looking to track deforestation, document urban expansion, or investigate geopolitical conflicts, this webinar will equip you with the skills to get started.

Who: Carl Churchill is a journalist at The Wall Street Journal; Yao Hua Law is an award-winning journalist from Malaysia; Laura Kurtzberg is a data visualization specialist, cartographer, and news applications developer with a particular interest in environmental stories; Manuela Andreoni, Chief Correspondent at Reuters based in Brazil.

When: 9 am

Where: Zoom

Cost: Free

Sponsor: Global Investigative Journalism Network

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Tue, Jan 28 - Disinformation takeaways from the 2024 elections and starting points for future investigative reporting

What: This session with Factchequeado, a fact-checking organization filling the gap of reliable information in Spanish in the U.S., will highlight the team’s takeaways from investigating disinformation impacting Latino communities during the 2024 elections. The team will share starting points for your investigations and tools to help with your reporting. They’ll also provide examples of Factchequeado investigative reporting to help inspire you.

Who: Laura Zommer, Factchequeado CEO and Co-founder; Rafael Olavarría, Factchequeado Politics and Immigration Fact-checker.

When: 1 pm, Eastern

Where: Zoom

Cost: Free to members

Sponsor: Investigative Reporters & Editors

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Tue, Jan 28 - Empowering the marketers, entrepreneurs, and creators in your classroom

What: We'll explore strategies for nurturing the next generation of business leaders, creative thinkers, and storytellers. Discover techniques and resources to support students in developing job-ready skills to launch their careers, as well as the marketing acumen and entrepreneurial spirit to find long-term success in a dynamic workforce landscape.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Pearson, Adobe, Meta

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Tue, Jan 28 - Journalists are First Responders: Mental Health in Times of Crisis

What: Ways to stay attentive to your mental health during your day-to-day work cycle and especially during a crisis.  

Who: Gretchen Schmelzer, ICF certified senior coach, licensed psychologist, co-founder of the Center for Trauma and Leadership, and the author of Journey Through Trauma.

When: 3 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Radio Television Digital News Association

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Wed, Jan 29 - 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, a free service for journalists and scientists based at the American Association for the Advancement of Science (AAAS), the world’s largest multidisciplinary scientific society.

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Wed, Jan 29 - The First Amendment in the 21st Century

What: This class is a First Amendment primer for students new to the topic and a great refresher for those whose work or volunteer service involves the Five Freedoms.

Who: Gregory V. Sullivan, Esq. is the President of Malloy & Sullivan, Lawyers Professional Corporation and teaches First Amendment Media Law at Suffolk University Law School in Boston.

When: 6:30 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Nackey S. Loeb School of Communications

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Thu, Jan 30 – PR Trends 2025: Building Strategies That Drive Results

What: A discussion of key trends that are shaping the future of PR. Gain actionable insights into crafting a high-impact PR strategy for 2025, including leveraging AI with a human touch, bringing authenticity to media relations, and embracing data-driven approaches for effective communication. The discussion will also cover strategies for crisis management to build brand resilience and insights into using social media platforms to engage audiences, manage reputation, and address challenges.

Who: Hajira Amla, Nectar Marketing Communications; Michelle Garrett is a public relations consultant; Bill Byrne, founder of Remedy PR.

When: 11 am, Eastern

Where: Zoom

Cost: Free

Sponsor: Cision

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Thu, Jan 30 - Source tracking fosters responsive engagement and improves your journalism

What: Learn from the American Press Institute’s experience supporting news organizations to track sources in order to build community trust, improve reporting strategies and attract new revenue.

Who: American Press Institute Director of Product Strategy Liz Worthington; Sherkiya Wedgeworth, Managing Editor of Accountability and Outreach for Colorado Public Radio; Leigh Munsil, Editor in Chief at San Antonio Report; and Blanca Méndez, Community Engagement Editor at San Antonio Report.

When: 12:30 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: American Press Institute

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Thu, Jan 30 - Report for America

What: This informative opportunity will cover the top newsrooms’ work culture, newsroom environment, salary, day-to-day routines, and much more. It will also provide a unique opportunity for members to network and ask direct questions to newsroom managers.

Who: Tim Lampley, Recruitment Manager, with Report for America, for a conversation about Report For America’s beat options, corps culture, and the application process.

When: 5:30 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: National Association of Hispanic journalists

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AI Definitions: Deep Neural Network

Deep Neural Network – A computer system with a structure inspired by neurons, or brain cells. It processes information in layers, with the deepest layers doing the most complex work. Scientists can train systems like these to “learn” human tasks, such as interpreting sounds. However, if understanding is inseparable from experience, then our physical embodiment may be difficult if not impossible to capture in symbolic processing systems.

More AI definitions here

Dealing with False Guilt

Here are 4 options when dealing with false guilt.

1. Remove the Source of Guilt (the conscience)
This may only desensitize us to actual wrongs and could lead to a denial of real evil in our lives.

2. Emphasize Self-Potential
This fails to address the underlying problems and ignores any real wrongs.

3. Emphasize Punishment
This can lead to feeling guilt when caught, ignoring legitimate conviction.

4. Emphasize Forgiveness
If the guilt is false, there lacks a basis for forgiveness and the person may feel they haven’t suffered enough.

When AIs are Bribed or Threatened

What’s bizarre about LLMs is that they act more like humans than we think they should. For example, some researchers have tested the hypothesis that LLMs perform better when offered a cash reward or threatened with death. It also turns out that some of the best ways to “jailbreak” LLMs (getting them to disobey their creators’ explicit instructions) look a lot like the kinds of social engineering tricks that humans use on each other: for example, pretending to be someone else or saying that the request is just a joke. But other effective jailbreaking techniques are things no human would ever fall for. One group found that if they used ASCII art (constructions of symbols that look like words or pictures) to pose dangerous questions, like how to build a bomb, the LLM would answer them willingly. - IEEE Spectrum

19 Things People are Trying to Get AI to Do

AI agents’ promise to arrange your finances, do your taxes, book your holidays – and put us all at risk – The Conversation

Coming soon: Ph.D.-level super-agents - Axios

AI could transform health care, but will it live up to the hype? – Science News 

Using AI to talk to animals – Axios  

The Firm That Wants to Power AI With Southern Yellow Pine – Wall Street Journal

Twelve Labs is building AI that can analyze and search through videos – TechCrunch 

Samsung has developed an audio eraser feature for smartphones that will allow users to erase unwanted sounds from videos – Data Country 

Extreme Weather Is Taxing Utilities More Often. Can A.I. Help? – New York Times  

Are AI-created recipes hard to swallow? – BBC

The world-changing ‘killer app’ for AI could be nuclear fusion - Washington Post  

OpenAI starts testing prototype of new AI search tool - Axios

OpenAI working on new reasoning technology under code name ‘Strawberry’ – Reuters

How AI could transform baseball forever – Washington Post

How generative AI could reinvent what it means to play – MIT Tech Review

Communicate with animals, win millions: Inside the wild new world of AI prizes – Semafor

Can AI make better chocolate chip cookie recipes than humans? We taste tested 2 – NPR

Can AI police itself? Experts say chatbots can detect each other’s gaffes. – Washington Post

Digital Twins and AI in Next-Gen Nuclear Reactor Operations  - AI wire

Five Ways AI Will Break Software Development – Inside AI News

24 Articles about the Business of Running an AI Company

Amazon AI deal leaves ‘zombie’ start-up in its wake, whistleblower says – Washington Post

Coming soon: Ph.D.-level super-agents - Axios

Google’s Resolution for 2025: Catch Up to ChatGPT – Wall Street Journal

China's AI keeps getting better — and cheaper – Axios

Joe Biden signs executive order to speed AI data center construction – The Verge

Google is forming a new team to build AI that can simulate the physical world – Tech Crunch

Nvidia sends less powerful AI chips to China – Tom’s Hardware

OpenAI, Google and Runway race to generate AI video – Axios

AI-powered avatars can gesture naturally as they speak – New Scientist

OpenAI says it needs ‘more capital than we’d imagined’ as it lays out for-profit plan - CNBC

Microsoft Is Forcing Its AI Assistant on People—and Making Them Pay - Wall Street Journal

Nonprofit group joins Elon Musk’s effort to block OpenAI’s for-profit transition – Tech Crunch   

Tech dollars flood into AI data centers - Axios

Don’t Look Now, but China’s AI Is Catching Up Fast - Wall Street Journal 

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

Google DeepMind unveils a new video model to rival Sora - TechCrunch  

Your Meta Ray-Ban smart glasses just got a massive AI upgrade – ZDnet  

The year in AI: Catch up on the top AI news of 2024 – Tech Target

Mobile pioneers say they’ll make ‘agentic AI’ a reality with new platform – Semafor  

OpenAI launched a 1-800-ChatGPT hotline, allowing users to interact with its chatbot over the phone - CNN

OpenAI says it has no plans to release an API for Sora - TechCrunch

Databricks co-founder offers $1 million prize to solve AI coding problems – Semafor

Sam Altman on ChatGPT’s First Two Years, Elon Musk and AI Under Trump – Bloomberg  

Google introduces a new quantum computing chip called Willow, designed to be faster and more reliable than previous chips – Tech Crunch

Why We Lie

A life of total dedication to the truth means.. a life of total honesty. It means a continuous and never-ending process of self-monitoring to assure that our communications – not only the words that we say but also the way we say them-invariably reflect as accurately as humanly possible the truth or reality as we know it. Such honesty does not come painlessly. The reason people lie is to avoid the pain of challenge and its consequences.  

M Scott Peck, The Road Less Traveled

14 Webinars This Week about AI, Journalism & Media

Tue, Jan 21 - How to Build a Podcast Media Empire for You and Your Business!

What: In this webinar, you'll learn how to create, grow, and monetize a podcast that boosts your brand, expands your reach, and positions you as an industry leader.  

Who: Jeffrey Hayzlett, Chairman & Founder, C-Suite Network

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Training Magazine Network

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Tue, Jan 21 - Influencers: How Can They Help Advance Media Literacy?

What: Learn about how social media influencers have been recruited to address important issues in media literacy related to health and safety. In Croatia, social media influencers have collaborated with media literacy experts to combat online harassment. In this program, we'll discuss strategies to develop partnerships with popular online influencers that could be leveraged to combat dis/mis/malinformation.

Who: Igor Kanižaj, PhD is Full Professor at Catholic University of Croatia, Department for Communication Science; Marshall S. Rich is a pioneer in the emerging and unique field of Forensic Cyberpsychology; Scott H. Vlachos is the Executive Director of the Council for Emerging National Security Affairs.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Media Education Lab

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Tue, Jan 21 - AI-Powered Nonprofits: 2025 Report on AI Adoption Rates, Use Cases, and Outcomes

What: Gain exclusive insights from our recent survey of over 1,000 nonprofits exploring how AI is reshaping the sector. This webinar will unpack the latest findings on how organizations like yours leverage AI to drive efficiency, enhance engagement, and achieve measurable outcomes. From exploring real-world use cases to understanding adoption trends and overcoming challenges, this session will provide actionable insights to help your nonprofit harness the power of AI for greater impact. Whether considering AI for the first time or looking to optimize your current solutions, join us to learn how to position your organization for success in 2025 and beyond.

Who: Kyle Barkins & Joe DiGiovanni, Tapp Network co-founders.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: TechSoup

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Tue, Jan 21 - AI for Trainers

What: Are you ready to dip your toes into AI for training, but feeling a bit intimidated? This session is an introduction for trainers, a friendly starting point. Whether you tap into AI to design innovative training programs, automate tasks, or personalize the learning experience, it all begins with leveraging prompts.

Who: Becky Becky Pike Pluth President and CEO, The Bob Pike Group; William Rintz from UMU an AI-powered performance learning platform.

When: 3 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Training Magazine Network

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Tue, Jan 21 - Conversation with Reynolds Journalism Institute Project Fellows

What: A conversation with Reynolds Journalism Institute Project Fellows and the projects they are working on.

Who: Andy Lee Roth is directing a project on Algorithmic Literacy for Journalists; Aura Walmer, is building a web-based toolkit that provides journalists with step-by-step guidance for creating data sonification projects; Zoli Csernatony and Dana Amihere are developing DigInThere, a tool to help newsrooms promote more informed, positive engagement in the comments sections.  

When: 7 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Society of Professional Journalists

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Wed, Jan 22 - Artificial Intelligence and Ethics

What: Find out what audiences expect from news when it comes to using AI. Join for a discussion about how AI is being used in photography and what action journalists and policymakers must consider.

Who: Chris Frost, council chair of the National Union of Journalists’ Ethics Council; Felix Simon, research fellow at the Reuters Institute for the Study of Journalism; Nick Dunmur, photographer and Head of Business & Legal at the Association of Photographers; Mathilde Pavis, international expert in intellectual property, data and ethics.

When: 12:30 pm

Where: Zoom

Cost: Free

Sponsor: National Union of Journalists, the voice of journalism in the UK and Ireland for all media, communications and PR workers

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Wed, Jan 22 - AI Tools for Video Creation

What: We’ll cover how to use Sora journalistically, and how to disclose its use to readers. We’ll also look at LensGo, FLUX, Google Video, Runway ML and other text-to-video and image-to-video tools. Participants will be given a handout with links to all the tools and exercises on how to use them. Prior to the session, have an account set up at Sora and RunwayML. And have access to a YouTube account if we want to post the videos there afterward.

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

When: 2 pm, Eastern  

Where: Zoom

Cost: Free for members, $25 for nonmembers

Sponsor: Online News Association

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Wed, Jan 22 - Copyright Confusion? Fair Use to the Rescue!

What: Definitive answers about fair use are tough to find, as most copyright decisions are determined by the courts. Yet, library patrons seek guidance about their use of copyrighted materials more frequently than sometimes the reference desk can handle. This webinar offers strategies for helping patrons make their own use decisions, and solidify the foundations on which fair use decisions are made.

Who: Sara Wolf is an associate professor of technology and media at Auburn University.

When: 2 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Niche Academy

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Wed, Jan 22 - 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: Firespring’s Kiersten Hill

When: 3 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Firespring

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Wed, Jan 22 - The Sports Advisers Are In: Breaking Down Barriers

What: There are many reasons why a sports staff may not be generating quality sports content, but the biggest hurdle is not always poor access to athletes. It might also be due to limited imagination and an over-reliance on sources. There are many other ways to diligently and creatively cover athletics on your campus. Stop in to learn ways to develop relationships with athletes, coaches and athletic departments, to take new approaches, and to develop story ideas that should elevate your sports coverage across any platform.

Who: Joe Gisondi, a student media adviser for more than 20 years, is a professor of journalism, director of student publications at Eastern Illinois University; John DiCarlo is the Managing Director of Student Media and the Claire Smith Center for Sports Media at Temple University's Klein College of Media and Communication; Chris Babb is in his sixth year as an instructor in the Rogers Department of Communication and faculty advisor for the student sports media production program at Ouachita Baptist University in Arkansas.

When: 5 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: College Media Association

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Thu, Jan 23 - Introduction to Reporting on AI

What: Designed for reporters interested in getting started but with minimal or no knowledge of AI. We will dissect what makes a good AI accountability story, from quick turnaround stories to more ambitious investigations, as well as digging deeper into a few examples.

Who: Karen Hao is an award-winning journalist covering the impacts of artificial intelligence on society. She was formerly a contributing writer at The Atlantic, a foreign correspondent covering China’s technology industry for the Wall Street Journal, and a senior editor for AI at MIT Technology Review.

When: 11 am, Eastern

Where: Zoom

Cost: Free

Sponsor: Pulitzer Center

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Thu, Jan 23 - 5 Surprising Ways to Use AI to Empower Your Editorial Teams

What: AI is transforming the way editorial teams work, but are you using it to its full potential? In this free webinar, we’ll explore five surprising ways AI can enhance your editorial processes, from streamlining content creation to improving audience engagement and optimizing workflows. Discover practical applications you might not have considered and learn how to integrate these tools seamlessly into your team’s daily tasks. 

Who: David Arkin, CEO of David Arkin Consulting.

When: 2 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: New England Newspaper & Press Association

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Thu, Jan 23 - Expert Panel Discussion: Learning Trends 2025

What: This expert panel will share their insights on the transformative learning technologies poised to shape the future.

Who: Karl Kapp, Director, Institute for Interactive Technologies, Bloomsburg University; Tony O’Driscoll Research Fellow and Academic Director, Duke University; David Metcalf, Ph.D. Director, Mixed Emerging Technology Integration Lab, University of Central Florida; Anders Gronstedt, President, The Gronstedt Group.

When: 3 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: OpenSesame

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Thu, Jan 23 – Podcasting 101

What: An insightful discussion on Podcasting 101, where our expert podcasters will cover everything from choosing the right equipment and software to building an engaged audience, monetizing your content, and much more!

Who: Charlotte Norsworthy Varnum, Executive Director at The Red & Black; Wanda Lloyd, Northwestern School of Management/Maynard Institute; Mitch Leff, President Leff & Associates.

When: 7 pm, Eastern

Where: Zoom

Cost: Free, RSVP at: SPJGeorgia@gmail.com

Sponsor: Society of Professional Journalism

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12 Ways to Spot AI Images or Videos

Tips for determining if an image or video is likely created by AI.

THE BACKGROUND. Are people in the background looking at the unusual thing going on? If they are going about their business, it is likely a fake. Often, the background of AI images will be distorted. Sometimes odd shapes in the background details are giveaways, such as floor tiles or walls. 

OTHER VIDEOS & PHOTOS. If the video or image is of a news event and there are no other videos or images showing different angles, it may be AI-generated. It is unlikely that there would be only a single image or video of something odd or newsworthy.

DETAILS. AI generators are not good at details—like fingers, hands and hair. Many times, AI software will show too many fingers or odd hand placement. Other oddities might be mismatched shoes or earrings, a misshapen jaw, or extra legs.

WRITING. Look closely at writing on a sticker, street sign or billboard. Watch for blurry writing when it shouldn’t be or wrongly formed letters, or the letters that don’t spell words.

GLOSSY. The overly glossy look, similar to some stock photos, can be an AI giveaway. Watch for people with plastic-looking faces.

THE SOURCE. Is the person or organization sharing the image reliable and not known for promoting AI-generated media?

THE EYES. In deepfake videos, people sometimes blink oddly or else they make strange eye movements. Researchers at Cornell University found deepfake faces don’t blink properly. Also, techniques devised for measuring galaxies, researchers have found that deepfake images don't have the same consistency in reflections in both eyes.

THE FACE. Look carefully at the area around the face for evidence that it was swapped onto another person’s body.

THE LIPS. Do the lips have abnormal movements and unrealistic positioning?

MOVEMENT. Watch for unnatural jumps or the absence of motion blur that is typically present in authentic videos. If creators manipulate AI-generated photos using Photoshop techniques such as blurring or file compression, they can fool detection tools.

PATTERNS. AI images often have abnormal patterns in the physics of lighting.

PHOTOMETRIC CLUES. Look at “photometric” clues such as blurring around the edges of objects that might suggest they’ve been added later; noticeable pixelation in some parts of an image but not others; and differences in coloration.

More about spotting fake news

AI Definitions: Explainability

Explainability (or explainable AI; it is similar to but not the same as interpretability or interpretable AI) - While interpretability relates to understanding an AI’s inner workings, explainable AI focus on observed patterns in what the AI does to draw conclusions. Applied after a model has already made its decision or prediction, explainability offers insight into which features or variables played into the outcome in an effort to ensure accuracy, fairness and user trust. Explainability focuses on individual decisions, rather than the model as a whole. Because explainability techniques are applied after the fact, they can be used with any model. On the downside, it can oversimplify a model's decision-making process and make is often difficult for non-experts to understand. Some governments are requiring that AI systems include explainability.

More AI definitions here