AI Definitions: Vector Databases

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Vector databases - The data is stored in a database as mathematical representations, making it easier for machine learning models to remember previous inputs, draw comparisons, identify relationships, and understand context. Vector databases enable machine learning models to identify objects that can be grouped, enabling the creation of advanced AI programs like large language models. It’s similar to being able to provide a purchase suggestion under the heading "Customers also bought..."  

More AI definitions here.

16 Articles about AI & Ethics

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13 Articles about How Companies are using AI

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A Dozen Webinars in the Next two Weeks about AI, Journalism, Social Media & More

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 Mon, May 13 - Freedom to Learn

What: A look at the recent educational gag orders and Anti-DEI legislation that have become law in several states.

Who: Jacqueline Allain, Pen America; Heidi Tseu, American Council on Education; Johnny Sparks, president of the Association of Schools of Journalism and Mass Communication; Del Galloway, president of the Accrediting Council on Education in Journalism and Mass Communications; Brian Butler, dean of the College of Communication and Information Sciences at The University of Alabama

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Assoc for Education in Journalism & Mass Communication

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Tue, May 14 - Victim-first, Trauma-informed Reporting

What: Ways to inform without hurting, to advocate without re-traumatizing, and to talk to people in pain that may help them heal — versus leaving more agony in our wake.

Who: Krista Flannigan, OVC TTAC; Anastasiya Bolton, Victory Media; Coni Sanders, PFA Counseling; Adam Rhodes IRE & NICAR

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Investigative Reporters and Editors (IRE) & the Society of Professional Journalists

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Thu, May 16 - Social Media and the First Amendment

What: An expert panel discussion exploring the intersection between digital policy issues and the First Amendment, the free speech implications of proposals to address online problems, and how lawmakers could address these problems without infringing on users' or companies' speech rights.

Who: Ashley Johnson, Senior Policy Manager, Information Technology and Innovation Foundation; Aaron Mackey, Free Speech and Transparency Litigation Director, Electronic Frontier Foundation; Kate Ruane, Director, Free Expression Project Center for Democracy and Technology; Nicole Saad, Litigation Center Associate Director

When: 12 noon, Eastern

Where: Zoom

Cost: Free

Sponsor: Information Technology & Innovation Foundation

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Thu, May 16 - How AI-Powered Data is Transforming the Future of Marketing

What: Discover how to leverage AI to transform the future of your marketing efforts. You’ll find out: How leveraging the right data can enrich your understanding of your customers; Why it’s essential to build a strong, AI-powered marketing foundation now Strategies to stay ahead in a fast-paced landscape.

Who: Ericka Podesta McCoy, CMO of Resonate.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: AdWeek

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Thu, May 16 - AI Spotlight Series: Introduction to AI Reporting

What: This course is designed for reporters interested in getting started but with minimal or no knowledge of artificial intelligence. We will begin with the basics, covering the history of AI, how the technology works, and key technical concepts such as “neural networks” and “deep learning.” We will also dissect what makes a good AI accountability story, from quick turnaround stories to more ambitious investigations, and dig deeper into a few examples. At the end of the course, those who are interested in learning more are encouraged to register for the AI reporting intensive.

Who: Karen Hao is an award-winning journalist covering the impacts of artificial intelligence on society and a contributing writer at The Atlantic.

When: 3 am, Central

Where: Zoom

Cost: Free

Sponsor: The Pulitzer Center

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Fri, May 17 - 30 Minute Skills: How to Develop a Beat

What: By attending this class, you’ll learn: How to identify key sources on your new beat and develop relationships with them over time; How to find the authoritative voice on a complicated beat to get exclusives and drive coverage; How to use social media to identify new stories and find sources within your beat without having a huge following.

Who: Alexa Gagosz, The Boston Globe 

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: The New England Newspaper & Press Association

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Fri, May 17 -Tips for Journalists: How to access & customize the LexisNexis database

What: With millions of articles within the LexisNexis database, it can be easy to get lost in the database. Knowing how to customize it for your reporting purposes is key.

Who: Award-winning investigative reporter and editor Brad Hamilton

When: 11:30, Eastern

Where: Zoom

Cost: Free

Sponsor: The National Press Club’s Journalism Institute

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Tue, May 21 - Understanding Instagram Analytics

What: This discussion will dive into the Instagram for Business interface and look at different parts of the analytics data offered and what you can do with the information.

Who: Sarah DeGeorge, a digital marketing specialist who works in paid and organic marketing, public relations, and social media marketing and management

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Small Business Development Center, Temple University

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Tue, May 21 – Social Media 102

What: Advanced social media tips and tricks, elevate your social media presence through micro strategies and activate your advocates.

Who: Kiersten Hill, Director of Nonprofit Solutions

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: FireSpring

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Tue, May 21 - Research Integrity and AI: Navigating Challenges and Leveraging Potential 

What: Understanding both the threats and the potential benefits of AI in ensuring reliable research outcomes. Examining the interplay between technology and human resources in maintaining research integrity. Recognizing the crucial role libraries play in fostering and upholding research integrity.  Discovering essential resources that aid research integrity efforts.

Who: Chris Graf, Research Integrity Director at Springer Nature

When: 11 am, Eastern

Where: Zoom

Cost: Free

Sponsor: Springer Nature

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Wed, May 22 - Prompt Writing

What: In this hands-on workshop on prompt writing best practices, we’ll start with a short presentation with tips, then examples and plug-play exercises on writing prompts for ChatGPT, Gemini and Claude.ai. We’ll discuss ethics, legal issues, and more along the way. We’ll cover how to write prompts that prevent hallucinations with AI tools, and how to train ChatGPT to present information in a format that you want it to.

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

More Info

 

Thu, May 23 - Introduction to AI Reporting 

What: This course is designed for reporters interested in getting started but with minimal or no knowledge of artificial intelligence. We will begin with the basics, covering the history of AI, how the technology works, and key technical concepts such as “neural networks” and “deep learning.” We will also dissect what makes a good AI accountability story, from quick turnaround stories to more ambitious investigations, and dig deeper into a few examples. At the end of the course, those who are interested in learning more are encouraged to register for the AI reporting intensive.

Who: Karen Hao is an award-winning journalist covering the impacts of artificial intelligence on society and a contributing writer at The Atlantic; Gabriel Sean Geiger is an Amsterdam-based investigative journalist specializing in surveillance and algorithmic accountability reporting.

When: 9 am, Central

Where: Zoom

Cost: Free

Sponsor: The Pulitzer Center

More Info

18 Articles about Politics & AI

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The dos and don’ts of campaigning with AI – Washington Post

Nervous about falling behind the GOP, Democrats are wrestling with how to use AI — Associated Press

Deepfakes of Bollywood stars spark worries of AI meddling in India election – Reuters

AI sharpens political targeting in US presidential race – Voice of America

An A.I. Researcher Takes On Election Deepfakes – New York Times

What is propaganda? What's a deep fake? And can they influence elections? – Tennessean  

In Arizona, election workers trained with deepfakes to prepare for 2024 - Washington Post

Political operative and firms behind Biden AI robocall sued for thousands - The Guardian

‘Inflection point’: AI meme wars hit India election, test social platforms – Al Jazeera

Election disinformation takes a big leap with AI being used to deceive worldwide – Associated Press

With elections looming worldwide, here’s how to identify and investigate AI audio deepfakes – Harvard’s Nieman Lab

Underdog Who Beat Biden in American Samoa Used AI in Election Campaign – Wall Street Journal  

AI call quiz: see if you can spot the sham audio of Trump and Biden – The Guardian

Fake images made to show Trump with Black supporters highlight concerns around AI and elections – Associated Press   

How AI-generated disinformation might impact this year’s elections and how journalists should report on it – Reuters Institute

San Francisco Chronicle AI will shake up democracy — for better or worse – SF Chronicle

FBI warns that foreign adversaries could use AI to spread disinformation about US elections - Washington Post 

AI Threatens Elections by Capitalizing on Human Foibles, Officials Warn – Wall Street Journal

23 Articles about Journalism & AI: Uses, Ethics, & Dangers

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66% of leaders wouldn't hire someone without AI skills, report finds - ZDnet

Meet AdVon, the AI-Powered Content Monster Infecting the Media Industry – Futurism

New AI and Large Language Model Tools for Journalists: What to Know - Global Investigative Journalism Network

AI is disrupting the local news industry. Will it unlock growth or be an existential threat? – Poynter

How Generative AI Is Helping Fact-Checkers Flag Election Disinformation, But Is Less Useful in the Global South – Global Investigative Journalism Network

AI-generated news is here from SF-based Hoodline. What will that mean? -San Francisco Chronicle

News industry divides over AI content rights - Axios 

8 major newspapers join legal backlash against OpenAI, Microsoft – Washington Post

The business of news in the AI economy – Wiley Online Journal

Nearly 70% of newsroom staffers are using A.I. in some capacity, leveraging the technology to generate headlines, edit stories, and perform other tasks – Poynter  

How AI-generated disinformation might impact this year’s elections and how journalists should report on it – Reuters Institute  

AI is already reshaping newsrooms, AP study finds - Poynter 

AI news that’s fit to print: The New York Times’ editorial AI director on the current state of AI-powered journalism – Harvard’s Nieman Lab

Watermarks are Just One of Many Tools Needed for Effective Use of AI in News – Innovating  

We’re not ready for a major shift in visual journalism - Poynter 

Axios Sees A.I. Coming, and Shifts Its Strategy – New York Times 

Newsweek is making generative AI a fixture in its newsroom - Harvard’s Nieman Lab 

Your newsroom needs an AI ethics policy. Start here. – Poynter

Is AI about to kill what’s left of journalism? – Financial Times

Pulitzer’s AI Spotlight Series will train 1,000 journalists on AI accountability reporting – Harvard’s Nieman Lab

AI newsroom guidelines look very similar, says a researcher who studied them. He thinks this is bad news – Reuter’s Institute 

AI’s Most Pressing Ethics Problem – Columbia Journalism Institute

Impact of AI on Local News Models – Local News Initiative

16 Recent Articles about the Dangers of AI

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16 Articles about Social Media & AI

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A Dozen Quotes about AI & Academic Scholarship

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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

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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

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33 Articles from April about Data Science & AI

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 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

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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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AI Definitions: Deep Learning

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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. 

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Defining Artificial Intelligence

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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.

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13 Things People are Trying to Get AI to Do

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