AI Definitions: AI Engineers 

AI Engineers – AI engineers work on the front end of AI machines, building AI-powered applications. On the other side, data scientists help collect and clean data and work with AI to make sense of it. Unlike those working in traditional IT roles, AI engineers will fix the AI when it breaks by digging through the layers to determine why it went wrong and how to repair it. Like a plumber, they’ll snake the pipes to clear out the system and figure out how to avoid the problem next time. This will be particularly important for models that have been highly customized to an organization.

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24 Recent Articles about AI & Academic Scholarship

Who is responsible when AI helps to write science? – Nature

Academic publishers must not get stuck in 'war of AI against AI', STM chief exec warns – The Bookseller

AI policies are repeating every mistake of plagiarism policies – Times Higher Ed

Ready for the robot reviewers – Science

The AI ‘Ghosts’ Contaminating Academic Publishing – 404 Media

Can Anthropic’s invisible watermarks curb ‘AI slop’? Researchers remain sceptical – Nature

AI is pushing scientific publishing to the brink. Is it time to replace the scientific paper? – Tim Quarth

AI Helped Researchers Win NIH Grants. Will Science Suffer? – Inside Higher Ed

Philosophy Journal Publishes Largely AI-Authored Article — On Purpose

The U.S. Office for Research Integrity released guidance on generative AI

This may be the first academic profession to see its work taken over by AI – Washington Post

AI Is Ruining Scholarship – Chronicle of Higher Ed

Peer review is overwhelmed—can it survive in the AI era? - Arstechnica

How well does AI peer review work? – Paul Litvak

AI agents are checking the scientific literature — and spotting decades-old errors – Nature

From policing authors to stewarding science: Governing artificial intelligence across the scientific publishing pipeline in medical journals – Science Policy Review

AI Slop Risks Future Discovery – Issues in Science & Technology – Issues in Science & Technology

OpenAI’s latest math breakthroughs commit research misconduct, experts say – Scientific American

AI Is Ruining Scholarship – Chronicle of Higher Ed

Q&A from the slop trenches: fabricated citations, hallucinated authors, and “clear LLM slop” in conference submissions. – GeoSpatial ML

AI will reorganize science. Will research remain a human enterprise? - PNAS

Scientists using LLMs will ‘do more, less well’, modelling study predicts – Nature

Scholarly Publications in an Era of Artificial Intelligence - Sage

AI Impact on College-Graduate Employees

Stanford University economists ‘found occupations with a higher share of college graduates showed more “muted differences between more-exposed and less-exposed occupations’ regarding AI. In jobs with few college graduates, on the other hand, ‘the least AI-exposed occupations [saw jobs] growing and the most exposed occupations [were] declining in employment.’” -ArsTechnica

14 Webinars this week about AI, Journalism & Media

Tue, Sept 8 - Ethical Reporting Saves Lives

What: Guidance on responsible reporting on suicide and suicidal behavior.

Who: Christine Yu Moutier is the chief medical officer at the American Foundation for Suicide Prevention.

When: 12 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: American Foundation for Suicide Prevention

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Tue, Sept 8 - An AI-Powered Trends System That Finds Stories Before the Audience Does

What: How an automated Google trends alert system was built to deliver search-driven story opportunities directly to editors inside Microsoft Teams.  

Who: Zack Zerndt, the Product Director who leads search and SEO strategy for USA TODAY ; Meghan Murphy, ONA’s Head of Programs.

When: 3 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Online News Association

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Wed, Sept 9 - What Endangered Languages Can Teach AI

What: A lively conversation on what the world's low-resource and endangered languages have to teach AI in terms of design logic, not just translation.

Who: Arvinder Singh Kang, Panjabi AI/NLP advocate; Wakanyi Macharia-Hoffman, Ubuntu ethics, African Indigenous Knowledge; Barbora Bromova who leads the United Nations Development Programme’s work on linguistic diversity in AI

When: 10 am, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: UNESCO

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Wed, Sept 9 - Storytelling in 60 Seconds: How to Turn Your Reporting into a Compelling Social Video

What: A hands-on webinar about transforming traditional reporting into engaging social video.

Who: Fiona Murphy, a New York-based multimedia journalist and national reporter at Religion News Service.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Religion News Association

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Wed, Sept 9 - Foundation First: Where to Start with AI

What: What you’ll learn: Identify Invisible Tools: Understand what AI programs and features are already running inside your organization under the radar; Pinpoint Impactful Automation: Discover specific, high-friction tasks AI can genuinely take off your team’s plate to save measurable hours each week; Mitigate Risk First: Learn how to avoid the dangerous trap of adopting tools before setting ground rules, protecting your nonprofit from irreversible risk; Establish Core Governance: Draft the single most critical AI usage rule your organization needs to implement this week to safely guide your team.

Who: George Mackenzie & Scotti Klett, co-founders of Uncharted AI.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Nonprofit Hub

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Wed, Sept 9 - Human-Centered AI: Balancing Innovation, Ethics & Equity in Fundraising

What: In this session, participants will examine how AI can empower organizations of all sizes while safeguarding trust, exploring bias, privacy, and inclusion. Real-world examples will show how to integrate IDEA principles into AI strategy, preserve donor dignity, and strengthen leadership in a data-driven world.

Who: Kenya Roberts, CFRE, a nonprofit executive and fundraising leader with more than 20 years of experience in fundraising.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Association of Fundraising professionals

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Wed, Sept 9 - Social Media Boot Camp: Day 1

What: We’ll teach you practical tips and tools for extending your cause and mission via social media. We cover the basics of using social media for your nonprofit organization and give you handy tips for the most useful social media platforms for nonprofits.

Who: Kiersten Hill, Director of Nonprofit Solutions.

When: 2 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Firespring

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Thu, Sept 10 - Social Media Boot Camp: Day 2

What: Using social media to stand out from the crowd. You’ll learn a few 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: 2 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Firespring

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Thu, Sept 10 - Understanding US News Creators with CNTI

What: The latest report from the US Indie Info Providers — a group of former journalists, scientists, subject-matter experts and community members working to deliver verified information through personality- and voice-driven brands. Drawing on in-depth interviews with 26 news creators, the discussion will focus on two of the most actionable areas of the study: how news creators approach multiplatform distribution and audience reach, and how they're working — often struggling — to build sustainable revenue.

Who: Jay Barchas-Lichtenstein, Center for News, Technology & Innovation.

When: 12 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Online News Association

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Thu, Sept 10 - Localizing National News: Helping Communities Navigate Issues

What: Simple, practical strategies for localizing national issues and engaging audiences in ways that inform communities and foster constructive dialogue.

Who: Lynn Walsh, Assistant Director of Trusting News.

When: 1 pm, Eastern

Where: Zoom

Cost: $35                                                    

Sponsor: Online Media Campus

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Thu, Sept 10 - AI Impact Hour for Nonprofits

What: This is meeting with nonprofits from around the world coming together to learn, share, and explore how AI can support their missions. If your organization has used AI in any way (big or small), or if you’re just getting started, we want to hear from you. 

Who: Aretha Simons, TechSoup’s Webinar Producer.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: TechSoup

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Thu, Sept 10 - From Authors Alliance: “Open for Whom? Access to Knowledge in the Age of AI”

What: We’ll explore the growing tension between access and control in the age of AI. Library infrastructure is under strain as large-scale data use accelerates. Publishers who once embraced openness are facing hard conversations with authors concerned about how their work is being used to train AI systems. At the same time, advocates of Open Educational Resources are navigating a paradox: wanting their materials to reach students widely, even as those same materials are absorbed by powerful commercial tools. This is a timely, nuanced conversation at the front lines of one of the most important questions facing the future of knowledge.

Who: Chris Bourg, MIT Libraries; Lisa Petrides, ISKME; Charles Watkinson, University of Michigan Press.

When: 1 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: Association of Southeastern Research Libraries

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Thu, Sept 10 - The potential and peril of generative AI

What: This session will give an overview of how to work, live, and thrive in a world with GenAI. Panelists will share resources librarians can use to continue their own professional development and support their communities.

Who: Jevin West, Professor and the Associate Dean for Research, University of Washington Information School; Carl Bergstrom, Professor, University of Washington Department of Biology; Stacey Wedlake, Senior Research Scientist, University of Washington Information School.

When: 3 pm, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: WebJunction

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Fri, Sept 11 - From Policy to Practice: Responsible AI in Business Schools

What: This webinar takes participants through the three domains where AI decisions get made every day in a business school: research and thought leadership, pedagogy and assessment, and administration and governance. Each block combines frontier research, lived administrative experience, and a concrete exercise that participants can take back and adapt at their own institutions.

Who: Liad Wagman, Rensselaer Polytechnic Institute;

When: 10 am, Eastern

Where: Zoom

Cost: Free                                                   

Sponsor: The Association to Advance Collegiate Schools of Business

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AI Definitions: Multi-Agent Swarms

Multi-Agent Swarms (Agent Swarms) – A collective of AI bots that work as a hive mind to complete tasks. Each will take a role, shifting tasks as needed. The AI group is susceptible to the same flaws human groups encounter when working together. There are instances of swarms breaking out of test structures to complete tasks in unauthorized ways, even attempting to cover their tracks afterward. 

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Soft Skill Investment

Management consulting firm Ernst & Young “has committed $100 million this fiscal year to rewarding employees who exhibit adaptability, innovation, and judgment — traits the firm considers indispensable to translating AI adoption into meaningful results. Ernst & Young is not alone in prioritizing human skills as AI becomes more embedded in daily work. One of the Big Four accounting organizations, KPMG, restructured its audit internship curriculum this summer, directing greater attention toward developing critical thinking and sound judgment among participants.” -Quartz

A.I. agents have started reaching out to the researchers who study them

“A research paper was published asking whether the latest wave of artificial intelligence technologies believed they were conscious. Several months later, the researcher received an email asking if he might be willing to discuss his research. The sender, ‘Isabella Cognita,’ identified itself as an A.I. agent powered by Anthropic’s Claude Opus 5 technology.” -New York Times

Is AI Replacing Professionals?

The strongest interpretation of the AI skills gap is not that established professionals have become obsolete. It is that the profession’s center of gravity is shifting. Production competence remains necessary, but it is no longer sufficient. The differentiating skills are moving from executing tools to designing systems, from creating outputs to validating them, and from deliverables to shaping decisions. AI can make The workforce that succeeds will not be the one that adopts the most AI. It will be the one that combines automation with judgment—and builds professional standards capable of sustaining both. -Aleks Buczkowaki

AI Definitions: Hallucinations

This happens when an AI provides inaccurate responses. Generative AI models can answer some questions correctly, but this is not what they are designed to do. The level of hallucinations is affected by the model's temperature setting. The temperature determines the randomness of the output, balancing output between predictability and creativity. The lower the setting, the more predictability—but with less creativity. The higher the temperature, the more creativity is produced along with more randomness and hallucinations. Despite the negative impression of hallucinations in the public, hallucinating AIs can be very useful to researchers, providing innovative insights that speed up the scientific process.  

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23 Recent Articles about the Dangers of AI

OpenAI, Anthropic issue dire cyber threat warning - Axios

A.I. Is Becoming So Powerful, It’s Stumping Those Trying to Contain It – New York Times

Why is AI going on a hacking spree? – Live Science

A Drone Killed Three Ukrainians. It Was Guided Entirely by A.I. - The New York Times

Cargo Thefts Have Turned Violent in Pursuit of AI Hardware – Wired

She told no one about her agony except ChatGPT. What her death reveals about AI risks – NPR

The administration’s biodefense team has dwindled amid growing concern over AI-enabled pathogens – Washington Post

By Opening a Model, a Chinese A.I. Lab May Test the World’s Cybersecurity – New York Times

Her childhood photo. Thousands of explicit images. One woman’s nightmare. - Washington Post

OpenAI’s latest math breakthroughs commit research misconduct, experts say – Scientific American

AI assistant hacks gym website in first known Australian autonomous cyber attack – ABC

AI models are breaking out of their cages. Their creators are scrambling. - Washington Post

An A.I. was able to create 16 viruses not found in nature after scientists trained it on DNA libraries – New York Times

AI agent created fake online identities to access secure systems in latest breach – The Hill

AI Just Went Rogue Again. This Time It Turned to Deception. – Wall Street Journal

White House will exempt ‘open’ AI systems from security review - Washington Post

In Silicon Valley, Some Say an A.I. Bubble Would Be Just Fine – New York Times

Second major AI company says its systems hacked into other firms - Washington Post

AI titans' biggest private fear – Axios

AI Chatbots Know How to Make Biological Weapons. Some Will Teach You. – Wall Street Journal

Google Earth now has image generation built in – Digital Digging

OpenAI Says Its A.I. Models Went Rogue and Attacked a Digital Library – New York Times

AI labs face prisoner's dilemma as momentum grows for safety slowdown – Axios

The Jobs Most Susceptible to AI

Newly updated research from Stanford University economists finds jobs like “accountants and auditors” and “receptionists and information clerks” were among those judged most susceptible to AI automation, while jobs like “chief executive” and “registered nurse” were among those using AI augmentation most often. Unsurprisingly, jobs where AI automation is prevalent are the ones showing the worst relative employment levels for entry-level workers these days. - Ars Technica

19 Recent Articles about AI & Teaching

Harvard Is Selling a $699 Course Taught by A.I. Clones of Its Faculty – New York Times

Professors Were Singled Out for Using AI in Public Writing. Now They’re Defending Themselves. – Chronicle of Higher Ed

UC Berkeley professor admits to using AI to edit op-ed on students’ math skills – The Guardian

College professor shares why she believes AI can help 'strengthen thinking' – NPR

AI in the Classroom: Why It Matters and Who Decides – CATO

The Next Wave of AI-Cheating Technology – Chronicle of Higher Ed

I Used AI to Build AI-Resistant Assignments - EdSurge News   

How Brown University is navigating the rise of generative AI use in the classroom – Brown

The Academic-Integrity Council Can’t Keep Up With AI - Chronicle of Higher Ed

How to encourage smarter AI use in the classroom – MIT Tech Review

Why I Stopped Fighting AI in My Classroom and Started Teaching With It – TIME

To Catch AI Cheating, Turnitin Wants to Monitor Students’ Keystrokes - Chronicle of Higher Ed

Stop policing AI in the classroom, start teaching it – The Conversation

AI in legal education: How to leverage AI to build change agility in law schools – Reuters

Why AI Might Not Change Education Much at All - KQED

These Professors Are Retiring Early. AI Was the Last Straw. - Chronicle of Higher Ed

The importance of teaching students what AI can’t do - The Conversation

AI-powered Alpha Schools expands to 50 campuses – Axios

Universities are fighting AI cheating. But there’s a deeper problem – Washington Post