Never
/Never miss a good chance to shut up - Attributed to Will Rogers
31 Webinars this week about AI, Journalism & Media
/Mon, April 27 - Scrollytelling and Visual Journalism: A Professional Approach
What: We will explore how immersive narratives and interactive design are reshaping modern journalism. This session will examine how compelling scrollytelling experiences are conceived, designed, and produced through real-world examples. A special focus will be placed on ethical decision-making in visual storytelling, including responsible data sourcing, fair and accurate representation, visual manipulation boundaries, AI-assisted production, and transparency within newsroom workflows. The webinar will also highlight the highly collaborative nature of visual journalism, emphasizing the dynamic partnership between reporters, designers, and developers. Attendees will gain a deeper understanding of how interdisciplinary teamwork strengthens storytelling, enhances credibility, and brings complex stories to life in visually engaging ways.
Who: Visuals Editor of the Guardian (UK) Ashley Kirk.
When: 11 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Education in Journalism and Mass Communication
Mon, April 27 - The Future of AI and Implications for Higher Education and the World of Work
What: This webinar will discuss the current and evolving AI landscape and offer forward-looking perspectives from panelists tracking developments closely. A wide range of topics will be explored, including agentic AI, the value of the degree, ongoing shifts in how work is performed, and the changing role of higher education now and in the future. The webinar will also detail the varied responses colleges and universities have adopted thus far and outline practical paths forward for institutions as they contemplate and implement next steps throughout 2026 and beyond.
Who: Bryan Alexander, Senior Scholar in the Learning Design and Technology Program, Georgetown University; Dustin Bruzenak, Chief Executive Officer Modern Logic; Michelle Kassorla, Associate Professor of English Georgia State University–Perimeter College; Bethany Miller, Associate Provost and Chief Data Officer, Macalester College; C. Edward Watson, Vice President for Digital Innovation, AAC&U; Caleb Keith, Assistant Vice President for Digital Initiatives, AAC&U.
When: 11 am, Eastern
Where: Zoom
Cost: Free
Sponsor: American Association of Colleges and Universities
Mon, April 27 - Mission Brief: The AI Trends Analysts Are Tracking in 2026
What: In this session, we'll set the scene for what's really at stake when enterprises adopt AI without a security strategy. Drawing on the latest analyst insights and real-world risk patterns, this session delivers the executive-level brief every CISO and security leader needs to confidently own the AI security conversation in their organization.
Who: Joe Tustin, Cyera’s Technical Data and AI Evangelist; Christy Hart Smith, Director of Global Analyst Relations; Rick Holland, Data Security and AI Governance Officer.
When: 11 am, Eastern
Where: Zoom
Cost: Free
Sponsor: TechTarget
Mon, April 27 - AI Has Joined the Faculty
What: This discussion will explore: How faculty members are using AI in teaching and course design; Where AI can save time and where caution is warranted; What transparency and shared expectations should look like; How colleges can approach policy, governance, and trust.
Who: Beth McMurtrie, Senior Writer The Chronicle of Higher Education; Flower Darby, Associate Director, Teaching for Learning Center, University of Missouri; Chris Hakala, Executive Director, Center for Excellence on Teaching, Learning and Scholarship Springfield College; Susan Purrington, Harold F. Wiley Generative AI Teaching and Learning Fellow, Connecticut College; Evan Silberman, Senior University Dean of Academic Innovation Office of Academic Affairs, CUNY.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Chronicle of Higher Ed
Mon, April 27 - How to Stay Productive in the Digital Age
What: We discuss easy‑to‑apply tips to help supervisors use digital tools more intentionally. You’ll learn tactics you can apply right away to improve communication, run more effective meetings, and keep your team aligned — without adding new tools or processes.
When: 4 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: GovLoop
Tue, April 28 - Academic Integrity in Higher Education
What: This webinar is designed to help faculty and administrators respond to current and emerging academic integrity challenges, drawing on insights from experts in academic integrity administration, writing pedagogy, and faculty practice across multiple institutional contexts. Practical pedagogical strategies, effective classroom approaches, and up-to-date perspectives regarding AI detection will be among the topics explored in this action-oriented webinar.
Who: José Antonio Bowen, Senior Scholar AAC&U; Antonio Byrd, Associate Professor of English, University of Missouri–Kansas City; Anna Mills, Modern Language Association Task Force on AI in Research and Teaching, College of Marin; Susan Ray, Associate Professor of English, Delaware County Community College; Camilla Roberts, Director of the Honor and Integrity System, Kansas State University; C. Edward Watson, Vice President for Digital Innovation, AAC&U.
When: 11 am, Eastern
Where: Zoom
Cost: Free
Sponsor: American Association of Colleges and Universities
Tue, April 28 - Poynter Beat Academy: ICE Impact on Children and Families
What: Learn how to cover ICE enforcement and its impact on children and families. Gain more practical strategies for reporting on immigration with accuracy and care. Identify strong story angles on education, health care and housing impacts.
Who: Jon Greenberg, Poynter Faculty; Zain Lakhani, Director of Migrant Rights and Justice; Julie Sugarman, Associate Director for K-12 Education, Research at MPI’s National Center on Immigrant Integration Policy; Lidia Terrazas, Gulf State Reporter, Univision.
When: 11:30 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Poynter
Tue, April 28 - Beyond the Headlines: Navigating Today’s Information Landscape
What: Learn how today’s info landscape shapes visibility for nonprofits.
Who: Rosemary Ostmann founded boutique firm RoseComm; Lara Cohn is an account director at RoseComm.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: NonProfit Help Desk
Tue, April 28 - How journalism collaboratives can write strong grant proposals
What: Move past the intimidation and learn how to write strong and successful grant proposals for your journalism collaborative Whether you’re going after your first grant or your 50th, it can be intimidating to sit down and write that proposal. Learn best practices for writing them and how collaboratives can adapt a proposal to meet their needs and a funders’ needs. You'll also learn how to navigate the changing funding landscape and what it means for local journalism.
Who: Founder of the Southwest Michigan Journalism Collaborative Sarah Lee. She specializes in nonprofit strategy with expertise in journalism collaboratives and sustainable funding models.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Center for Cooperative Media
Tue, April 28 - Current AI Issues in PR Practice
What: This webinar focuses on the contemporary AI issues facing public relations practice, including ethics. Specific attention is given to how AI impacts online reputation management, using AI to create intellectual property, and ethical concerns over AI use and privacy. The presentation will also discuss future issues of AI and its impact on PR and communication practice.
Who: Cayce Myers, Professor and Director of Graduate Studies at Virginia Tech, School of Communication; Cayce Myers, Professor and Director of Graduate Studies at Virginia Tech, School of Communication.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Florida Public Relations Association
Tue, April 28 - AI Impact Hour for Nonprofits
What: In this session, you’ll learn how to: Streamline communication and content creation; Organize information and reduce repetitive tasks; Support fundraising and outreach with beginner-friendly tools.
Who: Aretha Simons, TechSoup
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: TechSoup
Tue, April 28 - How AI Is Redefining Brand Strategy
What: In this panel, brand and marketing leaders explore a critical question: How do you protect the soul of your brand when AI is reshaping every touchpoint? Drawing on real examples, we’ll examine where human judgment still matters most, how brand strategy must evolve when machines read data instead of stories, and why clarity, empathy, and distinctiveness (not volume) are becoming the defining advantages in an AI‑mediated market.
Who: Joanna Berliner, Head of Creative, Wayfair North America; Ben Hall, Empathy Lab North America.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: AdWeek
Tue, April 28 - Teaching Critical-Thinking Skills in the Age of AI
What: This forum will explore moving toward a pedagogy that foregrounds the teaching of thinking skills.
Who: Ian Wilhelm, Deputy Managing Editor, The Chronicle of Higher Education; Michelle Miller, Professor, Department of Psychological Sciences, Executive Director, Institute for Advancing Applications in Artificial Intelligence, Northern Arizona University; Annette Vee, Associate Professor of English, Faculty Liaison for AI Enablement, Pitt Digital University of Pittsburgh.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Chronicle of Higher Ed
Tue, April 28 - Blurred Lines: Should journalists be defined and regulated?
What: The panel will examine how to identify reporters and ethical journalism in a sea of digital content creators, activists masquerading as reporters and misinformation.
Who: Panelists include Olivia Hicks, The Minnesota Star Tribune sports reporter; Liz Kelly Nelson, founder of Project C; Aaron Parnas, digital news creator and “Newsfluencer”; Erik Ugland, Marquette University associate professor; SPJ Ethics Committee Chair Dan Axelrod.
When: 7 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Society of Professional Journalists
Wed, April 29 - AI for Social – Scripts, captions and making it sound like you
What: This session explores how AI can support social storytelling without flattening your voice. You’ll look at practical ways to turn reporting into platform-ready scripts and captions, while learning how to spot when AI output is generic, off-brand or just wrong. The focus is on speed, judgement and staying editorially in control.
Who: Tristan Werkmeister, Social Media Reporter at Reuters.
When: 7:30 am, Eastern
Where: Zoom
Cost: Member: £15, Nonmembers: £25
Sponsor: Women in Journalism
Wed, April 29 - ChatGPT for Work 102: Leveraging AI to do your best work
What: Learn how to conduct deep research for report writing, organize your work with Projects, and build custom GPTs to automate tasks.
Who: Juliann Igo, GTM, OpenAI.
When: 9 am, Eastern
Where: Zoom
Cost: Free
Sponsor: OpenAI Academy
Wed, April 29 - Spotify’s Adoption of Agentic-First Development
What: We’ll explore what agentic-first development looks like at scale, what changed, what broke, and which platform principles made it work.
Who: TNS host Jennifer Riggins; Spotify’s Stefan Särne and Sanjana Seetharam.
When: 10 am, Eastern
Where: Zoom
Cost: Free
Sponsor: The New Stack
Wed, April 29 - Faculty Perspectives on AI
What: This webinar will begin with a review of the findings of findings from a national survey capturing faculty perspectives on AI and then move into insights from those who collaborate most closely with faculty across departments and disciplines in higher education. Building on the findings and panelist insights, the webinar will surface persistent and emerging AI-related challenges faced by faculty, highlight the evolving needs of instructors and students, and outline actionable steps institutions can take to support effective and ethical integration of AI in service of student learning and student success. It will also emphasize how the wide range of faculty perspectives can serve as catalysts for meaningful institutional progress.
Who: Julaine Fowlin, Assistant Professor and Executive Director of the Center for the Advancement of Teaching and Learning Medical University of South Carolina; Chris Hakala, Executive Director of the Center for Excellence Training and Professor of Psychology, Springfield College; Amanda Irvin, Executive Director of the Center for Teaching and Learning, Columbia University; Lee Rainie, Director of the Imagining the Digital Future Center, Elon University; Melinda Rhodes-DiSalvo, Executive Director of the Center for Teaching, Learning, and Assessment, Ohio University; C. Edward Watson, Vice President for Digital Innovation, AAC&U; Hannah Schneider, Director of Digital Education Programs, AAC&U.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: American Association of Colleges and Universities
Wed, April 29 - Inside NotebookLM
What: Learn how to use NotebookLM to analyze sources, generate insights, and streamline your research workflow. NotebookLM is changing how journalists and researchers work with information. This session introduces what the tool can do, why it matters, and how it can help you move from raw documents to meaningful insight more quickly and effectively. This session is a guided walkthrough designed to share practical examples, strategies, and ideas you can apply immediately, with time at the end for questions and discussion.
Who: Jeremy Caplan, Director of Teaching and Learning at CUNY's Newmark Graduate School of Journalism.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Sunlight Research Desk
Wed, April 29 - Faculty Perspectives on AI
What: The webinar will surface persistent and emerging AI-related challenges faced by faculty, highlight the evolving needs of instructors and students, and outline actionable steps institutions can take to support effective and ethical integration of AI in service of student learning and student success. It will also emphasize how the wide range of faculty perspectives can serve as catalysts for meaningful institutional progress.
Who: Julaine Fowlin, Assistant Professor and Executive Director of the Center for the Advancement of Teaching and Learning Medical, University of South Carolina; Chris Hakala, Executive Director of the Center for Excellence Training and Professor of Psychology, Springfield College; Amanda Irvin, Executive Director of the Center for Teaching and Learning, Columbia University; Lee Rainie, Director of the Imagining the Digital Future Center, Elon University; Melinda Rhodes-DiSalvo, Executive Director of the Center for Teaching, Learning, and Assessment, Ohio University; C. Edward Watson, Vice President for Digital Innovation, AAC&U.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: American Association of Colleges and Universities
Wed, April 29 - Readying Your Data for AI
What: A practical discussion on what it really takes to get federal data ready for secure, responsible AI. We’ll draw on lessons from across government and from Everpure’s work as an AI‑ready data and storage platform partner to show how agencies are building foundations that AI can trust.
Who: Austin Boone, Consulting Field Solutions Architect, Everpure.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: GovLoop
Wed, April 29 - How to Make Social-First Videos That Reach New Audiences
What: Attendees will learn how to find and use trends, the basics of creating content on their phones, and gain access to exclusive tips and tricks for making concise, digestible videos for social media. By the end of this session, you will be better prepared to create your own short-form videos that engage and grow new audiences on social media.
Who: Rahim Jessani, Bottom Up Media; Meghan Murphy, Head of Programs, ONA.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Online News Association
Wed, April 29 - ChatGPT for Work 101: A guide to your AI superassistant
What: In this session, we'll cover: An overview of AI and ChatGPTs; Best practices for writing good prompts; Demos of content creation, data analysis, and image generation; How to discover use cases of ChatGPT at work.
Who: Juliann Igo, GTM, OpenAI.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: OpenAI Academy
Wed, April 29 - Why Revise the SPJ Ethics Code Now, and What Should Be Improved?
What: The Ethics Committee will host “Why Revise the SPJ Ethics Code Now, and What Should Be Improved?” Committee members will discuss Code revision-related comments and suggestions emailed to ethics@spj.org and submitted via surveys for the public, journalists and those close to journalism.
Who: Stephen Adler, director of New York University’s Ethics and Journalism Initiative; Eric Deggans, NPR critic-at-large and Knight Chair in Journalism and Media Ethics, Washington and Lee University; Jackie Padilla, digital director, Scripps NewsChannel 5 Network - Chris Roberts, Ethics Committee vice-chair, associate professor and media ethics researcher, University of Alabama; Kevin Z. Smith, executive director, Kiplinger Program in Public Affairs Journalism, Ohio University; Lynn Walsh, assistant director, Trusting News.
When: 7 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Society of Professional Ethics
Thu, April 30 - Q&A with V Spehar of Under the Desk News
What: What it means to build trust as an independent news creator. How do creators translate complex political and cultural developments into formats that work on platforms such as TikTok? How do they balance credibility, audience expectations and commercial opportunities? And what lessons can publishers take from the ways creator-led journalism connects with audiences and builds communities online?
Who: V Spehar, Under The Desk News; Pierre Caulliez, Founder, Yoof, WAN-IFRA Lead, News Creator Exchange.
When: 10 am, Eastern
Where: Zoom
Cost: Free
Sponsor: World Association of World Publishers
Thu, April 30 - The Art of Editing: The Journey from First Draft to Final Draft
What: We'll teach you strategies for editing that will make it less daunting and review the most common grammatical issues.
Who: Bestselling author Derek Taylor Kent
When: 1:30 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Author Learning Center
Thu, April 30 - How Campuses Are Facilitating Change Regarding AI
What: This webinar highlights the plans, strategies, obstacles, innovations, and lessons learned as teams worked toward the AI goals they developed for their campuses. Attendees of this webinar will gain insights to the goals teams set, the approaches they used to pursue curricular and pedagogical reform, and the strategies they implemented for faculty development, AI policy formations, and campus-wide AI rollout. Participants will also learn about the future directions these colleges and universities are planning as they continue their AI journeys.
Who: Kiran Budhrani, Director of Teaching and Learning Innovation in the Center for Teaching and Learning, University of North Carolina at Charlotte; George (Guy) McHendry Jr., Timms Endowed Professor and Director of the Magis Core Curriculum, Creighton University; Desiah Melby, Communication Instructor Mid-State, Technical College; Berta Rios, Chief Academic Officer, Albizu University; David Slade, Provost Berry College; Michelle Schmidt, Associate Provost for Faculty Affairs, Gettysburg College; Caleb J. Keith, Assistant Vice President for Digital Initiatives, AAC&U.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: American Association of Colleges and Universities
Thu, April 30 - Turning the Page: Libraries Innovating in AI, Connectivity & Digital Equity
What: This session will highlight practical approaches to integrating emerging AI technologies, expanding access to reliable internet, including in highly rural and underserved areas, and building sustainable digital inclusion initiatives. Attendees will gain insight into how institutions are translating strategy into action, leveraging partnerships, funding, and innovative program design to meet the growing needs of their communities.
Who: Kieran Hixon, Rural and Small Library Senior Consultant, Colorado State Library; AJ Middleton, Senior Vice President of Impact, Human-I-T; Chris Jowaisas, Senior Research Scientist, University of Washington Information School; Alex Kelly Berman, Chief Program Officer, Cortico; Mark Colwell, Executive Director, Mission Telecom
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Mission Telecom and Library Journal
Thu, April 30 - Steal my Workflow: Up your Video Journalism Game
What: Join us for a big picture conversation as our guest takes us through what he’s learned while overseeing video at some of today’s biggest social-first platforms — and now in creator-journalism. Jon will dig into producing across platforms, transitioning video workflow and formats from traditional legacy media to hosted for YouTube/Social platforms, hooks that work, posting strategies, workflow tips, and more.
Who: NewPress VP Jon Laurence.
When: 4 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Video Consortium
Fri, May 1 - AI: Threats and Opportunities
What: A look at how artificial intelligence is being applied by FOIA requesters and agencies to improve the process, and the unintended consequences of the implementation of AI.
Who: Adam Marshall, Reporters Committee for Freedom of the Press Carl Roller, U.S. Food and Drug Administration; Brian Thompson, Relativity, formerly Environmental Protection Agency; Liz Wagenseller, Pennsylvania Office of Open Record.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Sunlight Research Desk
Fri, May 1 - Managing Risk When Working with Orphaned Film and Video
What: Is there a way to manage risk when working with orphaned film elements? What is due diligence in law and in practice? Join a panel of experts to unpack these issues.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Open Copyright Education Advisory Network
Choosing Evil
/No man chooses evil because it is evil; he only mistakes it for happiness, the good he seeks. -Mary Wollstonecraft
Judging Ourselves
/We judge ourselves by our intentions and others by their behavior. -Stephen Covey
A Force Multiplier
/"Imagine AI as a force multiplier. It will genuinely improve the writing quality and speed of a mediocre student. But that writing will still be below average because the mediocre student cannot recognise the gap between what AI gave them and what excellent output actually looks like. AI amplifies what you bring to it." - Times Higher Ed
What Teachers should Do about AI
/1. Learn about generative AI dangers related to biases, privacy concerns, and the impact of AI on vulnerable students. Consider how chatting with AI systems affect vulnerable students, including those with depression, anxiety, and other mental health challenges. (handout: Dangers of AI)
2. Experiment with AI to see if it can enhance your teaching methods and plans. Consider how AI could be ethically used in education and where you draw the line in how you use it to do your work.
3. Talk with students about your expectations regarding the use of generative AI in class. College faculty should include a syllabus statement offering clear guidance regarding expectations for the use of generative AI in the classroom and have open and frank discussions with students about the expectations regarding its use. (handout: AI use cases)
4. Explain to students what counts as AI-enabled plagiarism and when its use is appropriate, especially considering that it is being integrated into many commonly used tools (meaning a blanket ban on its use is nearly impossible). Consider that the answer to this question will change depending on the assignment, the subject, and the learning outcomes.
5. Avoid depending on AI detectors due to their limitations (false positives and legal issues). Rather than focusing on catching cheaters, faculty should focus on developing new pedagogy to address the evolving technology (similar to the rise of the internet).
6. Get students to wrestle with it along with you.
7. Help students learn to fact check AI-generated writing outputs. They need a healthy skepticism.
8. Talk about AI transparency, providing examples.
9. Develop pedagogical options for controlling the use of AI: Pen & paper, Blue Books, oral exams, in-class presentations, the use of Google Docs or other writing tools that track writing history, personalization, concept-mapping, scaffolding assignments, etc. Decide what are the cognitive tasks that students need to perform without AI assistance.
10. Develop new rubrics and assignment descriptions taking generative AI into account. Some assignments should be AI-free by design. Others should actively engage AI, teaching students to evaluate, direct and improve its outputs.
11. Learn AI & double down on what makes you human. It’s never all one-sided. Avoid extreme positions of all-in or all-out Go down both roads. Learn how to use it skeptically—what it can do and its limits, knowing this an ongoing chore. Double down on what makes you human. Focus resources on the other side of the equation—that is, helping students set themselves apart from simply being good at using AI to developing the skills that will become rare and valuable because of AI limitations (including communication, creativity, and flexibility). Help students develop a healthy and ethical use of generative AI as you do this yourself.
12. Prepare students for their careers. They will enter a world where AI usage is expected. Keep in mind that this expectation is that AI will allow employees to do more work faster.
Dead Fish
/Never forget that only dead fish swim with the stream -Malcolm Muggeridge
A tool that enhances your ideas
/As a society, we need to broadly recognize LLMs as intellectual engines without drivers, which unlocks their true potential as digital tools. When you stop seeing an LLM as a “person” that does work for you and start viewing it as a tool that enhances your own ideas, you can craft prompts to direct the engine’s processing power, iterate to amplify its ability to make useful connections, and explore multiple perspectives in different chat sessions rather than accepting one fictional narrator’s view as authoritative. You are providing direction to a connection machine—not consulting an oracle with its own agenda. -Benj Edwards writing in ArsTechnica
AI Definitions: Causal AI
/Causal AI – The application of causal inference principles to AI to uncover connections between data points. The goal is to find cause-and-effect relationships. Causal AI uses methods like A/B testing to gauge the impact of changes in user behavior by manipulating specific factors. The result is more precise insights for decision-making, especially when real-time forecasting is needed. In contrast, predictive AI is focused on finding patterns, considering, for instance, users' preferences based on past behavior and user characteristics. Predictive AI finds correlations and trends, but it doesn’t get at the “why” of results.
25 Recent Articles about the Impact of AI on Health Care
/The medical AI revolution requires rethinking health care’s architecture – Stat
Should you really trust health advice from an AI chatbot? – BBC
AI Startup Has Helped Reverse Thousands of Denied Health Insurance Claims - Bloomberg
The Algorithm Will See You Now Viz.ai saves critical time in stroke care and helps catch other diseases earlier. – Wall Street Journal
Dozens of AI disease-prediction models were trained on dubious data – Nature
An ‘AI doctor’? An experiment in Utah raises urgent questions. – Washington Pos
The ChatGPT Symptom Spiral Be careful asking chatbots about your health. – The Atlanti
Doctors Couldn’t Help Them. They Rolled the Dice With A.I. – New York Times
Why so many Americans are using AI for health guidance – PBS
How to create “humble” AI – MIT
Health AI and the law: Could your chatbot doc testify against you? - Mashable
An Amish Avatar and an A.I. Monk Are Pitching Supplements on Social Media - New York Times
In 5 Doctors Now Use AI In Their Practices, AMA Survey Says – Forbes
Microsoft’s New AI Health Tool Can Read Your Medical Records and Give Advice – Wall Street Journal
Making a 'digital twin' of yourself could revolutionize future surgeries, making medical procedures much more personal – Live Science
I’m a doctor. Here’s what opened my mind about the future of medical care. - Washington Post
AI's big biosecurity blind spot - Axios
How doctors use AI scribes to cut paperwork and focus on patients – Scientific American
Deepfake X-rays are so real even doctors can’t tell the difference – Science Daily
How AI is transforming health care and what it means for the future – CBS News
A.I. Chatbots Want Your Health Records. Tread Carefully. – New York Times
The AI push in health care is deepening medicine’s trust crisis – Stat
AI ethics in Catholic health – Boston College
Doctors Couldn’t Help Them. They Rolled the Dice With A.I. – New York Times
Intelligence and Personality can be Developed
/A “fixed mindset” assumes that our character, intelligence, and creative ability are static givens which we can’t change in any meaningful way, and success is the affirmation of that inherent intelligence, an assessment of how those givens measure up against an equally fixed standard; striving for success and avoiding failure at all costs become a way of maintaining the sense of being smart or skilled.
A “growth mindset,” on the other hand, thrives on challenge and sees failure not as evidence of unintelligence but as a heartening springboard for growth and for stretching our existing abilities. Out of these two mindsets, which we manifest from a very early age, springs a great deal of our behavior, our relationship with success and failure in both professional and personal contexts, and ultimately our capacity for happiness.
The “growth mindset” creates a passion for learning rather than a hunger for approval. Its hallmark is the conviction that human qualities like intelligence and creativity, and even relational capacities like love and friendship, can be cultivated through effort and deliberate practice. Not only are people with this mindset not discouraged by failure, but they don’t actually see themselves as failing in those situations — they see themselves as learning.
Maria Popova writing in BrainPickings
The New Workflow Means New Job Interview Questions
/A data scientist at a software company said he and his co-workers used to have to write code for every new feature. Now they just come up with the idea and the A.I. writes the code and runs the analysis. His company’s interview process, which was once dominated by questions about coding and rewarded socially awkward nerds, now focuses on whether job candidates can identify good ideas and seem capable of persuading colleagues to back them, he said. -New York Times
AI definitions: Algorithms
/Algorithms - Direct, specific instructions for computers created by a human through coding that tell the computer how to perform a task. Like a cooking recipe, this set of rules has a finite number of steps. More specifically, it is code that 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.
Before I Die
/My life would be complete if, before I die, I…
18 Articles about how AI is Affecting Jobs
/The overlooked way AI could speed hiring and support workers - Washington Post
How ‘Jagged Intelligence’ Can Reframe the A.I. Debate – New York Times
What "Jagged Intelligence" Could Mean for STEM Careers - Techoly
That Meeting You Hate May Keep A.I. From Stealing Your Job – New York Times
New AI jobs risk paper posits less doom and gloom - Axios
ProPublica journalists walk off the job in first U.S. newsroom strike over AI – Harvard’s Nieman Lab
The Workers Opting to Retire Instead of Taking On AI – Wall Street Journal
MIT study challenges AI job apocalypse narrative – Axios
Take my job, AI! - Jeff Zych
What to do if your employer is requiring you to use AI – Fast Company
Women are getting less recognition than men for using AI - Axios
How AI Damages Work Relationships—and Where It Can Actually Help – Harvard Business Review
Why Gen Z wants more office work - Axios
New AI tool predicts cancer spread with surprising accuracy – Science Daily
Why You Should Stop Worrying About AI Taking Data Science Jobs – Toward Data Science
The AI employment dilemma that impacts every worker – Axios (video)
Imagine Losing Your Job to the Mere Possibility of AI - The Atlantic
Jobs least and most vulnerable to AI – Washington Post
This is the fastest-growing job for young workers, LinkedIn says – CBDS News
AI Job Loss Research Ignores How AI Is Utterly Destroying the Internet – 404 Media
Generative AI changes how employees spend their time – MiT
Job Cuts Driven by A.I. Are Rising on Wall Street - New York Times
AI definitions: AI Washing
/AI Washing - This references a company’s misleading claims about its use of AI. It’s a marketing tactic that exaggerates the amount of AI technology used in their products to appear more advanced than they actually are. AI washing takes its name from greenwashing, where companies make false or misleading claims about the positive impact they have on the environment. The SEC has leveled fraud charges against companies for misleading investors about their use of AI.
Skills Atrophy
/The risk of skills atrophy is very real. People of my generation who had to learn to do things the hard way are benefiting the most from these tools. If you’re a grad student now and you’re trying to decide whether to read your data-methods textbook or just ask ChatGPT to run this regression for you, that’s a very tempting thing. - Alexander Kustov, a political scientist at the University of Notre Dame in the Chronicle of Higher Ed
You Complete Me
/One of the most memorable scenes in the movie Jerry Maguire climaxes with the main character telling his estranged wife, “You complete me.” Many people understand the line to mean "I'm not a whole person without you." As if a person is like a machine missing a critical part until the "right one' comes along. But you could also hear it as a statement of realization that "I finally see how we fit together." Like pieces of a jigsaw puzzle. Or better yet, like two great works of art. The paintings, sculptures or rugs are beautiful on their own, yet woven together they create a new, compelling and intricate tapestry of vibrant colors.
Stephen Goforth
27 Recent Articles about AI & Academic Scholarship
/Where Does Publishing’s A.I. Problem Leave Authors and Readers? – New York Times
Dozens of AI disease-prediction models were trained on dubious data – Nature
Frontiers issues AI guidance spanning full publishing lifecycle – Research Information
Tackle ‘AI slop’ in education research ‘or lose teacher trust’ – Times Higher Ed
Plagiarised research passed automated tests, and I detected it – but only because it copied my work – Conversation
If a Large Language Model can replicate your scientific contribution, the problem is not the LLM – Nature
Bloodhound code sniffs out copied-and-pasted numerical data – Retraction Watch
Scientists Invented a Fake Disease Caused by Blue Light—Now It's in Medical Papers - Inc
AI Is a Better Researcher Than You That claim got a political scientist denounced. Is it true? – Chronicle of Higher Ed
Cite unseen: when AI hallucinates scientific articles- Science.org
Hallucinated citations are polluting the scientific literature. What can be done? - Nature
Anonymisation in research must be overhauled for AI era – Research Professional News
What is p hacking, is it bad, and can you get AI to do it for you? – Towards Data Science
Policies Permitting LLM Use for Polishing Peer Reviews Are Currently Not Enforceable – ArXiv
A citation alert led researchers to a network of fake articles. But who is benefiting? – Retraction Watch
More AI will not beat the Red Queen - Wonkhe
STM Plants a Flag About Responsible Use of Research Content in GenAI – Scholarly Kitchen
Prompt injection in manuscripts: exploiting loopholes or crossing ethical lines? – Springer
Seeing Is Believing? Scientific Misconduct and the Detection of Problematic Images – International Anesthesia Research Society
How to build an AI scientist: first peer-reviewed paper spills the secrets - Nature
Major conference catches illicit AI use — and rejects hundreds of papers - Nature
An AI-authored paper just passed peer review. The scientific community isn’t ready – Scientific American
Wikipedia Bans AI-Generated Content – 404 Media
The European Research Council sets out firm line on use of AI in peer review – Research Professional News
AI models fail to accurately pick out which social science studies could be replicated - OSF
Restoring Trust in Science: Storytelling, AI, and Integrity in Scholarly Publishing – ISMPP (webinar recording)
AI Definitions: Temperature
/Temperature - A setting within some generative AI models that determines the randomness of the output. Temperature helps balance the model’s outputs between predictability and creativity. The higher the temperature, more creativity is produced along with more randomness and hallucinations. The lower the setting, the more predictability—but with less creativity.