Ideas that challenge / comfort / inspire
Stephen Goforth
Recent empirical research suggests that AI search systems exhibit a measurable bias toward earned media. LLMs disproportionately retrieves information from journalistic sources, reputable trade publications and government data over brand content that lacks third-party validation or structured, factual framing. -Muckrack
What: This session brings structure to the process of keeping up with AI, helping you identify where AI fits and where it does not. Discover how to focus your efforts, apply AI to real challenges, and build a strategy that supports consistent, mission-driven work.
Who: Loree Lipstein, Founder and CEO, Thread Strategies; Sara LaCava Lieberman, Principle, Thread Strategies.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Bloomerang
What: The Academic AI Impact Study, based on in-depth interviews with library professionals across eight institutions, provides evidence on how AI is reshaping core library workflows. Join practitioners from the study as they share what changed in their day-to-day operations, why human oversight remains essential, and what library leaders should consider as they evaluate AI adoption in their own institutions.
Who: Melissa Gomis, Associate Professor of Practice, Chair, Collections Strategy & Open Scholarship, University Libraries at University of Nebraska-Lincoln; Adil Husain, Founder, The Intelligence Council and Managing Director, Emerging Strategy; Amit Niv, Head of Metadata and Process Management, Younes & Soraya Nazarian Library.
When: 11 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Library Journal
What: This session will help you understand where the tools stand today and how best to implement them into your presentation work. Research, structure, design, visuals, and rehearsal -- there are AI tools for all of these facets! Along the way, we’ll also look at where human judgment still matters most.
Who: Rick Altman Director, BetterPresenting.com.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Training Magazine Network
What: This webinar will provide attendees with practical knowledge on collaborative election monitoring, AI-assisted verification workflows, and newsroom coordination strategies.
Who: Nelly Kalu, multi-format broadcast and investigative journalist and Product and Innovation Manager at the Center for Collaborative Investigative Journalism.
When: 12 pm, Eastern
Where: Eventbrite
Cost: Free
Sponsor: Center for Cooperative Media
What: We'll cover the basics of data centers and finding information and sources for data center investigations.
Who: Erika Owens, Pulitzer Center; Laís Martins AI Fellow; Pablo Jiménez Arandia AI Fellow.
When: 12:30 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Pulitzer Center
What: Our panel will discuss what it takes to be successful when stepping out on your own. You’ll receive practical tips from seasoned freelancers on how to court clients, craft pitches and carry out the business aspects of operating as an independent journalist. Whether you’ve been freelancing for years or you’re new to independent writing, this session is for you.
Who: Mallika Mitra, business and financial freelance journalist; Chris Morris, contributing writer at Fast Company, Inc., Moneywise and AARP; Chris Taylor, personal finance journalist; Ellen Sheng, founder and principal, Sheng Media.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Society for Advancing Business Editing & Writing
What: The future of fundraising is not about reaching more people, but reaching the right people. This session explores how AI enables a more focused approach, prioritizing quality over quantity. Learn how nonprofits are reducing unnecessary contact while improving revenue and strengthening trust with their communities.
Who: Tim Paris, Co-founder and CEO, Dataro.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Bloomerang
What: Codex can help marketing teams turn scattered context into useful deliverables your team can review, refine, and share. Join us for a practical session on where Codex can fit into marketing workflows. We’ll focus on bringing context together, shaping useful outputs, and reviewing quality before anything gets shared.
Who: Diana Stegall, Customer Education, OpenAI; Lois Newman, Customer Enablement, OpenAI; Charmaine Pek, AI Deployment, OpenAI; Jen Beltran ,AI Deployment Manager, OpenAI.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: OpenAI Academy
Who: Marlene Harris-Taylor, American Press Institute
When: 4 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Center for Scholastic Journalism at Kent State University & and Trusting News
What: This interactive focus group will discuss the realities of AI for small businesses. We want to hear about your successes, your frustrations, and your hesitations. Your real-world feedback will directly influence future state economic initiatives and help us design the exact training, workshops, and resources small businesses need to navigate the evolving tech landscape.
Who: Brett Smith, Director, Lehigh University SBDC.
When: 11 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Lehigh University Small Business Development Center
What: Strategies and practical tips for working with officials to lower the fees for open records.
Who: Kimbriell Kelly, editor-in-chief of Chicago Public Media and VP for the Fund for Investigative Journalism.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: The Fund for Investigative Journalism
What: Become AI-literate in the concepts most immediately to impact your career so you can start the process of upskilling now and thrive in your career for years to come.
Who: Heather Mansfield, Founder of Nonprofit Tech for Good.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Nonprofit Tech for Good
What: Meena Das Founder, Namaste Data and the AI Equity Project
Who: Discover how to assess AI decisions through a values-driven lens and build practices that strengthen trust and guide smarter choices.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Bloomerang
What: We will examine why most AI initiatives stall after early adoption and what organizations must change internally to turn AI investment into real operational performance. We will share a clear framework for aligning AI initiatives with workforce readiness, role-based capability development and scalable execution. Attendees will leave with a stronger understanding of why AI strategies fail and what leading organizations are doing differently to close the gap between adoption and impact.
Who: LearnQuest managing director, Dimitri Schneiberg.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Training Industry
What: We will explore how a new generation of agentic AI is reshaping what’s possible for philanthropic organizations. Drawing on real‑world experience across analytics, fundraising strategy, and emerging AI capabilities, this session reframes personalization not as a manual effort, but as a scalable, outcome‑driven approach.
Who: Blackbaud experts Stephen Churchill and Carol Belair.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Blackbaud
What: We will discuss the legal obstacles journalists encounter when they try to obtain public records, how the attorneys of the Reporters Committee work with them to overcome those challenges, and how this affects your First Amendment Freedoms.
Who: Marisa Kabas, Independent Writer and Reporter; Adam Marshall, Director of National Litigation·Reporters Committee for Freedom of the Press.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Reporters Committee for Freedom of the Press
What: Marketing your newsroom’s work is essential to securing support, building audiences, and advancing your mission. We will help participants strengthen their elevator pitch, identify barriers to self-promotion, and find the words that clearly communicate the uniqueness and fundability of their work.
Who: Ken Schneck, Editor of The Buckeye Flame.
When: 3 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: New England Newspaper & Press Association
What: This session will describe how Generative AI has been used in the mathematics teacher education in Singapore, and a glimpse into the use of Gen AI in school mathematics classroom. More importantly, he will also present an alternative paradigm of using Gen AI embedding into the problem-solving mathematics curriculum.
Who: Tin Lam TOH, Associate Professor, National Institute of Education, Nanyang Technological University, Singapore.
When: 8 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: The National Academy of Sciences
What: In this session, we'll talk about the different ways Google is presenting content, and how you can make sure your pages get found. We'll cover keyword research, linking best practices, and coverage tips to help you stand out from the competition.
Who: Tyson Bird is the Editorial Product Manager at American City Business Journals.
When: 2 pm, Eastern
Where: Zoom
Cost: $35
Sponsor: Online Media Campus
What: An exploration of the key findings from the 2026 edition of the Reuters Institute’s Digital News Report and the implications for publishers.
Who: Jim Egan, Senior Research Associate, Reuters Institute; Kevin Anderson, Director, Digital Revenue Network, WAN-IFRA London.
When: 8 am, Eastern
Where: Zoom
Cost: Free to World Association of News Publishers members
Sponsor: World Association of News Publishers
The reason most people never reach their goals is that they don't define them, learn about them, or even seriously consider them as believable or achievable. – Denis Waitley
My father didn't tell me how to live; he lived, and let me watch him do it. -Clarence Buddinton Kelland
Probably the best thing to do with your last words is to say goodbye to the people you love and not to talk about yourself. -Martha Nussbaum
What are your values, goals, weaknesses?
What don't you like to do?
What work environment do you NOT like?
What's your passion for life and career?
Describe yourself.
Take deep breaths.
Remember, they want to find the right person; They want you to do well.
Listen, eye contact, sit up straight, enthusiasm, confidence (sound authoritative).
1. Behavior-specific skills (ex: “Tell me about a time where…”).
2. Case-specific problems (ex: “Here is a business case for you to work through.”).
3. Stress (more than one interviewer firing questions, i.e., let's see how you do under stress).
Where do you see the company in the next 5 years?
How would you describe the atmosphere here? (formal or informal, etc)
How does the company support work-life balance?
Are things handled differently for in-office and hybrid workers?
How does the company determine salary levels?
What was the reason last person left? How long was she in that position?
Why is this position available?
How far along in the interview process am I?
Have there been any changes in the company I should know about—such as layoffs or changes in leadership?
What did you like about the last person in this position?
How many times has it turned over in the last 5 years? (if a lot, ask why)
Who do I report to? Who would work under me?
What are my responsibilities?
Describe a typical day.
Do you have a written job description (get a copy)
What is the potential for promotion?
What is the greatest challenge I will face?
What problems might I face in the job?
How would you describe your management style?
How soon do you hope to make a decision?
Can I take a tour of the facilities?
Do you have any hesitancy in hiring me?
Health benefits booklet?
holidays and vacations?
Do you have any “employee resource groups” (eg.)?
"Thank you for meeting with me."
Towards autonomous medical artificial intelligence agents – Nature
AI helped diagnose 18 children whose rare diseases had stumped doctors – NBC News
AI Is Taking Over Hospitals – The Atlantic
How AI is helping fight the latest Ebola outbreak - Semafor
Doctors Inject Human Subjects With First Vaccine Designed by AI – Futurism
AI Model Links Tumor Mutations to Treatment Response - UCSD
HHS Launches Crackdown Using AI to Detect Medicaid Fraud and Waste – Wall Street Journal
Wearables increasingly look to AI to predict health problems before they happen – Seattle Times
The Hantavirus Outbreak Is Resurrecting Covid-Era Misinformation Tactics – New York Times
How AI is making health care even less affordable – Axios
AI outperforms doctors in Harvard trial of emergency triage diagnoses – The Guardian
Your Doctor Is Using A.I. to Take Notes. What Could Go Wrong? – New York Times
Thinking of using a chatbot for medical advice? Read this first. – Washington Post
Therapists are using AI to take notes. Is it a useful tool or a breach of trust? – NPR
Artificial intelligence is being used in South Korea to make care calls to older adults who live alone and to fight dementia – New York Times
AI scamming ain’t brain surgery, but even neurosurgeons get fooled - The Hill
Doctors' growing AI deepfakes problem – Axios
How Stanford patients help expose ‘fault lines’ in health AI adoption – Stat
Have a Thorny Medical Question? Your Doctor May Be Using A.I. for That. - New York Times
The only people who see the whole picture are the ones who step outside the frame. -Salman Rushdie (born June 19, 1947)
In some cases, the very same companies selling AI detection tools are also making apps that allow students to cheat, including by writing papers for them or rephrasing text written by others. The head of education at the A.I. company that makes Grammarly calls the race between detection and evasion “ultimately, a dead end.” She urges educators to accept that most future writing would be produced in a partnership between artificial intelligence and human discernment. -New York Times
Natural Language Processing - This type of machine learning transfers language into numbers to make it intelligible to machines. The first step is tokenization, where text is divided into word units called tokens. These tokens are then transformed into vectors (lists of numbers). A single word token might be represented by more than 1,000 numbers in a vector. The vector is considered to have a higher dimension when many numbers are used. The meaning is therefore nuanced. A low dimension for a vector means the list of numbers is low. While a low dimension is not as nuanced, it is easier to work with. A deep learning model (typically a transformer model) can use these vectors to understand the meaning of words and determine how the words relate to one another. An example would be “king “relates to “man” while “queen” relates to “woman.”
When researchers presented a large language model with 72 simulated regulatory environments, the AI learned to exploit loopholes in everything from credit card rewards programs to school funding formulas, despite never being instructed to do so. The loopholes couldn’t be patched fast enough to keep up with the mischief. In more than 100 iterations of five scenarios, the model kept finding new exploits, each more subtle than the last. And existing safety mechanisms didn’t catch the rule-bending behavior. -Science.org
Elizabeth Stokoe, professor of social interaction at Loughborough University, and her colleagues, have analysed thousands of hours of recorded conversations, from customer services to mediation hotlines and police crisis negotiation. They discovered that certain words or phrases have the power to change the course of a conversation.
People who had already responded negatively when asked if they would like to attend mediation seemed to change their minds when the mediator used the phrase, “Would you be willing to come for a meeting?” “As soon as the word ‘willing’ was uttered, people would say: ‘Oh, yes, definitely’ – they would actually interrupt the sentence to agree.” Stokoe found it had the same effect in different settings: with business-to-business cold callers; with doctors trying to persuade people to go to a weight-loss class. She also looked at phrases such as “Would you like to” and “Would you be interested in”. “Sometimes they worked, but ‘willing’ was the one that got people to agree more rapidly and with more enthusiasm.”
Rosie Ifould writing in The Guardian
U.S.-based developers and small companies are turning to Chinese models to cut costs. Although Chinese models still lag behind the best American ones in performance, they can handle most tasks at a fraction of the price. -Rest of World
You Can Now Get a Religious Exemption From Using AI at Work – Futurism
AI stumbles on questions of faith – Axios
To Understand Pope Leo’s Efforts on A.I., Look at the Man Shaking His Hand - New York Times
The Vatican is racing to build digital defenses for the AI era - Axios
Can AI be a ‘child of God’? Inside Anthropic’s meeting with Christian leaders. – Washington Post
The Atheist and the Machine God - New York Times
AI stumbles on questions of faith – Axios
The Catholic Priest Who Helped Write Anthropic’s A.I. Ethics Code – Observer
Unitree robot becomes Japanese Buddhist monk “Buddharoid” – Cybernews
Does AI Have a Place in the Pulpit? – The Dispatch
AI Use Growing Among Christian Ministry Leaders - Ministry Watch
Vatican releases long-awaited document on AI and Transhumanism – omnes
From churches to chatbots: How AI is fusing with religion – Reuters
AI Agents Created Their Own Religion, Crustafarianism, On An Agent-Only Social Network – Forbes
Pope Leo warns of dangers of AI, emphasizes dignity of human faces, voices – Catholic Culture
It Makes Sense That People See A.I. as God – New York Times
Is Transhumanism the Future or Our Downfall? – Psychology Today
AI ethics in Catholic health – Boston College
Inside the unlikely Vatican-Anthropic relationship that's reshaping the AI ethics debate – Religious News Service
Don’t Want to Use AI at Work? Tell Your Boss It Goes Against Your Religion.- Vice
AI Only Responds to the Questions We Know to Ask – Christianity Today
› What do you know about our company?
Or, are you a consumer of our product?
The employer hopes to learn:
Did you prepare for this interview? Did you do your homework?
Be ready to offer specifics.
› Why should we consider you for this position?
Or, why do you think you are a good fit for this position?
The employer hopes to learn:
Are you confident in your abilities? What does the company gain by hiring you?
› What are your strengths and weaknesses?
The employer hopes to learn:
Companies expect honesty in answering this question. You should be able to articulate what you are best at and areas you are working to improve.
› What do you want to be doing 5 years from now?
The employer hopes to learn:
Are you goal-directed? Or will you be satisfied with an entry-level position?
› What other job experiences have you had?
The employer hopes to learn:
Have you held a job before? How long have you been working? Did you get along with others?
› What people have been important influences in your life?
The employer hopes to learn:
People who are quick to credit others often work well with others and are not driven by ego.
› Are you a self-starter?
The employer hopes to learn:
Can you work alone and without direct supervision? If you're not given a task, are you the type of person who takes the initiative to find something to do?
› What are your interests apart from work?
Or, what’s special about you? What do you bring to the job that will help you succeed?
The employer hopes to learn..
Hobbies, activities and other interests indicate that people are well-rounded and can manage their time and work. It’s an opportunity to sell yourself.
› Tell me about a problem you solved recently.
The employer hopes to learn:
Insight into your problem-solving skills.
› Tell me about a goal you recently achieved. What did your initial plan look like? What worked particularly well?
The employer hopes to learn:
Can you talk in detail about a goal you have achieved—where you created your own plan and not only followed those plans but also adapted to circumstances and changing conditions.
› Tell me about a goal you failed to achieve.
The employer hopes to learn:
If you take responsibility for failing without blaming other people or outside factors. Can you admit you were wrong and that you are willing to change your mind? This will also indicate whether you learned from your experience: can you describe in detail what perspectives, skills, and expertise you gained from that training?
› How do you handle stress?
In 2023, data centers directly consumed 66 billion liters of water. That number sounds alarming, until you realize that America’s golf courses used almost 2 trillion liters that same year. California’s almond farms use far more than that. At the national level, all data centers combined currently account for less than 0.5 percent of the country’s freshwater use. -The Atlantic
Movement is not necessarily progress. More important than your obligation to follow your conscience, or at least prior to it, is your obligation to form your conscience correctly. Nobody -- remember this -- neither Hitler, nor Lenin, nor any despot you could name, ever came forward with a proposal that read, "Now, let's create a really oppressive and evil society." Hitler said, let's take the means necessary to restore our national pride and civic order. And Lenin said, "Let's take the means necessary to assure a fair distribution of the goods of the world."
In short, it is your responsibility... not just to be zealous in the pursuit of your ideals, but to be sure that your ideals are the right ones. Not merely in their ends, but in their means. That is perhaps the hardest part of being a good human being: Good intentions are not enough. Being a good person begins with being a wise person, then when you follow your conscience, will you be headed in the right direction.
Supreme Court Justice Antonin Scalia
Commencement Address at Langley High School
June 17, 2010
Moravec’s Paradox - What is hard for humans is easy for machines, and what is easy for humans is hard for machines. For instance, a robot can play chess or hold an object still for hours on end with no problem. Tying a shoelace, catching a ball, or having a conversation is another matter. This is why AI excels at complex tasks like data analysis but also struggles with simple physical interactions, and why developing robots that are effective in the real world will take time and extraordinary technological advances. This paradox is attributed to Hans Moravec, an Austrian who worked at Carnegie Mellon.
When photography was developed in the 19th century, it replaced painting for most utilitarian purposes; a camera could document what things looked like more accurately and cheaply than a painter could. But the art of painting didn’t die out. On the contrary, it entered a golden age: Freed from the obligation of realism, painters developed radical new ways of seeing, such as Impressionism, Cubism, and abstract expressionism. Now AI has the potential to liberate literature in the same way. In a world full of emptily competent prose, we need writers daring, challenging, and obstinate enough to tell us what it’s like to be human, “from the inside.” - Adam Kirsch writing in The Atlantic
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