Unintended Consequences

Any idiot can build a system. Any amateur can make it perform. Professionals think about how a system will fail. It’s very common for people to think about how a system will work if it is used the way they imagine. But they don’t think about how that system might work if it were used by a bad actor or a perfectly ordinary person who is just a little different from what the person designing it is like.

Companies need to be thinking about how each product could actually be used in the real world. If you build a product that works great for men and is going to lead to harassment of women, you have a problem. If you build a product that makes everyone’s address books 5% more efficient and then gets three people killed because it gave their personal information to their stalkers, that’s a problem.

What you need is a very diverse working group that can recognize a wide range of problems, that knows which questions to ask and has support inside the company and in the broader community to surface these issues and make sure they are taken seriously. If they’re in there from day one, it makes a huge difference.

Former Google engineer Yonatan Zunger in an interview with NPR

19 Articles about AI & Politics

How A.I. Is Changing the Way Politicians Run for Office - New York Times

China Has Matched Anthropic in Cybersecurity, Resetting AI Race -Wall Street Journal   

Silicon Valley backed Trump to kill AI regulation, now the industry is begging for rules  - The Next Web

The semiconductor industry that has become a major choke point in the global contest for artificial intelligence leadership – New York Times 

Feds controlling ChatGPT access misreads AI threats – Washington Post  

Inside the White House's AI power center – Axios

Concern for study looking into whether conversations with AI could change viewpoints – Retraction Watch 

Are ChatGPT and other AI chatbots politically biased? We tested them. – Washington Post  

How does A.I. benefit the public? – New York Times 

An explosion of AI deepfakes is redefining American elections – Axios 

Big Subsidies for Google, Limited Water for Locals: The Dilemma of AI in India – Wall Street Journal   

China Wants A.I. to Flourish, but Not at the Expense of Jobs – New York Times

In the AI propaganda war, Iran is winning – The Economist

AI license plate cameras tore this town apart and led to a state of emergency – Washington Post

Why China Is So Much Less Scared of A.I. – New York Times

AI models are being used to predict conflict – The Economist  

AI is making it very easy for the government to spy on you. Some lawmakers are worried. – NBC News

In turf battle over AI, U.S. spy agencies vie for more sway than Commerce – Washington Post

Congress Is Doing Little to Prepare for Potential A.I. Job Losses – New York Times

China's Colleges React to AI

Chinese Universities are dropping programs in translation and foreign languages while adding degrees in embodied intelligence, AI, and robotics. In April, China’s Ministry of Education approved nine universities to begin enrolling students in “embodied intelligence” — the Chinese term for physical AI technologies such as autonomous machines and humanoid robots. -Rest of World

Deciding What to Build

Everyone got excited they can suddenly code, and completely missed the point. Here's the thing nobody wants to say out loud: deciding what to build has always been a bottleneck. It is a genuine waste of your one professional life to spend it building things nobody wants and nobody buys, in a system that won't let you get near the problem. Chase impact, not the salary ceiling. And if your job consistently has you shipping into the void, leave." - Kasper Junge

8 Webinars this week about AI, Journalism & Media

Tue, June 30 - Uncovering AI’s Human Cost: A Non Technical Toolkit for Investigative Reporters

What: Participants will be introduced to a framework that breaks down each development stage of AI into an area of coverage and learn about how they can find and report stories within each one. Students will walk away with methods and approaches on how to tackle their own AI accountability stories and learn from low-tech examples that yielded high impacts.

Who: Lam Thuy Vo, Pulitzer Center Grantee  

When: 10 am, Eastern

Where: Zoom

Cost: Free

Sponsor: Pulitzer Center

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Tue, June 30 - Who Gets to Crawl? Publisher control in the age of AI crawlers and agents

What: In this session, we will share what Cloudflare is seeing across the web, how AI crawler behavior is evolving, and what publishers can learn from the emerging infrastructure layer around bots, agents, protocols, and machine-readable rights.

Who: Sam Else, Senior Director Strategic Partnerships, Cloudflare; Ezra Eeman. Lead, AI in Media, WAN-IFRA; Kevin Anderson, Director of the Digital Revenue Network, WAN-IFRA.

When: 11 am, Eastern

Where: Zoom

Cost: Free

Sponsor: World Association of News Publishers

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Tue, June 30 - Operationalizing AI in Observability: From Debugging to Automated Remediation

What: We will walk through what operationalizing AI in observability actually looks like in practice, with real use case examples across each stage of the journey, from faster investigation to fully autonomous remediation.

Who: Alex Wilhelm, TNS Host; Vignesh Palaniappan, Senior Product Manager for Bits AI.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: The New Stack

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Tue, June 30 - How AI Makes the Best Leaders More Human (Not Less)

What: This webinar is about how they’re doing it, how you can do it (and support your leaders to do it too). This is a new way to think about AI – one not media-based, but reality and results driven.

Who: Kevin Eikenberry, Chief Potential Officer, The Kevin Eikenberry Group and co-founder of The Remote Leadership Institute.

When: 3 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Training Magazine Network

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Tue, June 30 - The ethics and law of creator-style journalism

Who: Lynn Walsh, Trusting News and Jonathan Gaston-Falk, Student Press Law Center.

When: 4 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Center for Scholastic Journalism at Kent State University & and Trusting News

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Wed, July 1 - Design for trust: Data storytelling in the age of AI

What: Learn how to stay in the driving seat as AI becomes part of your data workflow. Explore what it actually takes to build trust through data in an AI-driven world.

Who: Tey Bannerman, AI Strategy & Product Design Leader; Duncan Clark, Flourish CEO, Canva EMEA GM.

When: 11 am, Eastern

Where: Zoom

Cost: Free

Sponsor: Flourish

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Wed, July 1 - Beyond the Prompt: Moving from Conversation to Connected Workflows

What: We'll show how AI-assisted work is moving from conversation toward delegation. You’ll learn how to define a useful outcome, provide the right context, set constraints and quality standards, and keep human judgment in the loop.

Who: Juliann Igo, GTM, OpenAI; Diana Stegall, Customer Education, OpenAI.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: OpenAI Academy

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Thu, July 2 - Visual Journalism

What: We bring together three practitioners from three of the world's leading editorial environments to explore what this craft looks like from the inside — the process, the decisions, the constraints, and the possibilities.

Who: Irene de la Torre Arenas, Financial Times; Jonas Oesch, NZZ; Marco Hernandez, The New York Times.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: On Data And Design

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GEO Strategy

AI models do not view all content equally. They prioritize verified, third-party information over branded content marketing. To align with this reality, your GEO strategy must prioritize getting your spokespeople and data cited in the press. A single mention in a reputable trade journal often carries more weight in an LLM’s retrieval process than a dozen optimized blog posts on your own domain. -MuckRack

19 Recent Articles about AI & Journalism

Newspapers sue OpenAI, Microsoft for mass copyright infringement – Courthouse News

News sites are the new newspapers: People are abandoning them for social media – Harvard’s Nieman Lab  

NewsGuard launches first AI chatbot built to deliver trusted journalism only from reliable news websites – Editor & Publisher  

How to Run a News Company in the Age of Polarization and A.I. Slop – New York Times 

Meet the journalists training the AI models that might replace them – Reuters

How should news organizations label their AI use for audiences? New studies suggest some answers – Harvard’s Nieman Lab

AI in J-School: How Journalism Classes Are Adapting - GovTech

In a subscription experiment, about 350 readers of a Boston news outlet are paying for AI to sit through their town meetings for them - The Boston Globe  

Reuters and Time adopt bot-blocking whitelists to rein in AI crawlers – Digiday  

How AI citations have changed in the last 6 months: New insights from ‘What is AI Reading?’ – MuckRack

New York Times Publisher’s A.I. Warnings - New York Times 

The Economist has launched a dedicated ChatGPT app, the first of its kind by a major consumer news publication – Harvard’s Nieman Lab 

The AI fight brewing inside The New York Times – The Verge

Sports Illustrated Just Deleted Every Article by One of Its Writers After Accusation of AI Plagiarism – Futurism  

BBC World Service to launch new language offers in Hungarian and Romanian – BBC  

AI and the Future of Independent Journalism – Washington Monthly

Should journalism have an industry-wide ethics policy for covering artificial intelligence? – Objective Journalism   

The ethics of using AI in newsrooms: A work in progress – Seattle Times 

A.I., Journalism and the Uncertain Future of the Public Square - New York Times

The Flaw in AI Educational Tools

A tool designed to respond to questions and ask follow-ups can’t help a student who doesn’t engage or know what to ask. Many ed-tech tools flounder because they haven’t solved the challenge at the center of education: How do you motivate students to experience the discomfort of learning something new? An AI tutor may be able to deliver math problems that are perfectly calibrated to a student’s level. But it can’t make the student actually do the problems. -The Atlantic