HeyJaredWomen Writin' 'Bout AI
We're Jessica and Kimberly: an entrepreneur and a linguist. We study how AI reshapes meaning in the world. We critically examine AI and ask who it benefits.
- Indexed issues, last 90 days
- 9
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- Sep 9, 2026
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- Jul 8, 2026
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Too Big to Not Be Held Responsible: AI Deepfakes, Congress, and the Question of Whose Job This Is (opens the original)
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Allyson Kapin joined Kimberly to discuss how people are more worried about AI being used to sexually exploit women and children than they are about AI taking their jobs. But apparently Congress hasn’t caught up. A bill that would give victims of nonconsensual sexual deepfakes the right to sue the people who make them passed the Senate unanimously in January 2026 and has been sitting in the House Judiciary Committee ever since. Kapin, founder of Women Who Tech, and a founding partner at the W Fun
What Is AI Governance? A Plain-Language Guide (opens the original)
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We’re on a short break from new episodes, so this week we re-released our conversation with Clara Hawking, a computer scientist, philosopher, and AI governance expert. It’s aged well. On August 2, 2026, EU authorities began enforcing major provisions of the EU AI Act, including new transparency requirements—though some high-risk-system rules remain <a href="https://digital-strategy.ec.europa.eu/en/news/commission-starts-enforcing-a
How Do AI Chatbots Change Truth, Trust, and Scientific Communication? (opens the original)
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In this episode of Women Talkin’ ’Bout AI, Jessica returns and she and Kimberly discuss Megan Garber’s Screen People: How We Entertained Ourselves into a State of Emergency. This article was written by me (Kimberly), but I did use ChatGPT Pro on “High Thinking Effort” to explore the transcript of the show and easily find areas where I wanted to riff on or emphasize certain sections. Jessica and I spent much of the convo talking about the concept of an intermediary (we just published an <a href="
A Recommendation Is Not a List (opens the original)
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People keep describing AI-generated writing as “hollow,” which I agree with, but what about it, exactly, is hollow?It certainly isn’t a lack of words. If anything, generated text tends to give us more explanations, more examples, more options, more context, more helpful little headings organizing all that helpfulness.Let’s take book recommendations.On a recent episode, my friend and fellow linguist Roz Hirch and I did a little mini analysis comparing human and AI-generated book recommendations.
She asked two chatbots and a dozen friends the same question. (opens the original)
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Roz Hirch and I went to graduate school together at Iowa State, in applied linguistics and technology. Now whe teaches linguistics and academic writing at a college in Medicine Hat, Alberta, but her PhD specialty is language assessment, and we have spent the years since school texting each other very long messages about language, tech, culture, and art (sometimes baking and scifi).This summer she could not find work and I am working outside of my field for my day job, so we often discuss things
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