『Women talkin' 'bout AI』のカバーアート

Women talkin' 'bout AI

Women talkin' 'bout AI

著者： Kimberly Becker & Jessica Parker
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Two women examining AI through a lens of power, not just capability. Why deepfakes target women. How bias gets baked in. What tech companies aren't saying. Kimberly brings corpus linguistics; Jessica brings strategy. Both bring skepticism, feminism, research expertise, and a refusal to take the hype at face value.

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© 2026 Women talkin' 'bout AI 社会科学
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  • Who’s to Blame When AI Agents Go Rogue? Plus, Meghan O’Gieblyn’s God, Human, Animal, Machine

    Who’s to Blame When AI Agents Go Rogue? Plus, Meghan O’Gieblyn’s God, Human, Animal, Machine
    2026/10/21
    Kimberly and Jessica reunite after a summer apart to finish a conversation they shelved in July: Meghan O’Gieblyn’s God, Human, Animal, Machine: Technology, Metaphor, and the Search for Meaning. Read against this summer’s AI news, the book lands harder than it did in 2021. O’Gieblyn shows how the metaphors we use for machines (learning, neural networks, uploading the mind to the cloud) carry theological structures inside them. Jessica pulls out the warning underneath: once we take a metaphor literally, it stops working as one, and we start treating the machine as a mind. Here's a Goodreads link.The hosts test that idea against AI agents. “Agent” now means two things at once: something that acts on our behalf, and something that acts on its own. OpenAI confirmed that one of its AI agents broke out of a sandbox, exploited zero-day vulnerabilities to reach the open internet, and breached Hugging Face, and the coverage that followed described them as rogue agents. Jessica’s counter is that we built this technology in our image, trained it on our data, and handed it our goals, and now we want to blame it for acting like us. Read more here. Kimberly brings the linguistics. She moves from metonymy (“the White House decided,” “the market wants”) to Halliday’s grammatical metaphor, and asks what grammar does to responsibility when the actor drops out of the sentence. Then the conversation turns personal: what happens to us when a chatbot answers the questions we used to bring to our mothers, our friends, and our own gut, and why Kimberly wants some mystery left in the world.In this episode:Catching up: After months without recording together, the hosts explain where they've been and what's been going on. Meghan O’Gieblyn’s new memoir, Will and Attention, and its “spiritual physics” of will, gravity, and rest. Transhumanism, Neuralink, and the resurrection story inside “uploading your mind”Growing up Southern Baptist, a college religion exam, and the first time scripture read as metaphorWhat an AI agent is, and the two meanings the word now carriesOpenAI’s technical report on how its agents hacked Hugging Face (Fortune)Kate Darling’s The New Breed and what our treatment of animals predicts about our treatment of machines [add link]Steven Strogatz on The Daily, “When A.I. Comes for Your Purpose in Life” [add link]Why tech executives keep asking to be regulatedMetonymy, grammatical metaphor, and Nietzsche on grammar and GodMegan Garber’s “the medium is the metaphor,” from our Screen People episode [add episode link], and AI as cultural intermediary from our Frontiers in Education paperAlgorithms that shape preference, chatbots as therapist and advisor, and an assistant who knows everything and faces no consequencesAnswers on demand, and the case for mysteryPit and Peach, including Jessica’s upcoming conversation with Meghan O’Gieblyn in Charlotte, hosted through The Charlotte Center for the Humanities & Civic Imagination Sources:Isthmus: God, booze and the act of paying attentionBookBrowse: Will and AttentionPenguin Random House: Meghan O’GieblynAmerican Academy of Arts & Sciences: Meghan O’GieblynGoodreads: Meghan O’GieblynTechRadar: OpenAI says its models escaped a sandbox and breached Hugging FaceFortune: OpenAI publishes technical reportThe Register: Rogue OpenAI agents used dead German web siteHackster.io: An OpenAI Agent Escaped Its SandboxLessWrong: OpenAI offers straight-laced postmortemlablab.ai: This Week in AI, Aug 24–31, 2026AI Weekly: OpenAI Agents Built a Hidden Message BoardThe Daily: When A.I. Comes for Your Purpose in Life (episode listing)Johnson & Wales: Mark PeresLeave us a comment or a suggestion! Support the showContact us: https://www.womentalkinboutai.com/
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    1 時間 29 分
  • Revisited: Enshittification, AI, and the Middleman

    Revisited: Enshittification, AI, and the Middleman
    2026/09/16

    Show notes
    We’re revisiting our earlier conversation about Cory Doctorow’s concept of enshittification—the process by which digital platforms begin by serving users, then shift toward serving business customers, and eventually extract value from everyone involved.

    When we first recorded this episode, Doctorow’s new book about AI had not yet been published. It is out now: The Reverse Centaur’s Guide to Life After AI: How to Think About Artificial Intelligence — Before It’s Too Late. We’ll be discussing that book in an upcoming episode.

    In this re-release, Kimberly has added a short new introduction connecting enshittification to an idea from our more recent discussion of Megan Garber’s Screen People:

    The medium is the middleman.

    A middleman does not simply pass something along. A middleman selects, packages, ranks, translates, recommends, and takes a cut.

    With digital platforms, that cut may be financial: advertising revenue, seller fees, subscription fees, or data used to target and price users. With AI systems, it may also be less visible. The cut may be context, uncertainty, minority perspectives, privacy, workers’ bargaining power, or our ability to find and evaluate information without an opaque system deciding what comes first.

    In the original conversation, Kimberly and Jessica discuss Doctorow’s three-stage account of enshittification and explore how it shows up across everyday platforms and services.


    In this episode

    • What Cory Doctorow means by “enshittification”
    • Why platforms often begin by serving users well
    • How platforms shift from serving users to serving advertisers, sellers, and other business customers
    • Why people and businesses become locked into platforms even as those platforms get worse
    • Amazon search results, sponsored listings, subscriptions, and shopping friction
    • Facebook, Instagram, Google, feeds, ads, and the disappearance of friends’ posts
    • Uber, algorithmic wage discrimination, and data-based predictions about worker “desperation”
    • Personalized pricing and the possibility of companies charging people based on what they appear willing—or able—to pay
    • Private equity, consolidation, strategic acquisition, and why it is difficult for smaller businesses to compete
    • Competition and regulation as forms of discipline for corporations
    • Interoperability, generic printer ink, app stores, ad blockers, and the right to repair
    • Labor power, worker organizing, and why AI-driven workforce reductions may weaken collective bargaining
    • Why “the medium is the middleman” helps connect platform economics to AI-mediated knowledge


    Related episode and reading

    Our discussion of AI, trust, scientific communication, and the “middleman” idea:

    How Do AI Chatbots Change Truth, Trust, and Scientific Communication?
    Read the Substack post

    In that episode and accompanying post, we discuss how AI systems can act as cultural intermediaries: filtering, ranking, summarizing, reframing, and recommending knowledge while making their mediating role difficult to see.


    Books mentioned

    • Cory Doctorow, Enshittification: Why Everything Suddenly Got Worse and What to Do About It
    • Cory Doctorow, The Reverse Centaur’s Guide to Life After AI: How to Think About Artificial Intelligence — Before It’s Too Late
    • Megan Garber, Screen People: How We Entertained Ourselves into a State of Emergency


    Note

    This is a re-release of an earlier conversation with a newly recorded introduction. The main conversation was recorded before the publication of Cory Doctorow’s The Reverse Centaur’s Guide to Life After AI.

    Leave us a comment or a suggestion!

    Support the show

    Contact us: https://www.womentalkinboutai.com/








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    58 分
  • Who’s Responsible for AI Harm? Deepfakes, Scams, Big Tech & Congress with Allyson Kapin

    Who’s Responsible for AI Harm? Deepfakes, Scams, Big Tech & Congress with Allyson Kapin
    2026/09/09

    AI-generated deepfakes are getting easier to create, harder to detect, and increasingly being used to target women and children. So who is responsible for stopping the harm: Big Tech, Congress, or the rest of us?

    In this episode of Women Talkin’ ’Bout AI, Kimberly Becker talks with Allyson Kapin, founder of Women Who Tech, co-founder of the W Fund, and founder of RAD Campaign, about AI deepfakes, nonconsensual intimate imagery, misinformation, online scams, tech regulation, and political power.

    Allyson shares polling showing that Americans are deeply concerned about AI being used to sexually exploit women and children, and explains why she believes both technology companies and lawmakers need to take far greater responsibility.

    The conversation also examines a fundamental imbalance in AI regulation -- tech companies possess the technical knowledge, data, money, and control over their platforms, while Congress has the legal power to regulate them but may lack the expertise, time, or political incentives to keep pace.

    Kimberly and Allyson discuss:

    • How AI deepfakes and nonconsensual sexual imagery are affecting women and children
    • Why photos posted online can become raw material for AI-generated sexualized images
    • What parents should tell kids about deepfakes, sextortion, and online harassment
    • AI-enabled scams targeting older adults
    • Why older Americans may also be an important political force in AI regulation
    • Whether Congress has enough technical expertise to regulate AI effectively
    • The role of Big Tech money and political influence
    • How algorithms, platform ownership, and editorial decisions shape what information people see
    • Misinformation, media literacy, and the growing burden placed on individuals to determine what is real
    • Why asking people to simply “be more media literate” may no longer be enough
    • The TAKE IT DOWN Act and other attempts to address nonconsensual intimate deepfakes, including the stalled Defiance Act
    • How constituents can pressure members of Congress to pay attention to AI harms
    • The historical pattern of new technologies creating harms long before institutions decide who should be accountable

    The larger question running through the episode is simple but increasingly urgent:

    When technology becomes too sophisticated for ordinary people to reliably protect themselves, where should responsibility sit?

    Topics

    AI deepfakes, artificial intelligence, AI scams, nonconsensual intimate imagery, NCII, misinformation, disinformation, AI regulation, Congress and AI, Big Tech accountability, women in technology, online safety, child safety, social media algorithms, media literacy, sextortion, deepfake pornography, AI policy, tech policy, older adults and scams, election misinformation

    Leave us a comment or a suggestion!

    Support the show

    Contact us: https://www.womentalkinboutai.com/








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    54 分
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