Women talkin' 'bout AI

Kimberly Becker & Jessica Parker

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.Subscribe to our channel if you’re also interested in understanding AI behind the headlines. 

  1. 2d ago

    The Pope Joins the Chat that Women Were Already Having

    When Pope Leo XIV released Magnifica Humanitas, his landmark encyclical on AI and human dignity, it lit up LinkedIn, Substacks, and newsfeeds worldwide. Kimberly read it the morning it dropped. Jessica, whose complicated relationship with religious institutions runs deep, read it anyway. And both of us had the same reaction as Abi Awomosu's: women have been saying this, uncited.  In this episode, we explore the encyclical's arguments, like: technology is never neutralunchecked growth impoverishes rather than enrichestreating limitations as defects is a category error, and concentrated technocratic power may be beyond the reach of regulation. And we also name what's missing: the women, the scholars of color, and the critics who were making these exact arguments years before the Vatican caught up. We draw threads from the Pope's letter through late-stage capitalism, the bread-and-circus dynamics of the attention economy, and what Jolene Blais called AI's role as a "catabolic agent." We talk about certainty language, the death of expertise, and why scientists are trained to live with uncertainty (and why that training is increasingly under attack). We end up, somehow, at microplastics, frugal hedonism, egg freezing, and communes. It's that kind of episode. In this episode: What encyclicals are and why this one matters — even if you're not CatholicThe specific passages we highlighted and why they resonatedAbi Awomosu's critique: women have been saying this, uncited — and her piece "Vatican Washing: Why All the Tech Broligarchs' Roads Now Lead to Rome"The "Who Said It First" problem and why it's more complicated than it looksPosthumanism and transhumanism, and the Pope's sharp warning about treating some lives as less worthyData centers, extractive infrastructure, and colonial parallelsWhy scientists hedge (and why that's a feature, not a bug)Late-stage capitalism, the disintegration of community, and why collective action is harder when the technology driving us apart is the same technology we'd need to organize againstFrugal hedonism as a form of resistancePit & Peach: Kimberly's mom heads back to Mississippi (with a plan), and Jessica takes her first step toward freezing her eggsReferences & Links The encyclical: Magnifica Humanitas — Full text, Vatican.vaWhy is Anthropic helping launch the Pope's encyclical? — National Catholic Reporter (co-founder Chris Olah spoke at the Vatican presentation — yes, really)Scholarship & criticism: Abi Awomosu, "How Not to Use AI" — SubstackBender, Gebru et al., "On the Dangers of Stochastic Parrots" (2021) — the paper Timnit Gebru was fired from Google over; a preview of nearly every argument that followedTom Nichols, The Death of Expertise (2017)Books: Klara and the Sun — Kazuo IshiguroHe, She and It — Marge Piercy — feminist cyborg novel from 1991 that remains eerily prescient on AI, corporate power, and communityThe Art of Frugal Hedonism — Annie Raser-Rowland & Adam GrubbFrom our archives: WTBAI: "The Trojan Horse of AI" with Jolene Blais & Jon IppolitoOur paper in Frontiers in Education: AI as Cultural Intermediary Leave us a comment or a suggestion! Support the show Contact us: https://www.womentalkinboutai.com/

    54 min
  2. May 27

    AI Voice Cloning: Trust, Persuasion, and Who's at Risk

    When you call your bank, your doctor's office, or your financial planner, the voice that greets you may have been deliberately engineered to make you feel safe, calm, and compliant — and you almost certainly can't tell. Research shows people correctly identify synthetic voice only about 55% of the time. That's barely better than a coin flip. In this co-host deep dive, Kimberly and Jessica pull apart what "voice" actually is (pitch, pace, prosody, timbre, accent) and why those features matter for trust, persuasion, and power. Synthetic voice isn't new, but the technology has crossed a threshold because it now replicates the subtle features that signal warmth, authority, and credibility. That has obvious applications in healthcare and customer service. It also powers grandparent scams, deepfake executive impersonation, and sales pipelines designed to move you from skepticism to compliance before you notice what happened.  In this episode: What linguistics actually tells us about why we trust certain voices (and why politicians hire coaches to lower their pitch)The FTC's 2024 numbers on imposter scams — $700 million lost by people over 60 in one year, a 362% increase from 2020The Hong Kong finance worker who wired ~$25 million USD (HK$200 million) after a deepfake CFO appeared on a Zoom callElevenLabs, Speechify, and the companies building what they call "emotional operating systems" for AITrust vs. persuasion: when shared goals protect you — and when they don'tWhy older adults are the highest-risk population, and why detection tools aren't the solutionWhere regulation actually stands: New York's synthetic performer law (SB 7013), the EU AI Act, and what's still missingPractical questions to ask yourself — and the companies you interact withMentioned in this episode: Klara and the Sun by Kazuo IshiguroProject Hail Mary directed by Drew Goddard, starring Ryan Gosling (film, 2025)The Martian by Andy Weir"Walk my Walk" by Blanco Brown (the real human artist)"Walk my Walk" by Breaking Rust (the AI-generated version)Kimberly and Jessica's paper: "Defining and assessing AI literacy for researchers across the research lifecycle" in Frontiers in Education Leave us a comment or a suggestion! Support the show Contact us: https://www.womentalkinboutai.com/

    45 min
  3. May 20

    The Certainty Trap: Why the AI Future Isn't Already Written

    In this episode, we sit down with Dr. Julia Stamm, founder and CEO of She Shapes AI, to unpack "The Certainty Trap." The way tech leaders project inevitability about AI, and the way that projection strips the rest of us of our agency. Julia is a sociologist and has held senior roles at the European Commission and the G20.  We talk about why so many AI adoption strategies are measuring the wrong things, why employees are quietly doing more work since AI showed up rather than less, and why women founders keep getting penalized for running for-profit businesses while their male counterparts get celebrated for the same thing. Julia also shares why she believes the most powerful question any of us can ask right now is simply, who benefits from this story being told this way? Topics Covered The certainty trap and Julia's TEDx talk on reclaiming agency in the AI ageWhy the inevitability narrative is marketing, not prophecyThe for-profit double standard that women founders faceHow AI adoption is breaking the social fabric of organizationsWhy measuring adoption rates and time saved are the wrong metricsThe magic triangle behind She Shapes AI: female leadership, responsible AI, and social impactReal examples of women building AI for impact, including Rhiana Spring's Sophia chatbot for survivors of domestic violenceWhy employees are doing more work, not less, since AI arrivedThe loss of optimism about the future and what it means for how we talk about AIWhy seeking out alternative narratives matters, and where to find them Referenced in This Episode She Shapes AIJulia's TEDx talk: Beyond the Certainty TrapShe Shapes AI Global Awards 2025/26 finalistsRest of World, the nonprofit publication covering technology stories beyond the WestEmpire of AI by Karen HaoCory Doctorow on the TINA framework (there is no alternative)Ethan Mollick on the 3% of organizations using AI in the sweet spotJulia Stamm on LinkedInJulia Stamm on SubstackJulia's forthcoming personal website at juliastamm.com Leave us a comment or a suggestion! Leave us a comment or a suggestion! Support the show Contact us: https://www.womentalkinboutai.com/

    1h 3m
  4. May 13

    The AI Adoption Trap: Why Women's Hesitation Is Rational — and Who's Really Responsible for Fixing It

    We keep being told the problem is women's hesitation around AI, that we need to adopt faster, skill up, and get in the game. But what if the hesitation is the rational response? And what if the systems telling us to move faster are the same ones punishing us when we do? This week, Kimberly and Jessica talk with Nikki Meller, founder and CEO of CreduEd and DocuCred AI, a member of the Tech Council of Australia, and the founder of Women in AI Australia. Nikki brings a rare combination of on-the-ground organizing and firsthand experience as a female tech founder who has navigated investment rounds, built a development team, and made it to pitch week in San Francisco — all from a nursing background. The conversation centers on a problem that's structural, not individual: organizations hand employees an AI platform with no governance, no training plan, and no reassurance about job security, then interpret the resulting hesitation — which falls disproportionately on women — as a capability gap. Nikki makes the case that this hesitation is actually a form of due diligence, and that the "competence penalty" documented in recent research (AI-assisted work rated as less competent, with the penalty larger for women) reframes the whole "women are behind on AI" narrative as a trap rather than a failing. Topics covered: What the Harvard Business Review's coverage of the "competence penalty" research actually shows — and why it reframes women's AI hesitation as rational risk assessmentHow organizational culture creates the AI gender gap before policy ever enters the pictureAustralia's National AI Strategy: what it gets right, where it mentions women (spoiler: mostly in the context of abuse and safety risk, not leadership or capability), and what that omission signalsThe data aggregation problem: why lumping women, First Nations people, people with disability, and remote communities into a single "disadvantaged group" makes the research almost uselessWhy "the leaky pipeline" is the wrong frame — and what better language would look likeWhat governments and organizations would actually have to do for "innovation is inclusive" to become more than a taglineGuest: Nikki Meller is the founder and CEO of CreduEd and DocuCred, a member of the Tech Council of Australia, and the founder of Women in AI Australia. You can find her and the organization at womeninai.org.au and on LinkedIn.  Leave us a comment or a suggestion! Support the show Contact us: https://www.womentalkinboutai.com/

    28 min
  5. May 6

    Quantum Computing and AI (and Who Gets to Explain Things)

    In this episode, Jessica teaches Kimberly quantum computing — and we mean that literally. Starting from classical bits and working through superposition, Schrödinger's cat, the observer effect, and Google's Willow chip, Jessica builds a surprisingly intuitive explanation of what quantum computers actually do and why they matter for the future of AI. But the episode starts somewhere else, with the phone call Jessica made after we stopped recording, questioning whether she should have tried to explain something she isn't formally trained in. That moment opens a bigger conversation about why women hesitate to speak publicly in technical spaces — not because they lack knowledge, but because the social penalties for being visibly uncertain are higher. We cover: How classical computers work (bits, binary, the basics)What makes quantum computers fundamentally different (superposition, qubits, the observer effect)Schrödinger's cat — what it actually means and why a physicist would argue the cat is both dead and aliveThe double-slit experiment and why watching something changes what it isHow Google's Willow chip did in five minutes what would take a classical computer longer than the age of the universe — and why you should read that headline carefullyWhy quantum computers are kept colder than outer spaceThe three possible futures for quantum computing and what each would mean for everyday lifeThe connection to AI — why quantum could speed up model training and what that actually looks likeWho controls access to this technology, and why that question sounds familiarThe research on why women adopt new technologies more slowly — and what it has to do with self-silencing, impostor syndrome, and gendered penalties for public uncertaintyLinks Women, voice, and silence bell hooks — National Women’s History Museum: bell hooks bell hooks and feminism — Equal Rights Advocates: 10 rules: following bell hooks’ instructions for our movement Dana Crowley Jack — Harvard University Press: Silencing the Self Self-silencing summary — TIME: Self-Silencing Is Making Women Sick Tech adoption and impostor feelings Women and AI adoption gap — LeanIn.org: Women and AI: The Gender Gap in AI Adoption and Usage Women avoiding AI — Harvard Business School: Women Are Avoiding AI. Will Their Careers Suffer? Women in tech and imposter syndrome — IT Pro: Imposter syndrome is pushing women out of tech Quantum computing basics Quantum computing intro — QCS Hub: Introduction to quantum computing Schrödinger’s cat — Yale News: Doubling down on Schrödinger’s cat Leave us a comment or a suggestion! Support the show Contact us: https://www.womentalkinboutai.com/

    1h 4m
  6. Apr 29

    The Everything Machine and the Trillion-Dollar Bet

    What if the story we're being told about AI's inevitability is hiding something underneath? In this episode, Jessica and Kimberly sit down with George Kamide, anthropologist, community builder, and co-host of Bare Knuckles and Brass Tacks, to look past the headlines about the AI bubble and ask who actually has skin in the game. This is an episode about following the money, but it is also about following the questions. What is the outcome we actually want from this technology? And what happens to all of us when the people building it cannot answer that? Topics Covered Why the dot-com bubble is the wrong analogy for AI infrastructureHow special purpose vehicles and obfuscatory financing hide AI debtThe Magnificent Seven and concentration risk in the S&P 500Taiwan, TSMC, and the helium supply chain most people have never heard ofThe "everything machine" promise and why it cannot pay for itselfWhy an AI crash could starve the narrowly-focused applications that actually workThe labor reorganization problem and why generalists may winWhat chatbot tutors get wrong about teachingMythos, the open source ecosystem, and concentration of access to powerful toolsWhy we keep analogizing ourselves to whatever technology we just builtReferenced in This Episode George Kamide and Bare Knuckles and Brass TacksEd Zitron's reporting on AI infrastructure at Where's Your Ed At, including The Hater's Guide to the AI Bubble and AI Bubble 2027Paul Kedrosky's analysis at Honey, AI Capex is Eating the Economy, which compares the AI buildout to past infrastructure boomsDavid Shapiro's earlier appearance on the show, Beyond Work: Post-Labor EconomicsDeepLeaf, the Moroccan agritech company using AI to help small farmers detect crop diseaseThe MIT Antibiotics-AI Project that used deep learning to discover a new structural class of antibiotics against MRSAKhan Academy's Khanmigo and the recent reckoning with the limits of LLM-based tutoringRaffi Krikorian, CTO of Mozilla, and his New York Times op-ed It's the End of the Internet as We Know It on Mythos and open source accessMichael Pollan's new book A World Appears: A Journey into ConsciousnessLeave us a comment or a suggestion! Leave us a comment or a suggestion! Support the show Contact us: https://www.womentalkinboutai.com/

    1 hr
  7. Apr 22

    AI-Generated Deepfake Porn and the Fight for Accountability: It's About Power not Sex

    Episode Summary In this episode, Kimberly and Jessica dig into the rising crisis of AI-generated deepfake non-consensual intimate imagery (NCII), and why it's not really a technology story. It's a power story. From a class action lawsuit against Elon Musk's xAI/Grok to a history of technology being used to harm women dating back to the printing press, this conversation situates deepfake porn within a long pattern of systems failing to protect women and girls at scale. They discuss a New York Times op-ed about a lawsuit involving three Tennessee teenagers whose yearbook photos were used to generate sexually explicit images and what the outcome of that case could mean for tech accountability. They also cover what parents can do, why law enforcement is struggling to keep up, and where to turn if you or someone you know has been victimized. In this episode: What deepfakes are, and why "it's not real" doesn't reduce the harmThe xAI/Grok class action lawsuit and the co-creator legal argumentA quick history lesson: from the printing press to Facebook's origins as "FaceMash"Why the barrier to entry is the real game-changerWhat Elon Musk says about it — and why critics aren't buying itOpen-source models with no guardrailsThe Take It Down Act and state-level deepfake legislationResources for victims and what watermarking can and can't doWhy talking to your kids matters (and why they probably know more than you)Resources and Links Primary episode sources: New York Times op-ed: Deepfake Nudes Are Harming TeensAP News: xAI/Grok lawsuit coverageLieff Cabraser on the NYT op-ed and the lawsuitVictim resources: StopNCII.orgSensity AILegislation and policy: The Take It Down Act (Latham & Watkins summary)State deepfake legislation tracker — Public CitizenContext and background: Understood: Deepfake Porn Empire (Apple Podcasts)Understood: Deepfake Porn Empire (Spotify)University College Cork: Deepfake Real Harms — Six MythsAlgorithmWatch: Spain schoolboys and AI-generated fake nudesLaura Bates, The New Age of SexismBrotopia by Emily Chang Gilded Rage by Jacob SilvermanLeave us a comment or a suggestion! Support the show Contact us: https://www.womentalkinboutai.com/

    47 min
  8. Apr 15

    AI Took the Doubt Out of the Writing. That's the Problem.

    Kimberly Becker joins George and George on the Bare Knuckles and Brass Tacks podcast to talk about what our research is revealing about the language AI produces and what it means for the rest of us.  Topics Covered How Kimberly's research compared AI-generated abstracts to human-written ones in nursing journals and what the key linguistic differences wereWhy AI text tends to be informationally dense, formulaic, and stripped of hedging languageThe Porter and Jick letter and how a five-sentence note helped fuel the opioid epidemic through citation chainingWhat happens when AI scales the same kind of telephone game with scientific evidenceHow algorithmic silos and certainty amplification may be eroding our tolerance for nuanceThe difference between accuracy and complexity in writing, and why polished text is not the same as deep thinkingWhy smaller, well-vetted language models may produce better outcomes than massive ones trained on internet slopNeil Postman's idea that writing "freezes speech" and what that means in an era when fewer people are doing their own writingReferenced in This Episode Bare Knuckles and Brass Tacks podcastThe Porter and Jick letter (1980) on opioid addictionNeil Postman, Amusing Ourselves to DeathJames Marriott's essay on the post-literate societyDerek Thompson, "The Decline of Thinking" (The Atlantic)OpenAI's Prism research toolLeave us a comment or a suggestion! Support the show Contact us: https://www.womentalkinboutai.com/

    38 min

Ratings & Reviews

4.8
out of 5
11 Ratings

About

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.Subscribe to our channel if you’re also interested in understanding AI behind the headlines. 

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