What happens when AI learns from history — and history isn’t neutral.

Hey,

We ask AI things we wouldn’t ask people. And it answers confidently, in complete sentences. It feels objective and neutral. But neutrality is a story we like to tell ourselves about systems that sound calm.

Last month, researchers released millions of forced comparisons on ChatGPT — more than 20 million prompts, asking it to choose between two places at a time. Even into the subjective territory, it picked a side roughly 40% of the time. 

Patterns emerged and #Edition34 is about that. Places with higher poverty rates tended to rank lower. Places with larger Black populations often scored worse. Wealthier cities clustered toward the top. Affluent neighborhoods were described more positively. Simply because it has training data and that comes from us.

Inside this edition:
🧠 AI Doesn’t Invent Bias. It Inherits It.
📚 What she’s reading, watching, cooking
📰 5 headlines worth her time
✨ Her Spotlight
🤍 Note to Her

Choose consciously. Even here…

AI systems are trained on enormous volumes of human text. News articles. Reddit threads. Travel blogs. Academic papers. Comment sections. Opinion pieces.

If a stereotype is repeated often enough online, it becomes statistically “normal.” AI doesn’t ask whether that repetition is fair. It predicts what is most likely to be said next. And the more dominant a narrative is, the more likely it is to surface.

This isn’t about blaming any one state, city, or community. It’s about recognizing something bigger: When inequality exists in society, it leaves fingerprints in language. And when language trains machines, those fingerprints remain.

Women already understand this dynamic.
We’ve been described by systems for centuries. Too emotional. Too ambitious. Too soft. Too much. If AI is trained on human language, it absorbs those patterns too. It can show up subtly as:

The bias doesn’t shout. It whispers in probability. And because it comes from a machine, it feels less personal — and therefore more believable. 

That’s the real risk.

Now, we are not afraid of systems. We interrogate them.

The women who wore miniskirts in the ’60s.
The ones who demanded bank accounts in the ’70s.
The ones who built companies in the ’80s.

They weren’t anti-technology. They were anti-unquestioned power.

AI is not an enemy. But it is a system built on human input. And human input carries history. If the output feels biased, it’s not because the machine is evil. It’s because it is a mirror.

Try This: Ask AI something subjective tonight: Which city is better for ambitious people? Which neighborhood feels safer? Which state has stronger leadership?
Then pause.
Ask yourself: What assumptions are hiding inside that answer? Whose narrative does it reflect? Who benefits from that story feeling true? This is not to perform outrage but to be more aware.

The fact that we can audit AI at all is progress.
The fact that we can detect patterns is power.
And the fact that women are leading conversations about bias in technology?
That’s momentum.

Neutral systems don’t exist. But conscious users do. And that’s us. The future doesn’t belong to the loudest stereotype. It belongs to the people who know how to question it — without losing their humanity in the process.

Planning for retirement raises many questions. Have you considered how much it will cost, and how you’ll generate the income you’ll need to pay for it? For many, these questions can feel overwhelming, but answering them is a crucial step forward for a comfortable future.

Start by understanding your goals, estimating your expenses and identifying potential income streams. The Definitive Guide to Retirement Income can help you navigate these essential questions. If you have $1,000,000 or more saved for retirement, download your free guide today to learn how to build a clear and effective retirement income plan. Discover ways to align your portfolio with your long-term goals, so you can reach the future you deserve.

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💬 Ideas to tune into when the world’s too loud.

📖 Read: Atlas of AI — Kate Crawford
If this week made you side-eye the word “neutral,” this book explains why. Crawford traces how AI is built on human data, human labor, and human inequality. It’s not tech panic. It’s clarity. Read this if you want sharper language for the systems shaping you.
🎬 Watch: Ex Machina — Dir. Alex Garland
A sleek, unsettling reminder that intelligence reflects its creator. Minimal dialogue. Maximum tension. Watch it and notice who designs the system — and who gets tested by it.
🍳 Cook: Crunchy Taco Wrap With Chicken (47g Protein)
Midweek, you want comfort without collapse. This homemade Crunchwrap delivers drive-thru nostalgia with serious protein and actual ingredient control. Toasted, layered, fast. Make it when you’re drained but still discerning. → Recipe linked.

✨ What you consume becomes your language. Choose accordingly.

🌍 5 stories shaping the week for women everywhere.

💸 Congress rejects sweeping budget cuts: Trump proposed deep cuts to housing, education and health programs. Lawmakers largely kept 2026 funding steady — Pell grants, housing aid and research survive for now.
🌍 Iran briefly shuts major oil route: Iran announced a temporary closure of the Strait of Hormuz during U.S. nuclear talks. The waterway carries 20% of global oil — meaning any escalation could ripple into gas and grocery prices.
🤖 Pentagon may label AI firm a risk: Defense officials are considering blacklisting Anthropic after it limited military use of its AI. The battle over who controls AI — and how — is escalating.
🏨 Hyatt chair steps down over Epstein ties: Tom Pritzker resigned after documents showed continued contact with Jeffrey Epstein post-conviction. Corporate consequences continue unfolding.
🗳️ Rubio endorses Hungary’s Orbán: The U.S. Secretary of State backed Viktor Orbán’s reelection bid. Orbán has restricted LGBTQ+ rights and banned Pride events — making the endorsement globally symbolic.

Found her. Loved her. Needed you to see her.

Malinda Russell: In 1866, a Black woman published a cookbook. She was a free woman of color, a single mother, and a pastry chef whose business was attacked by white men who believed she had no right to own property or succeed.

So she left. And she wrote. A Domestic Cook Book became the first known cookbook by an African American woman. 39 pages. Her name on the cover. Floating island. Custards. Technique. Precision. At a time when Black cooks built American cuisine without credit, she authored herself into history. Now you know her.

Neutrality is comfortable. Awareness is power.
Her Weekly Download arrives Mondays, Wednesdays, and Fridays — for women who think before they echo.

✨ P.S. If this feels like relief, send it her way. The best kind of care travels woman to woman 💚