Shira Lazar on Women Engaging With AI on Their Own Terms

Responding to criticism, Lazar argues that learning about AI can support participation while concerns about its harms remain valid.

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Shira Lazar
Publié
14 mai 2026
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1:34
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1 min
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anglais
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RÉSUMÉ

En 30 secondes

Shira Lazar responds to criticism of her support for Reese Witherspoon’s call for women to learn AI. She acknowledges environmental harm, concentration of wealth, and exclusion, while arguing that understanding the technology can help people question it and participate in decisions.

  1. 1Responding to criticismLazar says she received criticism after supporting a call for women to learn about AI.
  2. 2Taking concerns seriouslyShe acknowledges environmental harm, concentration of wealth, and systems built without everyone in mind.
  3. 3Understanding and influenceShe compares the discussion to earlier debates about social media and argues that early understanding can provide influence.
  4. 4Agency rather than blind adoptionLazar says knowing enough to question and challenge tools can help people participate in how they evolve.

À retenir

  1. Lazar acknowledges concerns about environmental impact, wealth concentration, and exclusion in AI.
  2. She argues that learning about a technology can help people participate in shaping decisions that affect them.
  3. She says participation need not mean uncritical adoption.
  4. Her conclusion is that women should be able to engage with AI on their own terms.
TEXTE INTÉGRAL

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Transcription seule
01

A response to criticism

Lazar explains the reaction to her post. She acknowledges serious concerns about AI and exclusion.

I received criticism for supporting Reese Witherspoon’s statement that women should learn about AI. The concerns people raised are real: environmental harm, concentrated wealth, and systems built without everyone’s needs in mind.

For people who are curious and wonder whether there is room for them, I think there is. We have had similar conversations about social media and smartphones. Those systems have caused harm, but people who understood them early also had more opportunities to influence how they developed.

02

Why understanding matters

She compares AI with previous technology shifts and argues that people affected by decisions should be able to participate. She cites other voices in the discussion.

I expect AI to affect work, healthcare, and finance. For me, the question is how people avoid being excluded from decisions that affect their lives. I point to others making nuanced arguments about participating as contributors rather than merely administering systems.

Gaps in participation reflect who has received resources, invitations, and encouragement. Learning about AI does not have to mean adopting it blindly; it can mean knowing enough to question and challenge it. When women are absent from early decisions, they may inherit systems that did not consider them. How can we engage on our own terms?

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