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Kara Swisher: AI Isn’t Going to Destroy Humanity—But the People Building It Might

Technology
United States
Iniciado September 20, 2026

The longtime tech journalist says she’s seen Silicon Valley make the same mistakes again and again

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CLAIM Publicado por admin • Sep 20, 2026
AI development should be guided by principles that prioritize human welfare.

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CLAIM Publicado por admin • Sep 20, 2026
Strict transparency mandates on AI systems would slow innovation and hand competitive advantage to countries with weaker safety standards.

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CLAIM Publicado por admin • Sep 20, 2026
Investing in AI without oversight will lead to catastrophic failures and societal harm.

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CLAIM Publicado por admin • Sep 20, 2026
AI companies should face liability for harms caused by their systems, creating economic incentives aligned with safety from the start.

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CLAIM Publicado por admin • Sep 20, 2026
AI companies have strong financial incentives to develop safety measures because catastrophic failures would destroy shareholder value and market trust.

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CLAIM Publicado por admin • Sep 20, 2026
Whether or not AI poses existential risk, governance structures must give technologists, ethicists, and elected representatives shared authority over deployment decisions.

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CLAIM Publicado por admin • Sep 20, 2026
Regulatory agencies should require AI companies to disclose training data sources, model capabilities, and known failure modes before release.

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CLAIM Publicado por admin • Sep 20, 2026
Public discourse on AI's implications should include voices from diverse communities.

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CLAIM Publicado por admin • Sep 20, 2026
AI developers must prioritize ethical guidelines to prevent harmful outcomes.

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CLAIM Publicado por admin • Sep 20, 2026
Any governance approach for AI must include voices from outside Silicon Valley—including workers, affected communities, and policymakers—not just technologists.

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