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Show Your Work: The Case for Radical AI Transparency

A reflection on why showing the full process of AI collaboration builds trust and sharpens judgment, drawing on concepts of deep smarts and core rigidity.

SourceO'Reilly AI & ML RadarAuthor: Kord Davis and Claude
Show Your Work: The Case for Radical AI Transparency
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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Key points

  • Transparency in AI use is not just ethical but cognitive; it reveals expert judgment.
  • Hiding AI process erodes both external trust and internal clarity about one's own expertise.
  • Practical steps include having conversations early, tracking threads, annotating exchanges, and being honest about errors.
  • Teams that treat transparency as a methodology will lead in AI adoption.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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