『Weighting』のカバーアート

Weighting

Weighting

著者: Inception Point AI
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今ならプレミアムプランが3カ月 月額99円

2026年5月12日まで。4か月目以降は月額1,500円で自動更新します。

概要

Maya Chen explores the hidden art of assigning weight—how embedded values shape outcomes in machine learning, policy, and everyday decisions. Through decision science and AI systems, she reveals what matters in ways we rarely examine or challenge.

For more content like this, visit QuietPlease.aiCopyright 2026, Inception Point, AI Inc.
エピソード
  • Weighting - Navigate the balance with Maya Chen
    2026/04/21
    Join host Maya Chen as she uncovers how weighting—deciding what matters most—shapes personal judgments and algorithmic decisions. This series reveals invisible values embedded in models and machines. Discover why people see the same evidence yet reach opposite conclusions, and how unquestioned choices impact society.

    Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV

    This content was created in partnership and with the help of Artificial Intelligence AI
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    1 分
  • Weighting - Making the Invisible Contestable
    2026/04/21
    Join Maya Chen as she explores hidden mathematical weightings in major life decisions—from medical algorithms to loan approvals. This episode examines tools like Moral Graph Elicitation and EU regulations making these systems transparent and challengeable, arguing contestability is fundamental to respect.

    Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV

    This content was created in partnership and with the help of Artificial Intelligence AI
    続きを読む 一部表示
    27 分
  • Weighting - The Bias You Didn't Program
    2026/04/21
    Maya Chen explores how machine learning systems develop biases nobody programmed—through optimization dynamics, noisy feedback loops, and architectural choices. She reveals why invisible weights matter more than explicit ones, affecting real decisions about content, jobs, and loans, and explains how to make hidden preferences visible and contestable.

    Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV

    This content was created in partnership and with the help of Artificial Intelligence AI
    続きを読む 一部表示
    28 分
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