Wisdom and Algorithms: Revision

Last updated by Oliver Duex

Index Page for Wisdom and Algorithms

  1. - Focus: Emphasizing discernment in ML use, addressing risks like lack of ethical oversight, privacy violations, and untested models.
  2. - Content: Explanations of ML’s nature (statistical models, not sentient), risks of developers testing new models without transparency, and societal impacts (e.g., guinea-pig testing without consent, ignoring moral values). Includes TUB’s comments with wisdom on speed of societal advances, even tech advances.
  3. - Purpose: Equip readers to navigate ML’s dangers, ensuring it serves truth rather than deception. The growing ML safety movement. Responses to published views from UN students

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Revelation’s Digital Path

Revelation’s Digital Path

Revelation’s Digital Path

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