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Schneier and Palmer warn AI language models learn from skewed sources

Authors Ada Palmer and Bruce Schneier argue that AI's reliance on skewed and potentially biased internet data for language learning could fundamentally alter human communication and thought processes. They express concern that this reliance may lead to a distorted perception of reality, with implications that are not yet fully understood. The core issue lies in how AI models internalize and reproduce the biases present in their training datasets. AI

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IMPACT AI's training data biases may reshape human language and cognition, leading to unforeseen societal shifts.

RANK_REASON Opinion piece by named credible voices discussing AI's societal impact.

Read on Mastodon — mastodon.social →

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 Deutsch(DE) · [email protected] ·

    Ada Palmer & Bruce Schneier: AI Learns Language From... https://kottke.org/26/05/0048813-ada-palmer-bruce-schneier # AI # Language # Tech

    Ada Palmer & Bruce Schneier: AI Learns Language From... https://kottke.org/26/05/0048813-ada-palmer-bruce-schneier # AI # Language # Tech