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    Three lenses for reading AI narratives: attitudes, utility and pace of progress

    The author of “The AI Discourse: A Guide,” a guest essay for AI Policy Perspectives, argues that estimates of AI catastrophe risk are based on “vibes,” not empirically derived statistics.

    MR
    2 Sources, 15d ago, first seen 15d ago

    TLDR

    The guest author of “The AI Discourse: A Guide” for AI Policy Perspectives describes three dimensions for parsing AI media narratives: valence (positive or negative attitudes toward AI), effectiveness (assumptions about AI’s utility), and trajectory (estimates of how quickly AI capabilities and adoption will advance). The author also argues that p(doom)—estimates of the probability of AI catastrophe—is based on “vibes” rather than empirically derived statistics.

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    2 Sources, first seen 15d ago

    Combined views

    708

    2 Sources, first seen 15d ago

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    2 Sources

    @merriermToday I guest-wrote for the AI Policy Perspectives blog. My piece, "The AI Discourse: A Guide" is particularly timeline given the current media cycles about p(doom) estimates. https://www.aipolicyperspectives.com/p/the-ai-discourse-a-guide
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    2 Sources

    @merriermToday I guest-wrote for the AI Policy Perspectives blog. My piece, "The AI Discourse: A Guide" is particularly timeline given the current media cycles about p(doom) estimates. https://www.aipolicyperspectives.com/p/the-ai-discourse-a-guide