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Philosophical approach tackles AI alignment via 'ought problem'

A philosophical approach to the AI alignment problem suggests tackling the "ought problem" first, which questions the ability of factual statements to imply value judgments. The author proposes an "extended science" that incorporates a category of "preference" alongside necessity, aiming to optimize for a preference-to-necessity complexity ratio. This framework seeks to establish an optimization proto-criterion for selecting "better" states, which are defined as more preferred states, potentially forming the basis for a system of morality. AI

IMPACT Proposes a novel philosophical framework for addressing the AI alignment problem by integrating value judgments into scientific understanding.

RANK_REASON The item is a philosophical opinion piece discussing the AI alignment problem and proposing a theoretical framework, rather than reporting on a specific event or release.

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Philosophical approach tackles AI alignment via 'ought problem'

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  1. LessWrong (AI tag) TIER_1 English(EN) · PeterL ·

    Alignment problem by extended science

    <p><span>First, I would like to reintroduce a very known problem in philosophy and on the Less Wrong as well, and it is the problem of ought. It resides in the inability of facts about reality to imply facts about values. According to science we can say that by cutting our veins …