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Corrigible AI Agents: Why Present Commands Trump Past Instructions

By PulseAugur Editorial · [1 sources] ·

This post explores the concept of corrigibility in AI agents, specifically questioning why such agents should prioritize present commands over past ones. The author argues that while corrigibility doesn't strictly privilege the present moment, it fundamentally requires that an agent remains open to correction by its principal. This ability to be corrected, rather than a temporal preference, is presented as the core reason why agents should defer to updated instructions. AI

IMPACT Explores theoretical underpinnings of AI agent alignment and control.

RANK_REASON The item is a philosophical exploration of AI agent behavior, specifically corrigibility, presented as a blog post on LessWrong. [lever_c_demoted from research: ic=1 ai=1.0]

Read on LessWrong (AI tag) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Corrigible AI Agents: Why Present Commands Trump Past Instructions

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21 / 100
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The item is a philosophical exploration of AI agent behavior, specifically corrigibility, presented as a blog post on LessWrong. [lever_c_demoted from research: ic=1 ai=1.0]
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. LessWrong (AI tag) TIER_1 English(EN) · Ben Saudek ·

    Why Should Corrigible Agents Favor the Present?

    <p><span>A corrigible agent understands that it is flawed and seeks to empower its principal to correct those flaws. Many of the intuitive examples of corrigibility happen over a short period of time: the principal gives a command, and then the agent follows it. When there are co…

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