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Linking Artificial Intelligence Principles

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arxiv 1812.04814 v1 pith:Y4FNLYCV submitted 2018-12-12 cs.AI cs.CY

classification cs.AIcs.CY
keywords principlesdifferentartificialintelligencecompleteconsiderationsfuturelinking
verification ladder T0 review T1 audit T2 compute T3 formal
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Artificial Intelligence principles define social and ethical considerations to develop future AI. They come from research institutes, government organizations and industries. All versions of AI principles are with different considerations covering different perspectives and making different emphasis. None of them can be considered as complete and can cover the rest AI principle proposals. Here we introduce LAIP, an effort and platform for linking and analyzing different Artificial Intelligence Principles. We want to explicitly establish the common topics and links among AI Principles proposed by different organizations and investigate on their uniqueness. Based on these efforts, for the long-term future of AI, instead of directly adopting any of the AI principles, we argue for the necessity of incorporating various AI Principles into a comprehensive framework and focusing on how they can interact and complete each other.

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Cited by 1 Pith paper

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  1. Reversing the Paradigm: Building AI-First Systems with Human Guidance

    cs.AI 2025-06 unverdicted novelty 2.0 of 10

    A position paper advocating 'AI-first systems' in which autonomous agents lead and humans supervise, supported only by illustrative examples and self-reported KPIs.

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