featured_articles:evidence_against_current_methods_leading_to_human_level_artificial_intelligence
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featured_articles:evidence_against_current_methods_leading_to_human_level_artificial_intelligence [2022/10/19 01:57] katjagrace [Methods] |
featured_articles:evidence_against_current_methods_leading_to_human_level_artificial_intelligence [2022/10/19 02:01] (current) katjagrace |
// Published 12 August, 2019; last updated 07 October, 2019 // | // Published 12 August, 2019; last updated 07 October, 2019 // |
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<HTML> | This is a list of published arguments that we know of that current methods in artificial intelligence will not lead to human-level AI. |
<p>This is a list of published arguments that we know of that current methods in artificial intelligence will not lead to human-level AI.</p> | |
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<HTML> | We take ‘current methods’ to mean techniques for engineering artificial intelligence that are already known, involving no “qualitatively new ideas”.((“It now seems possible that we could build ‘prosaic’ AGI, which can replicate human behavior but doesn’t involve qualitatively new ideas about ‘how intelligence works’”— Christiano, Paul. [[https://openreview.net/pdf?id=H18WqugAb|Prosaic AI Alignment]]. 2017. Medium. Accessed August 13 2019. https://ai-alignment.com/prosaic-ai-control-b959644d79c2.)) We have not precisely defined ‘current methods’. Many of the works we cite refer to currently //dominant// methods such as machine learning (especially deep learning) and reinforcement learning. |
<p>We take ‘current methods’ to mean techniques for engineering artificial intelligence that are already known, involving no “qualitatively new ideas”.<span class="easy-footnote-margin-adjust" id="easy-footnote-1-1938"></span><span class="easy-footnote"><a href="#easy-footnote-bottom-1-1938" title='“It now seems possible that we could build ‘prosaic’ AGI, which can replicate human behavior but doesn’t involve qualitatively new ideas about ‘how intelligence works’”. &#8212; Christiano, Paul. <a href="https://openreview.net/pdf?id=H18WqugAb">&#8220;Prosaic AI Alignment&#8221;</a>. 2017. Medium. Accessed August 13 2019. https://ai-alignment.com/prosaic-ai-control-b959644d79c2.'><sup>1</sup></a></span> We have not precisely defined ‘current methods’. Many of the works we cite refer to currently <em>dominant</em> methods such as machine learning (especially deep learning) and reinforcement learning.</p> | |
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<p>These arguments might overlap in various ways, depending on how one understands them. For example, some of the challenges for current methods might be special instances of more general challenges. </p> | <p>These arguments might overlap in various ways, depending on how one understands them. For example, some of the challenges for current methods might be special instances of more general challenges. </p> |
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featured_articles/evidence_against_current_methods_leading_to_human_level_artificial_intelligence.1666144620.txt.gz · Last modified: 2022/10/19 01:57 by katjagrace