The curious case of uncurious creation

Lindsay Brainard
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Finally, I consider the question of whether these AI models stand to make human creativity in the arts and sciences obsolete, despite not being creative themselves. I argue, optimistically, that this is unlikely.KEYWORDS: Creativityartificial intelligencecuriosityaestheticsagency Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 I am grateful to Ian Cruise, Marc Lange, Grace-Anna Perry, Nathaniel Sharadin, Keshav Singh, and an anonymous reviewer for their helpful feedback on earlier drafts of this paper.2 For a historical overview of early work in AI, see Crevier (Citation1993) and McCorduck (Citation2004).3 See Bubeck et al. (Citation2023) for some illustrative examples.4 This declaration is the title of a post on Bill Gates’ blog, GatesNotes. See Gates (Citation2023).5 One exception to this is the Zhuangzist account of creativity drawn out by Julianne Chung (Citation2020, Citation2021, Citation2022). On Chung’s interpretation, creativity as conceived by Zhuangzi doesn’t require novelty, but instead requires spontaneity.6 Among those who argue that creativity requires novelty are Beardsley (Citation1965), Boden (Citation1992, Citation2005, Citation2010), Hills and Bird (Citation2019), Gaut (Citation2003, Citation2018), Kronfeldner (Citation2009, Citation2018), Miller (Citation2019), Simonton (Citation1999), and Stokes (Citation2008, Citation2011, Citation2014).7 See, for instance, David Novitz (Citation1999), who argues that creative work must be surprising in the sense that it could not have been easily predicted by the community in which the creative work occurs. Relatedly, Robert Audi (Citation2018) also claims that unpredictability is the crucial sort of novelty for creativity, but argues that it should not be equated with surprisingness.8 Of course, the relevant sort of novelty here might not only be a matter of whether the sentence has been composed before – either historically or psychologically. It might also be a matter of how similar it is to other sentences that have been composed before. This suggests that novelty comes in degrees. For further discussion of this idea, see Brainard (Citationms). I am grateful to Marc Lange for suggesting I address this.9 For some accounts that include value as a necessarily condition of creativity, see Amabile (Citation1996), Boden (Citation1992, Citation2005, Citation2010), Carruthers (Citation2011), Cropley and Cropley (Citation2013), Gaut (Citation2003, Citation2018), Kieran (Citation2014), and Novitz (Citation1999).10 Some philosophers have cast doubt on the claim that creativity is necessarily valuable. Specifically, Hills and Bird (Citation2018; Citation2019) have argued that creativity is not necessarily valuable because there are clear cases of creativity that are worthless as well as clear cases of creativity that are wholly bad. Gaut (Citation2018) has argued that creativity’s value is merely conditional.11 For a helpful overview of epistemic value, see Pritchard and Turri (Citation2018). For a discussion of epistemic value in the context of creativity, see Hawley (Citation2018).12 Monroe Beardsley argues for a similar claim about artistic creativity (Citation1965). On his view, artistic creativity involves unexpected changes and the author’s critical reflection and response to those changes. For this reason, the result of artistic creation can’t be fully anticipated before the process is complete.13 Some accounts of creativity build epistemic value into the definition directly. For instance, Arthur I. Miller defines creativity as ‘the production of new knowledge from already existing knowledge [which] is accomplished by problem solving.’ (Citation2019, 29)14 For an argument that creativity always has the epistemic value of understanding, see Brainard (Citationms).15 For a helpful explanation of why deep learning is a black box, see Blazek (Citation2022).16 See, for example, Brainard (Citationms.), Carruthers (Citation2006), Gaut (Citation2018), Kieran (Citation2014) Paul and Stokes (Citation2018), and Stokes (Citation2008, Citation2011, Citation2014). To my knowledge, the only argument against the claim that creativity requires agency is given by Currie and Turner (Citationforthcoming), who argue that evolutionary processes can be creative.17 I am grateful to Keshav Singh for this example and the point it illustrates.18 Berys Gaut (Citation2018) also argues that creativity requires an element of spontaneity.19 See Bengio, Goodfellow, and Courville (Citation2016) for an explanation of how deep learning models improve iteratively.20 Though the relevant notion of responsibility is stronger than mere causal responsibility, it is not moral responsibility, but rather a more generic form of agential responsibility (see Wolf Citation2015). For an argument that AI cannot achieve moral agency specifically, see Véliz (Citation2021). For discussion of one practical implication of that argument, see Véliz (Citation2023).21 Claire Anscomb (Citation2022) argues that, while AI models that produce images cannot be creative, there is a sense in which they deserve some credit for works of art they contribute to.22 See OpenAI (Citation2023d) for an overview of how human feedback is used to train GPT-4.23 For reasons to be skeptical about categorizing curiosity as a desire, see İnan (Citation2011) and Kvanvig (Citation2012).24 For accounts of curiosity that categorize it as a desire, see Litman and Spielberger (Citation2003), Whitcomb (Citation2010), and Zagzebski (Citation1996).25 The list of philosophers who characterize curiosity as a motivating force includes Baehr (Citation2011), İnan (Citation2011), Kvanvig (Citation2012), Morton (Citation2010), Miščević (Citation2007), Ross (Citation2020), and Whitcomb (Citation2010).26 Christen, Alfano, and Robinson (Citation2014) argue that the inquisitive self is one of the aspects of a person that comprises the disposition of intellectual humility.27 For the original presentation of the distinction between the context of discovery and the context of justification, see Reichenbach (Citation1938). For a historical overview of the way this distinction has usually been understood by philosophers of science, see Schickore (Citation2014).28 See Anfinsen (Citation1973) for an early description of the protein folding problem.29 For an overview of major theories regarding the value and function of scientific explanation, see Salmon (Citation1989).30 See, for instance, Blazek and Lin (Citation2021) and Garcez (Citation2023).","PeriodicalId":47504,"journal":{"name":"Inquiry-An Interdisciplinary Journal of Philosophy","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Inquiry-An Interdisciplinary Journal of Philosophy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/0020174x.2023.2261503","RegionNum":2,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ETHICS","Score":null,"Total":0}
引用次数: 0

Abstract

ABSTRACTThis paper seeks to answer the question: Can contemporary forms of artificial intelligence be creative? To answer this question, I consider three conditions that are commonly taken to be necessary for creativity. These are novelty, value, and agency. I argue that while contemporary AI models may have a claim to novelty and value, they cannot satisfy the kind of agency condition required for creativity. From this discussion, a new condition for creativity emerges. Creativity requires curiosity, a motivation to pursue epistemic goods. I argue that contemporary AI models do not satisfy this new condition. Because they lack both agency and curiosity, it is a mistake to attribute the same sort of creativity to AI that we prize in humans. Finally, I consider the question of whether these AI models stand to make human creativity in the arts and sciences obsolete, despite not being creative themselves. I argue, optimistically, that this is unlikely.KEYWORDS: Creativityartificial intelligencecuriosityaestheticsagency Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 I am grateful to Ian Cruise, Marc Lange, Grace-Anna Perry, Nathaniel Sharadin, Keshav Singh, and an anonymous reviewer for their helpful feedback on earlier drafts of this paper.2 For a historical overview of early work in AI, see Crevier (Citation1993) and McCorduck (Citation2004).3 See Bubeck et al. (Citation2023) for some illustrative examples.4 This declaration is the title of a post on Bill Gates’ blog, GatesNotes. See Gates (Citation2023).5 One exception to this is the Zhuangzist account of creativity drawn out by Julianne Chung (Citation2020, Citation2021, Citation2022). On Chung’s interpretation, creativity as conceived by Zhuangzi doesn’t require novelty, but instead requires spontaneity.6 Among those who argue that creativity requires novelty are Beardsley (Citation1965), Boden (Citation1992, Citation2005, Citation2010), Hills and Bird (Citation2019), Gaut (Citation2003, Citation2018), Kronfeldner (Citation2009, Citation2018), Miller (Citation2019), Simonton (Citation1999), and Stokes (Citation2008, Citation2011, Citation2014).7 See, for instance, David Novitz (Citation1999), who argues that creative work must be surprising in the sense that it could not have been easily predicted by the community in which the creative work occurs. Relatedly, Robert Audi (Citation2018) also claims that unpredictability is the crucial sort of novelty for creativity, but argues that it should not be equated with surprisingness.8 Of course, the relevant sort of novelty here might not only be a matter of whether the sentence has been composed before – either historically or psychologically. It might also be a matter of how similar it is to other sentences that have been composed before. This suggests that novelty comes in degrees. For further discussion of this idea, see Brainard (Citationms). I am grateful to Marc Lange for suggesting I address this.9 For some accounts that include value as a necessarily condition of creativity, see Amabile (Citation1996), Boden (Citation1992, Citation2005, Citation2010), Carruthers (Citation2011), Cropley and Cropley (Citation2013), Gaut (Citation2003, Citation2018), Kieran (Citation2014), and Novitz (Citation1999).10 Some philosophers have cast doubt on the claim that creativity is necessarily valuable. Specifically, Hills and Bird (Citation2018; Citation2019) have argued that creativity is not necessarily valuable because there are clear cases of creativity that are worthless as well as clear cases of creativity that are wholly bad. Gaut (Citation2018) has argued that creativity’s value is merely conditional.11 For a helpful overview of epistemic value, see Pritchard and Turri (Citation2018). For a discussion of epistemic value in the context of creativity, see Hawley (Citation2018).12 Monroe Beardsley argues for a similar claim about artistic creativity (Citation1965). On his view, artistic creativity involves unexpected changes and the author’s critical reflection and response to those changes. For this reason, the result of artistic creation can’t be fully anticipated before the process is complete.13 Some accounts of creativity build epistemic value into the definition directly. For instance, Arthur I. Miller defines creativity as ‘the production of new knowledge from already existing knowledge [which] is accomplished by problem solving.’ (Citation2019, 29)14 For an argument that creativity always has the epistemic value of understanding, see Brainard (Citationms).15 For a helpful explanation of why deep learning is a black box, see Blazek (Citation2022).16 See, for example, Brainard (Citationms.), Carruthers (Citation2006), Gaut (Citation2018), Kieran (Citation2014) Paul and Stokes (Citation2018), and Stokes (Citation2008, Citation2011, Citation2014). To my knowledge, the only argument against the claim that creativity requires agency is given by Currie and Turner (Citationforthcoming), who argue that evolutionary processes can be creative.17 I am grateful to Keshav Singh for this example and the point it illustrates.18 Berys Gaut (Citation2018) also argues that creativity requires an element of spontaneity.19 See Bengio, Goodfellow, and Courville (Citation2016) for an explanation of how deep learning models improve iteratively.20 Though the relevant notion of responsibility is stronger than mere causal responsibility, it is not moral responsibility, but rather a more generic form of agential responsibility (see Wolf Citation2015). For an argument that AI cannot achieve moral agency specifically, see Véliz (Citation2021). For discussion of one practical implication of that argument, see Véliz (Citation2023).21 Claire Anscomb (Citation2022) argues that, while AI models that produce images cannot be creative, there is a sense in which they deserve some credit for works of art they contribute to.22 See OpenAI (Citation2023d) for an overview of how human feedback is used to train GPT-4.23 For reasons to be skeptical about categorizing curiosity as a desire, see İnan (Citation2011) and Kvanvig (Citation2012).24 For accounts of curiosity that categorize it as a desire, see Litman and Spielberger (Citation2003), Whitcomb (Citation2010), and Zagzebski (Citation1996).25 The list of philosophers who characterize curiosity as a motivating force includes Baehr (Citation2011), İnan (Citation2011), Kvanvig (Citation2012), Morton (Citation2010), Miščević (Citation2007), Ross (Citation2020), and Whitcomb (Citation2010).26 Christen, Alfano, and Robinson (Citation2014) argue that the inquisitive self is one of the aspects of a person that comprises the disposition of intellectual humility.27 For the original presentation of the distinction between the context of discovery and the context of justification, see Reichenbach (Citation1938). For a historical overview of the way this distinction has usually been understood by philosophers of science, see Schickore (Citation2014).28 See Anfinsen (Citation1973) for an early description of the protein folding problem.29 For an overview of major theories regarding the value and function of scientific explanation, see Salmon (Citation1989).30 See, for instance, Blazek and Lin (Citation2021) and Garcez (Citation2023).
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无趣造物的奇特案例
摘要本文试图回答这样一个问题:当代形式的人工智能是否具有创造性?为了回答这个问题,我考虑了三个通常被认为是创造力所必需的条件。它们是新颖性、价值和能动性。我认为,虽然当代人工智能模型可能具有新颖性和价值,但它们无法满足创造力所需的代理条件。从这个讨论中,创造力的新条件出现了。创造力需要好奇心,一种追求知识的动力。我认为,当代的人工智能模型并不能满足这一新的条件。因为它们既缺乏能动性,也缺乏好奇心,所以把我们在人类身上所珍视的创造力同样归因于人工智能是错误的。最后,我考虑的问题是,这些人工智能模型是否会使人类在艺术和科学领域的创造力过时,尽管它们本身并不具有创造力。我乐观地认为,这不太可能。关键词:创造力人工智能好奇心美学机构披露声明作者未报告潜在利益冲突我要感谢Ian Cruise、Marc Lange、Grace-Anna Perry、Nathaniel Sharadin、Keshav Singh和一位匿名审稿人对本文早期草稿的有益反馈要了解人工智能早期工作的历史概况,请参阅Crevier (Citation1993)和McCorduck (Citation2004)参见Bubeck等人(Citation2023)的一些说明性例子这是比尔·盖茨博客GatesNotes上一篇文章的标题。参见盖茨(Citation2023)一个例外是Julianne Chung (Citation2020, Citation2021, Citation2022)提出的庄子对创造力的描述。在钟氏看来,庄子的创意并不需要新奇,而是需要自发性认为创造力需要新颖的人包括比尔兹利(Citation1965)、博登(Citation1992、Citation2005、Citation2010)、希尔斯和伯德(Citation2019)、高特(Citation2003、Citation2018)、克伦费尔德纳(Citation2009、Citation2018)、米勒(Citation2019)、西蒙顿(Citation1999)和斯托克斯(Citation2008、Citation2011、Citation2014)例如,David Novitz (Citation1999)认为,创造性工作一定是令人惊讶的,因为它不可能被创造性工作发生的社区轻易预测。与此相关,罗伯特·奥迪(Citation2018)也声称,不可预测性是创造力的关键新颖性,但他认为不可预测性不应该等同于惊喜当然,相关的新奇之处可能不仅仅是这个句子以前是否被写过——无论是历史上的还是心理上的。这也可能是它与以前组成的其他句子有多相似的问题。这表明新鲜感是有程度的。关于这一观点的进一步讨论,请参见Brainard (citation)。我很感谢马克·兰格建议我谈论这个问题关于一些将价值作为创造力的必要条件的解释,请参见Amabile (Citation1996)、Boden (Citation1992、Citation2005、Citation2010)、Carruthers (Citation2011)、Cropley and Cropley (Citation2013)、Gaut (Citation2003、Citation2018)、Kieran (Citation2014)和Novitz (Citation1999)一些哲学家对创造力必然有价值的说法表示怀疑。具体来说,《山与鸟》(Citation2018;Citation2019)认为,创造力不一定有价值,因为有明显的创造力毫无价值的案例,也有明显的创造力完全不好的案例。Gaut (Citation2018)认为,创造力的价值仅仅是有条件的有关认知价值的有用概述,请参阅Pritchard和Turri (Citation2018)。关于创造力背景下的认知价值的讨论,见Hawley (Citation2018)门罗·比尔兹利(Monroe Beardsley)对艺术创造力提出了类似的观点(Citation1965)。在他看来,艺术创作包括意想不到的变化,以及作者对这些变化的批判性反思和回应。因此,艺术创作的结果在完成之前是无法完全预测的一些关于创造力的解释直接将认知价值融入到定义中。例如,阿瑟·米勒(Arthur I. Miller)将创造力定义为“通过解决问题,从已有知识中产生新知识”。(Citation2019, 29)14关于创造力总是具有理解的认知价值的论点,见Brainard (Citationms)关于为什么深度学习是一个黑盒子的有用解释,请参见Blazek (Citation2022)例如,参见布雷纳德(Citationms.)、卡拉瑟斯(Citation2006)、高特(Citation2018)、基兰(Citation2014)、保罗和斯托克斯(Citation2018)以及斯托克斯(Citation2008、Citation2011、Citation2014)。 据我所知,唯一反对创造力需要能动性的观点是Currie和Turner提出的,他们认为进化过程可以是创造性的我很感谢Keshav Singh的这个例子和它所说明的观点Berys Gaut (Citation2018)也认为,创造力需要自发性的元素参见Bengio, Goodfellow和Courville (Citation2016)对深度学习模型如何迭代改进的解释虽然责任的相关概念比单纯的因果责任更强,但它不是道德责任,而是代理责任的一种更一般的形式(参见Wolf Citation2015)。关于人工智能不能具体实现道德代理的论点,参见v<s:1>利兹(Citation2021)。关于该论点的一个实际含义的讨论,请参见v<s:1> (citation) 2023 .21Claire Anscomb (Citation2022)认为,虽然产生图像的人工智能模型不能具有创造性,但从某种意义上说,它们应该为它们所贡献的艺术作品获得一些荣誉关于如何使用人类反馈来训练GPT-4.23的概述,请参阅OpenAI (Citation2023d)。对于将好奇心归类为欲望的怀疑理由,请参阅İnan (Citation2011)和Kvanvig (Citation2012)关于将好奇心归类为一种欲望的解释,请参见Litman和Spielberger (Citation2003), Whitcomb (Citation2010)和Zagzebski (Citation1996)将好奇心描述为动力的哲学家包括Baehr (Citation2011), İnan (Citation2011), Kvanvig (Citation2012), Morton (Citation2010), Miščević (Citation2007), Ross (Citation2020)和Whitcomb (Citation2010)Christen, Alfano和Robinson (Citation2014)认为,好奇的自我是一个人的一个方面,包括智力谦逊的倾向关于发现背景和证明背景之间区别的原始表述,见Reichenbach (Citation1938)。关于科学哲学家通常理解这种区别的历史概述,见Schickore (Citation2014).28见Anfinsen (Citation1973)对蛋白质折叠问题的早期描述关于科学解释的价值和功能的主要理论的概述,见Salmon (Citation1989).30例如,请参阅Blazek和Lin (Citation2021)以及Garcez (Citation2023)。
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23.10%
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144
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