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Value alignment, human enhancement, and moral revolutions 价值观一致,人性提升,道德革命
2区 哲学 Q1 Arts and Humanities Pub Date : 2023-09-27 DOI: 10.1080/0020174x.2023.2261506
Ariela Tubert, Justin Tiehen
ABSTRACTHuman beings are internally inconsistent in various ways. One way to develop this thought involves using the language of value alignment: the values we hold are not always aligned with our behavior and are not always aligned with each other. Because of this self-misalignment, there is room for potential projects of human enhancement that involve achieving a greater degree of value alignment than we presently have. Relatedly, discussions of AI ethics sometimes focus on what is known as the value alignment problem, the challenge of how to build AI that acts in accordance with our human values. We argue that there is an especially close connection between solving the value alignment problem in AI ethics and using AI to pursue certain forms of human enhancement. But in addition, we also argue that there are important limits to what kinds of human enhancement can be pursued in this way, because some forms of human enhancement—namely moral revolutions—involve a kind of value misalignment rather than alignment.KEYWORDS: Artificial intelligencehuman enhancementmoral revolutions AcknowledgementsBoth authors would like to thank the National Endowment for the Humanities for support for their work, the University of Puget Sound and the John Lantz Senior Fellowship for Research or Advanced Study, and the participants at the Philosophy, AI, and Society Workshop at Stanford University. Ariela Tubert would like to thank the audience at the Ethics and Broader Implications of Technology Conference at the University of Nebraska at Lincoln.Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 See for instance Russell (Citation2019), Christian (Citation2020), Gabriel (Citation2020), Wallach and Vallor (Citation2020).2 Appiah (Citation2010). See also Baker (Citation2019).3 Russell and Norvig (Citation2010).4 Gershman (Citation2021, 156) makes this point while arguing that the ‘folklore’ about how machine learning has its origins in neuroscience overstates the level of influence neuroscience has actually had.5 See for instance Kahneman, Slovic, and Tversky (Citation1982), Kahneman and Tversky (Citation2000), Kahneman (Citation2011).6 Lieder et al. (Citation2019).7 Lieder et al. (Citation2019, 1096).8 Lieder and Griffiths (Citation2019). The notion of ‘rational analysis’ is drawn from Anderson (Citation1990).9 This is a point of focus in Griffiths (Citation2020).10 Lieder et al. (Citation2019, 1096).11 Lieder et al. (Citation2019, 1096). On gamification and AI more generally, see Deterding et al. (Citation2011).12 Chasse (Citation2021).13 Lieder et al. (Citation2019).14 Sinnott-Armstrong (Citation2008).15 Tversky and Kahneman (Citation1981).16 As Kühberger (Citation2017, 79) notes, the effect is robust and has been replicated across hundreds of papers.17 Kahneman and Tversky (Citation1979).18 Sometimes this point is used as part of an argument that we should be skeptical of moral facts at all, but this move requires a further
人的内在在许多方面是不一致的。发展这种想法的一种方法是使用价值一致的语言:我们持有的价值观并不总是与我们的行为一致,也不总是彼此一致。由于这种自我错位,人类增强的潜在项目有很大的空间,包括实现比我们目前拥有的更大程度的价值一致性。与此相关,人工智能伦理的讨论有时集中在所谓的价值一致性问题上,即如何构建符合人类价值观的人工智能的挑战。我们认为,解决人工智能伦理中的价值一致性问题与利用人工智能追求某些形式的人类增强之间存在着特别密切的联系。但除此之外,我们还认为,以这种方式追求什么样的人类提升存在重要的限制,因为某些形式的人类提升——即道德革命——涉及一种价值错位,而不是一致性。两位作者都要感谢美国国家人文基金会对他们工作的支持,感谢普吉特海湾大学和约翰·兰茨高级研究或高级研究奖学金,感谢斯坦福大学哲学、人工智能和社会研讨会的参与者。Ariela Tubert要感谢在内布拉斯加大学林肯分校举行的技术伦理与广泛影响会议上的观众。披露声明作者未报告潜在的利益冲突。注1参见Russell (Citation2019)、Christian (Citation2020)、Gabriel (Citation2020)、Wallach和valor (Citation2020)阿皮亚(Citation2010)。另见Baker (Citation2019)3 . Russell and Norvig (citation) 2010Gershman (Citation2021, 156)提出了这一点,同时认为关于机器学习如何起源于神经科学的“民间传说”夸大了神经科学实际具有的影响程度参见Kahneman, Slovic, and Tversky (Citation1982), Kahneman and Tversky (Citation2000), Kahneman (Citation2011)7 . Lieder et al. (Citation2019)7 . Lieder et al. (citation, 2019, 1996)Lieder和Griffiths (Citation2019)。“理性分析”的概念来自安德森(Citation1990)这是Griffiths (Citation2020)的一个重点11 . Lieder et al. (citation, 2019, 1996)Lieder等人(Citation2019, 1996)。关于游戏化和AI,请参见Deterding等人快滑步(Citation2021) 1314 . Lieder et al. (Citation2019)Sinnott-Armstrong (Citation2008)含量Tversky and Kahneman (Citation1981).16正如k<s:1>赫伯格(Citation2017, 79)所指出的那样,这种效应是强大的,并且已经在数百篇论文中得到了重复卡内曼和特沃斯基(引文1979).18有时,这一点被用作我们应该对道德事实持怀疑态度的论点的一部分,但这一举动需要进一步的推断。19 .关于所涉及的一些问题的有影响力的讨论,见Street (Citation2006), Joyce (Citation2007)辛格(Citation2005),格林(Citation2007).20参见Haidt (Citation2012)卡斯(Citation1997)。22口径的枪努斯鲍姆(Citation2004)。Kelly (Citation2011)对厌恶的道德意义进行了扩展讨论24 .扩大道德关注圈的概念来自辛格(Citation2011)关于Tay,请参见Victor (Citation2016)。关于土耳其语翻译案例,见Olson (Citation2018).25关于搜索引擎,请参见Noble (Citation2018)。关于面部识别系统,Buolamwini和Gebru (Citation2018)。在招聘决策方面,达斯汀(Citation2018)。关于贷款和信用卡申请,Angwin等人(Citation2016)。论预测性警务,奥尼尔(Citation2016)。关于量刑和假释决定,尤班克斯(Citation2018).26例如参见Kleinberg et al. (Citation2018), Kleinberg et al. (Citation2020).27参见Dovidio和Gaertner (Citation2000), Amodio和Devine (Citation2006), Gendler (Citation2011), Levy (Citation2017)。关于内隐偏见的批判性评估,请参见《机械》(Citation2022)瓦拉赫和艾伦(引文2009)。但我们注意到,他们的讨论是建立道德机器,而不是价值一致性。关于Wallach关于价值一致性的想法,请参见Wallach和valor (Citation2020)。29机(Citation1861/1998)。关于功利主义导向的人工智能的讨论包括Gips (Citation1994)、Grau (Citation2011)和Russell (Citation2019)康德(Citation1785/2012)。托马斯·鲍尔斯(Thomas Powers)的《康德式机器的前景》(Prospects for a Kantian Machine)将这一观点与人工智能联系起来Wallach和Allen都提到了这些例子(Citation2009, 79)肖特利夫和布坎南(引文1975).34萨乌列斯库和马伦(Citation2015),朱比利尼和萨乌列斯库(Citation2018)。 关于该提案的批判性讨论,仍然同情追求基于人工智能的人类道德增强的想法,参见Lara和Decker (Citation2020).35dedeterding (Citation2014)讨论了道德游戏化,捍卫了“理想设计”方法37 . Millar (Citation2015)、Contissa、Lagioia和Sartor (Citation2017)赞成用户控制自动驾驶汽车的道德设置,而Lin (Citation2014)、Gogoll和m<e:1> ller (Citation2017)则反对这一想法Santurkar等人(Citation2023)。参见Rozado (Citation2023).38Thompson, Hsu, and Myers (Citation2023).39参见Narayanan和Kapoor (Citation2023)对Santurkar等人(Citation2023)的批判性讨论OpenAI Citation2023 .41点斯坦伯格(Citation2023)点沃克(Citation2023)点马库斯(Citation2023)无误阿皮亚(Citation2010)。Klenk等人(Citation2022)提供了一项关于道德革命的最新研究阿皮亚(Citation2010:, 8),库恩
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引用次数: 0
Who whom? Uptake and radical self-silencing 他谁?吸收和彻底的自我沉默
2区 哲学 Q1 Arts and Humanities Pub Date : 2023-09-27 DOI: 10.1080/0020174x.2023.2261500
Maximilian de Gaynesford
Radical self-silencing is a particular variety of speech act disablement where the subject silences themselves, whether knowingly or not, because of their own faults or deficiencies. The paper starts with some concrete cases and preparatory comments to help orient and motivate the investigation. It then offers a summary analysis, drawing on a small number of basic concepts to identify its five individually necessary and jointly sufficient conditions and discriminating their two basic forms, ‘internalist’ and ‘externalist’. The paper then explicates and defends what has been proposed, where the most salient and pressing objections concern the use of two basic concepts: ‘uptake’ and ‘silencing’. Finally, the paper gives a longer-term motivation for deepening our understanding of radical self-silencing, what it is, and what it implies.
激进的自我沉默是言语行为残疾的一种特殊形式,在这种情况下,由于自己的错误或缺陷,无论是否有意,主体都会使自己沉默。本文从具体案例入手,提出了一些初步意见,以帮助引导和激励调查。然后进行总结分析,借鉴少数基本概念,确定其五个单独必要条件和共同充分条件,并区分其两种基本形式:“内部主义”和“外部主义”。然后,论文对所提出的内容进行了解释和辩护,其中最突出和最紧迫的反对意见涉及两个基本概念的使用:“吸收”和“沉默”。最后,本文给出了一个长期的动机,以加深我们对激进的自我沉默的理解,它是什么,它意味着什么。
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引用次数: 0
Uptake and refusal 接受和拒绝
2区 哲学 Q1 Arts and Humanities Pub Date : 2023-09-25 DOI: 10.1080/0020174x.2023.2258207
Quill R Kukla
ABSTRACTDiscussions of uptake in the philosophy of language focus our attention on what role other people have in fixing the import, success, influence and social life of a speech act. The general idea in most discussions of uptake, despite their differences and disagreements, is whether and how an audience is cooperative or uncooperative when a speaker plays a critical role in how speech acts function. This essay is primarily concerned with “refusals”, or uncooperative uptakes. The essay analyzes the varieties of refusal; when refusal is possible why it might be challenging and when it is ethical. It examines how and when the uptake of a speech act can constitute the pragmatic form and force of the original speech act.KEYWORDS: Uptake; refusal; speech act theory; discursive injustice; sexual consent Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 We can think of this point as an extension of Grice’s famous development of the maxims of conversation (Grice Citation1975). Grice argued that in functional conversations, responses are always semantically constrained: the content of our responses needs to be relevant, informative, and so forth. We can add that our responses are also pragmatically constrained; which responsive actions count as felicitous will be shaped by the original speech act, in its the social and material context.2 McDonald (Citation2021) claims that any constitution that goes beyond ratification is impossible, because speaking is the exercise of a normative power, and exercising normative power necessarily requires intentional will. So, performing any speech act you did not intend is impossible. But I am not sure why I should accept that we can exercise normative powers only intentionally, nor that, when we do, the exercise must go exactly as I intended. As I already pointed out near the start of this essay, speech acts have all kinds of normative effects that I did not intend! When I say, ‘I do!’ in a marriage ceremony, this has tax and legal implications I did not intend. A speech act may constitute a racist microaggression even if the speaker did not intend to be racist. A professor who wants to invite a student over to his house for wine but does not want to pressure her may make pressure her anyhow. In general, our speech acts do all sorts of unintended things, even apart from any constitutive work uptake does. We could, of course, define ‘exercising’ normative power as an intentional act by stipulation, but there seems then to be no reason to think that discursive power is always exercised in this sense, nor that whatever intentions we may in fact have need to map exactly onto the normative impact of what we perform.3 This is, perhaps, part of why gaslighters often try to isolate their victims; when speech receives uptake only from one person, it is much easier for that person to use their uptake to constitutively manipulate the situation.4 This point is consonant with points made b
摘要语言哲学中关于吸收的讨论,关注的是他人在确定言语行为的意义、成功、影响和社会生活中所起的作用。在大多数关于吸收的讨论中,尽管存在分歧和分歧,但总的观点是,当演讲者在言语行为的功能中发挥关键作用时,听众是否以及如何合作或不合作。这篇文章主要关注的是“拒绝”,或不合作的接受。本文分析了拒绝的种类;什么时候拒绝是可能的,为什么拒绝是有挑战性的,什么时候拒绝是合乎道德的。它考察了言语行为的吸收如何以及何时构成原始言语行为的语用形式和力量。关键词:吸收;拒绝;言语行为理论;散漫的不公;性同意披露声明作者未报告潜在的利益冲突。注1:我们可以把这一点看作是格赖斯著名的“谈话格言”的延伸(格赖斯引证,1975)。Grice认为,在功能性对话中,回应总是在语义上受到限制:我们回应的内容需要是相关的、信息丰富的,等等。我们还可以补充说,我们的反应也受到了务实的限制;在社会和物质环境中,哪些反应性行为被认为是恰当的,将受到原始言语行为的影响McDonald (Citation2021)声称,任何超越批准的宪法都是不可能的,因为发言是对规范性权力的行使,而行使规范性权力必然需要有意的意志。所以,做任何你不想做的演讲都是不可能的。但我不确定为什么我应该接受这样的观点,即我们只能有意地行使规范性权力,而当我们这样做时,这种行使也必须完全按照我的意图进行。正如我在本文开头所指出的那样,言语行为具有各种各样的规范性效应,而这些效应并非我所希望的!当我说:“我愿意!”“在婚礼上,这样做会涉及税收和法律问题,这是我无意的。即使说话者无意成为种族主义者,言语行为也可能构成种族主义微侵犯。一位教授想邀请一位学生去他家喝酒,但又不想给她施加压力,无论如何,他还是会给她施加压力。一般来说,我们的言语行为会做各种意想不到的事情,甚至不包括任何构成行为。当然,我们可以将“行使”规范性权力定义为一种通过规定的有意行为,但似乎没有理由认为话语权力总是在这种意义上行使,也没有理由认为我们实际上可能拥有的任何意图都需要精确地映射到我们所执行的规范性影响上也许这就是为什么煤气枪经常试图孤立受害者的部分原因;当言语只从一个人那里接受时,那个人更容易利用他们的理解来构成地操纵局面这一点与Naomi Scheman (Citation1983)和Talia Mae Bettcher (Citation2009)的观点一致,即尊重说话者的心理自我描述是一种政治责任,而不是一种认知原则卡波内托只允许这种对公开演讲行为的拒绝算作“拒绝”(同上)。当然,在某种程度上这是一个语义规定的问题;我只是比她更喜欢用“拒绝”这个词。但我希望在随后的章节中证明,将拒绝视为比这更大的语言行为类别是有用的,这些公开的拒绝是最弱的形式这里需要提醒的是,有些演讲行为表面上是公开征集,但实际上并非如此。如果我真的在邀请你,那么你有理由拒绝。但有人可能会“邀请”别人做某事——比如参加一个不愉快的亲戚的婚礼——这种邀请是一种暗示性的命令,如果被邀请者不接受,实际上会受到惩罚。很可能需要一些社会权力和权威来拒绝这种伪装成公开号召的强制性提议参见Goldberg Citation2020和Klieber Citation2021关于实质性的、有内容的沉默这一点是对一位匿名评论者提出的有益担忧的重复这是兰顿的设想,但就我一直在为本构吸收的观点辩护而言,这种担忧也适用于我。例如,参见McDonald Citation2021和Harris and Tanter未发表在这里,与这篇文章的大部分不同,我使用了性别化的代词和名词,因为讨论这个问题的文献一致地假设了一个男性的煽动者和女性的接受者,也因为在强奸文化中起作用的相关规范是明显的性别化的,随着我在这一节的进展,这一点将会很重要我认为,这种对性拒绝的结构性拒绝的空间,是兰斯顿最深刻的观点。 我不认为兰顿的意图主义框架是阐述这一点的最佳框架,因为它让人觉得,仅仅错误地认识到某人的意图就足以撤销他们的拒绝。我还认为,她专门制作了色情作品,而不是强奸文化、性消极性和更普遍的父权制,承担了太多繁重的工作。本研究得到了亚历山大·冯·洪堡基金会的支持。
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引用次数: 0
The curious case of uncurious creation 无趣造物的奇特案例
2区 哲学 Q1 Arts and Humanities Pub Date : 2023-09-25 DOI: 10.1080/0020174x.2023.2261503
Lindsay Brainard
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
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 (C
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引用次数: 0
Predicting and preferring 预测和偏好
2区 哲学 Q1 Arts and Humanities Pub Date : 2023-09-25 DOI: 10.1080/0020174x.2023.2261493
Nathaniel Sharadin
ABSTRACTThe use of machine learning, or ‘artificial intelligence’ (AI) in medicine is widespread and growing. In this paper, I focus on a specific proposed clinical application of AI: using models to predict incapacitated patients’ treatment preferences. Drawing on results from machine learning, I argue this proposal faces a special moral problem. Machine learning researchers owe us assurance on this front before experimental research can proceed. In my conclusion I connect this concern to broader issues in AI safety.KEYWORDS: PPPmedical ethicsAIpatient preference predictorspreference shaping Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 In what follows, I mostly refer to these systems as ML systems, rather than as ‘AI’, in order to avoid unfortunate and controversial implications about machine ‘intelligence’.2 For an overview, see (Emanuel et al. Citation1991; Buchanan and Brock Citation2019).3 For discussion, see (Salmond and David Citation2005; Shalowitz, Garrett-Mayer, and Wendler Citation2006; Jezewski et al. Citation2007).4 See (Rid and Wendler Citation2014a) for discussion; for relevant machine learning research, see (O. Evans et al. Citation2018).5 For a selection of moral criticism, see (N. Sharadin Citation2019; N. P. Sharadin Citation2018; Ditto and Clark Citation2014; Kim Citation2014; John Citation2014; Dresser Citation2014; Tretter and Samhammer Citation2023; Mainz Citation2022). For a recent reply to autonomy-based criticism, see (Jardas et al. Citation2022).6 Compare (N. P. Sharadin Citation2018).7 For a technical overview, see (Gneiting and Raftery Citation2007).8 Well, three. We could change our scoring rule, or our performance metric. I ignore this possibility in what follows.9 I follow the literature in saying that a learner is incentivized to do something just in case doing that thing increases performance (or reward). See (Krueger, Maharaj, and Leike Citation2020, 2).10 If this sounds familiar from the Forever War between consequentialists and Kantians, that’s not an accident.11 See (Good Citation2021).12 Philosophers call a related phenomenon self-fulfilling beliefs (Silva Citationforthcoming; Antill Citation2019).13 Following (Perdomo et al. Citation2020). Begrudgingly because it can make it sound as if the model itself is doing something. It isn’t: we are doing something with the model.14 Compare (Franklin et al. Citation2022).15 This follows from broader ideas about the importance of informed consent. For an overview, see (Faden and Beauchamp Citation1986); for critical discussion, see (Manson and O’Neill Citation2007).16 This is not controversial. See (Li and Chapman Citation2020) for discussion.17 For a recent philosophical discussion, see Parmer (Citation2023). The debate over the ethics of nudging is ongoing. For the classic source on ‘nudges’ see Thaler and Sunstein (Citation2008).18 For technical discussion of the broad phenomenon, see (Krueger, Maharaj, and Leike Citati
摘要机器学习或“人工智能”(AI)在医学中的应用广泛且不断增长。在本文中,我重点关注人工智能的具体临床应用:使用模型预测无行为能力患者的治疗偏好。根据机器学习的结果,我认为这一提议面临着一个特殊的道德问题。在进行实验研究之前,机器学习研究人员应该在这方面向我们保证。在我的结论中,我将这种担忧与人工智能安全的更广泛问题联系起来。关键词:ppp医学伦理患者偏好预测偏好形成披露声明作者未报告潜在利益冲突注1在下文中,我主要将这些系统称为ML系统,而不是“AI”,以避免关于机器“智能”的不幸和有争议的含义有关概述,请参阅(Emanuel等)。Citation1991;2 .布坎南和布洛克引文(2019)有关讨论,请参见(Salmond and David Citation2005;Shalowitz, Garrett-Mayer, and Wendler Citation2006;Jezewski等。Citation2007) 4。详见(Rid and Wendler Citation2014a);有关机器学习的相关研究,请参见(O. Evans等)。Citation2018) 5有关道德批评的选择,请参见(N. Sharadin Citation2019;N. P. Sharadin Citation2018;同上和克拉克引文2014;金正日Citation2014;约翰Citation2014;梳妆台Citation2014;Tretter and Samhammer;美因茨Citation2022)。有关最近对基于自治的批评的回应,请参见Jardas et al。Citation2022)。67 .比较(n.p. Sharadin Citation2018)有关技术概述,请参阅(Gneiting and Raftery citation) 2007三。我们可以改变我们的评分规则,或者我们的绩效指标。在接下来的内容中,我忽略了这种可能性我遵循文献的说法,学习者被激励去做一些事情,只是为了以防做这件事会提高表现(或奖励)。参见(Krueger, Maharaj, and Leike Citation2020, 2).10如果这听起来很像结果主义者和康德主义者之间的永恒之战,那绝非偶然参见(Good Citation2021)哲学家们把一种相关的现象称为自我实现的信念(席尔瓦引文即将到来;Antill Citation2019) 13。以下是(Perdomo等人)Citation2020)。不情愿,因为这会让它听起来好像模型本身在做什么。不是的,我们正在对模型做些什么比较富兰克林等人。Citation2022实施率达)这源于对知情同意重要性的更广泛的认识。有关概述,请参见(Faden and Beauchamp Citation1986);关于批判性的讨论,见(Manson and O 'Neill citation, 2007)这是没有争议的。参见(Li and Chapman Citation2020)进行讨论有关最近的哲学讨论,请参见Parmer (Citation2023)。关于“轻推”是否道德的争论仍在继续。关于“助推”的经典来源见塞勒和桑斯坦(Citation2008)有关广泛现象的技术讨论,请参见Krueger, Maharaj和Leike Citation2020;C. Evans and Kasirzadeh Citation2022;Farquhar, Carey, and Everitt Citation2022;Everitt等人。Citation2021) .19参见Perdomo等人的讨论。Citation2020)”感谢一位匿名的裁判,他鼓励大家澄清这一点据我所知,唯一一项涉及医疗人工智能背景下的行为预测问题的研究是一篇综述文章(Chen等人)。Citation2021);在这里,作者只是简单地指出了分布转移的可能性(又名绩效预测)这也是其他人工智能安全研究人员的结论。比较hendricks等人。Citation2022;C. Evans and Kasirzadeh Citation2022;阿什顿和富兰克林引文(2022)。这并不是说没有关于如何确保模型具有与绩效预测相关的其他有趣属性的建议,例如,可以实现各种战略均衡;相关讨论见mendler - d nner et al。Citation2020;Brown, Hod, and Kalemaj Citation2022;Miller, Perdomo, and Zrnic Citation2021)。最近的工作旨在识别和惩罚推荐系统中诱导的偏好变化(例如Carroll等人)。Citation2022);那项工作显然与目前的问题有关,尽管它还不是解决问题的办法这就是为什么没有人对对齐问题的定义达成一致的部分原因。感谢一位匿名的推荐人,他用这种方式将对齐问题与我在论文中发现的问题进行了对比感谢Simon Goldstein, Dan hendricks, Jacqueline Harding, Cameron Kirk-Giannini, David Krueger, Nick Laskowski, Robert Long, Elliot Thornley以及Cottage Group成员就这些问题和相关问题进行了有益的讨论。
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引用次数: 0
Appreciating the need for autonomy, or recognizing the truth of evidentialism? 欣赏自治的必要性,还是承认证据主义的真理?
2区 哲学 Q1 Arts and Humanities Pub Date : 2023-09-22 DOI: 10.1080/0020174x.2023.2261491
Kevin McCain
ABSTRACTIn this article I raise two challenges for the primary argument of Adam Carter's Autonomous Knowledge. The first is that his argument for thinking that internalist theories of epistemic justification face problems from TrueTemp-style examples is unsound. The second is that the autonomy condition that Carter argues for is not new as it seems to be already implicit in Earl Conee and Richard Feldman's account of well-founded belief. Ultimately, I do not see these challenges as undermining the value of Carter's project. Rather, these challenges help illuminate that what Autonomous Knowledge does is provide a powerful argument for Evidentialism.KEYWORDS: autonomyAdam CarterEarl ConeeEvidentialismRichard FeldmanTrue-Temp Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 More precisely, the principle says: “for any version of a TrueTemp case, T, and any kind of epistemic justification condition, EJ, on knowledge that we might appeal to explain why Mr. TrueTemp fails to know in T, there will be a possible variation on T, T*, in which Mr. TrueTemp continues to fail to know and yet EJ is satisfied.”2 See, in particular, their Citation2004 collection of essays and their Citation2011 replies to critics. See also McCain (Citation2014) for development and defense of this sort of mentalist Evidentialism. Although there are externalist versions of Evidentialism (see Bergmann Citation2018 for helpful discussion), throughout this article I will use the term “Evidentialism” to refer to the internalist variety.3 There are various answers to what sorts of mental states in particular count as evidence. For example, as discussed below, Conee and Feldman (Citation2008) claim that experiences of various kinds are ultimate evidence, and beliefs justified by those experiences are intermediate evidence. McCain and Moretti (Citation2021) agree, though they offer a more precise take on which experiences count as ultimate evidence by insisting that only seemings/appearances are evidence.4 There are different views of what is required for a belief to be held on the basis of a given body of evidence. Some insist that one must have a meta-belief to the effect that the evidence sufficiently supports the belief (see for example, Lehrer Citation1971; Tolliver Citation1982; Foley Citation1987). Others insist that one’s evidence must cause the belief in the appropriate way (see, for example, Moser Citation1989; Pollock and Cruz Citation1999; McCain Citation2012). Still others suggest that one must simply satisfy one or the other of these conditions (see Korcz Citation2000; Mittag Citation2002 for criticism). Fortunately, we don’t have to settle the issue here because TrueTemp* doesn’t satisfy any of these conditions with respect to his belief that q.5 A number of Evidentialists are explicit in claiming that ultimate evidence is experiential, and beliefs are only intermediate evidence. In particular, they insist that the only time a beli
摘要本文对亚当·卡特的自主知识理论的主要论点提出了两个挑战。首先,他认为内部主义的认识论辩护理论面临着来自truetemp式例子的问题,这种观点是站不住脚的。其次,卡特所主张的自治条件并不新鲜,因为它似乎已经隐含在厄尔·科尼和理查德·费尔德曼对有充分根据的信仰的描述中。最终,我不认为这些挑战会破坏卡特项目的价值。相反,这些挑战有助于阐明自主知识所做的是为证据主义提供有力的论据。关键词:自主adam CarterEarl coneeevidence - ism richard feldmanture - temp披露声明作者未报告潜在的利益冲突。注1更准确地说,这个原则说:“对于任何版本的TrueTemp情况T,以及任何类型的认知证明条件EJ,关于我们可能用来解释为什么TrueTemp先生在T中不知道的知识,会有一个可能的T变化T*,其中TrueTemp先生继续不知道,但EJ被满足。”2请特别参阅他们的Citation2004论文集和Citation2011对评论家的回复。参见麦凯恩(Citation2014)对这种唯心主义证据主义的发展和辩护。尽管证据主义有外部主义版本(参见Bergmann Citation2018以获得有益的讨论),但在本文中,我将使用术语“证据主义”来指代内部主义的变体对于什么样的精神状态可以算作证据,有各种各样的答案。例如,正如下面所讨论的,Conee和Feldman (Citation2008)声称,各种各样的经验是最终证据,而由这些经验证明的信念是中间证据。麦凯恩和莫雷蒂(Citation2021)对此表示同意,尽管他们通过坚持认为只有看似/表象才是证据,对经验算作最终证据的观点提出了更精确的看法对于在一定证据的基础上持有一种信念所需要的条件,人们有不同的看法。一些人坚持认为,一个人必须有一个元信念,大意是有足够的证据支持这个信念(例如,Lehrer Citation1971;Tolliver Citation1982;福利Citation1987)。另一些人坚持认为,一个人的证据必须以适当的方式引起信念(例如,参见Moser Citation1989;Pollock and Cruz citation; 1999;麦凯恩Citation2012)。还有一些人认为,一个人必须简单地满足这些条件中的一个或另一个(见Korcz Citation2000;Mittag Citation2002批评)。幸运的是,我们不必在这里解决这个问题,因为TrueTemp*不满足关于他的信念q.5的任何这些条件许多证据主义者明确地宣称终极证据是经验证据,而信仰只是中间证据。特别是,他们坚持认为,只有当信念本身被证明是正确的时候,信念才会成为证据。例如,参见Conee and Feldman (Citation2008), McCain (Citation2014),以及McCain and Moretti (Citation2021)我假设TrueTemp*相信p的理由没有被他所拥有的其他证据所破坏,而且他没有同样好的理由相信p。换句话说,在这种情况下,我同意,考虑到所有的事情,TrueTemp*拥有的证据实际上为相信p.7提供了命题论证参见麦凯恩(Citation2012)对这种基地关系的阐述和辩护。其他关于基础关系的因果解释,如Moser (Citation1989)和Pollock和Cruz (Citation1999),似乎也得出了同样的结果,即TrueTemp*的信念是理性响应的。埃文斯(Citation2013)捍卫的那种关于基地的性格描述似乎也有这种后果其他证据主义者否认Conee和Feldman所描述的欣赏是支持相信一个命题的证据所必需的(例如,参见Smithies Citation2019;麦凯恩和莫雷蒂引文(2021)。然而,这些证据主义者认为,这种欣赏是基础的必要组成部分,这是谬论辩护所必需的。因此,在这些替代的证据主义图片上,证据支持绕过或先发制人的信念仍然是没有充分根据的值得注意的是,如果我们把Conee和Feldman关于有充分根据的信念的条件理解为在迭代原则中使用的认识论证明条件,那么我们就有更多的理由怀疑该原则。毕竟,满足Conee和Feldman对有充分根据的信念的要求的信念也将满足Carter的HSEEA***的条件。 由于满足HSEEA***排除了在TrueTemp的情况下,TrueTemp的角色不可能满足Conee和Feldman的有充分根据的信念条件而不具备知识感谢Jon Matheson和一位匿名审稿人对早期草稿的有益评论。
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引用次数: 0
Deciding what we mean 决定我们的意思
2区 哲学 Q1 Arts and Humanities Pub Date : 2023-09-20 DOI: 10.1080/0020174x.2023.2255219
Andrew Peet
Stipulation gives us a degree of control over meaning. By stipulating how I will use a term I am able to determine the meaning it will receive on future occasions of use. My stipulation will affect the truth conditional content of my future utterances. But the mechanisms of stipulation are mysterious. As Cappelen ([2018]. Fixing Language: An Essay on Conceptual Engineering. Oxford: Oxford University Press. https://doi.org/10.1093/oso/9780198814719.001.0001) argues, meaning is typically determined in an inscrutable way by a myriad of external factors beyond our control. How does stipulation override these factors? And the powers of stipulation are limited. Firstly, the power of stipulation is typically short-lived. Secondly, some stipulations simply don’t get off the ground. What explains the limits of stipulation? I consider two related approaches to stipulation and argue that they are unable to capture stipulation’s metasemantic effects. I then provide an explanation of the metasemantic effects of stipulation: Stipulation determines meaning by determining the word use it is fitting to hold the speaker to. This account is able to capture the mechanisms and limits of stipulation, whilst also explaining why we should care about stipulative success. I close by briefly drawing out some lessons for conceptual engineering.
规定让我们对意义有一定程度的控制。通过规定我将如何使用一个术语,我能够确定它在未来使用场合的含义。我的规定会影响我未来话语的真实条件内容。但规定的机制是神秘的。如Cappelen[2018]。固定语言:一篇关于概念工程的文章。牛津:牛津大学出版社。https://doi.org/10.1093/oso/9780198814719.001.0001)认为,意义通常是由无数我们无法控制的外部因素以一种不可思议的方式决定的。规定如何凌驾于这些因素之上?而且规定的权力是有限的。首先,规定的效力通常是短暂的。其次,有些规定根本无法实施。如何解释约定的局限性?我考虑了两种相关的约定方法,并认为它们无法捕捉约定的元语义效应。然后,我对规定的元语义效应进行了解释:规定通过决定说话者适合使用的词语来决定意义。这种解释能够捕捉到规定的机制和限制,同时也解释了为什么我们应该关心规定的成功。最后,我简要地总结了一些概念工程的经验教训。
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引用次数: 0
Offending by mentioning 提及冒犯
2区 哲学 Q1 Arts and Humanities Pub Date : 2023-09-19 DOI: 10.1080/0020174x.2023.2253850
Adam Sennet, David Copp
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引用次数: 0
Skills and savoir-faire: might anti-intellectualism suffice? 技能和技巧:反智主义够了吗?
2区 哲学 Q1 Arts and Humanities Pub Date : 2023-09-11 DOI: 10.1080/0020174x.2023.2254333
Ian Robertson
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引用次数: 1
Meanings as species in communication and inquiry 在交流和探究中作为物种的意义
2区 哲学 Q1 Arts and Humanities Pub Date : 2023-09-11 DOI: 10.1080/0020174x.2023.2253847
Laura Schroeter, François Schroeter
Can mere conceptual competence explain the apriori? Many contemporary theorists believe that conceptual competence grounds apriori conceptual truths – and that this fact helps explain how thinkers can have apriori justification for accepting these truths and reasoning in accord with them. In this chapter, I'll examine several contemporary defenses of the conceptual approach to apriority in order to clarify their core commitments about the nature of concepts. The common thread, I'll argue, is a picture of concepts that combines a conceptual role model of conceptual competence with a rationalizing approach to the determination of semantic contents. My first aim is to show how this model of concepts has the potential to ground apriori truth and justification. My second aim is to show how the model involves problematic commitments about concepts, which can be avoided on an alternative relational model of concepts.
单纯的概念能力能解释先天吗?许多当代理论家认为,概念能力是以先验的概念真理为基础的,这一事实有助于解释思想家如何能够有先验的理由来接受这些真理,并根据这些真理进行推理。在本章中,我将考察几个当代对优先性的概念方法的辩护,以澄清他们对概念本质的核心承诺。我认为,共同的主线是一幅概念图,它结合了概念能力的概念角色模型和确定语义内容的合理化方法。我的第一个目标是展示这个概念模型如何有潜力为先验真理和证明奠定基础。我的第二个目标是展示模型如何涉及关于概念的有问题的承诺,这可以在概念的另一种关系模型上避免。
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引用次数: 0
期刊
Inquiry-An Interdisciplinary Journal of Philosophy
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