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"Externalism" emphasizes the development of AI machines based on the ethical norms formulated by humans, while "internalism" highlights the self-learning ability of AI machines to form the moral consciousness of machine subjects independent of humans. By introducing the essential differences between artificial intelligence machine ethics and human ethics, this paper reveals the aesthetic implications contained in the human ethical world, that is, the beauty and aesthetic sense leading to moral consciousness cannot be simulated and stratified, and the organic life and aesthetic judgment forming moral consciousness cannot be restored. The subject moral consciousness of AI machine cannot be produced and the AI machine ethics driven by the principle of utilitarianism cannot lead to the conclusion of the meaning world of human ethics. The moral intentionality of artificial intelligence is the result of formal logic deduction, artificial intelligence machine lacks "embodiment", cannot engage in perceptual practice activities nor produce emotional consciousness, and its cognitive mode belongs to a single reductionism. Therefore, artificial intelligence machines cannot generate beauty value independently, so the "internal approach" of its governance is also an extension and expansion of the "externalism" approach., authors=XIE Jing1,2 , authorsList=XIE Jing, authorCompany=1. School of Marxism, Heilongjiang University, Harbin 150080, China; 2. 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科技导报
| 科技人文 2024, 42(8): 120-128
机器主体道德意识能否产生:人工智能机器伦理治理的“内在进路”探析
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谢静1,2
作者信息
1. 黑龙江大学马克思主义学院, 哈尔滨 150080; 2. 黑龙江大学马克思主义理论博士后科研流动站, 哈尔滨 150080
Whether the machine subject moral consciousness can be generated: The "internal approach" of the artificial intelligence machine ethical governance
Affiliations
出版时间: 2024-04-28
doi: 10.3981/j.issn.1000-7857.2023.03.00366
文章导航
人工智能机器伦理治理的进路主要有“外在主义”和“内在主义”2种,“外在主义”强调以人类制定的伦理准则规约人工智能机器的发展,而“内在主义”则突出人工智能机器的自学习能力,以形成独立于人类的机器主体道德意识。通过介绍人工智能机器伦理与属人的伦理的本质区别,揭示了属人的伦理世界包含着的审美性意涵,即通往道德意识的美与美感无法被模拟与分层,形成道德意识的有机生命与审美判断力无法被还原,从而推理出人工智能机器的主体道德意识无法产生,得出在功利主义原则驱动下的人工智能机器伦理不能通往人类伦理意义世界的结论。人工智能的道德意向性是形式逻辑推演的结果,人工智能机器缺乏“具身”,不能从事感性实践活动并产生情感意识,其认知模式属于单一的还原论。因此,人工智能机器不能自主生成美善价值,故其治理的“内在进路”也是“外在主义”进路的延伸与扩展。
人工智能机器
/
内在进路
/
外在进路
/
美善价值
There are two approaches to the ethical governance of AI machines: "externalism" and "internalism". "Externalism" emphasizes the development of AI machines based on the ethical norms formulated by humans, while "internalism" highlights the self-learning ability of AI machines to form the moral consciousness of machine subjects independent of humans. By introducing the essential differences between artificial intelligence machine ethics and human ethics, this paper reveals the aesthetic implications contained in the human ethical world, that is, the beauty and aesthetic sense leading to moral consciousness cannot be simulated and stratified, and the organic life and aesthetic judgment forming moral consciousness cannot be restored. The subject moral consciousness of AI machine cannot be produced and the AI machine ethics driven by the principle of utilitarianism cannot lead to the conclusion of the meaning world of human ethics. The moral intentionality of artificial intelligence is the result of formal logic deduction, artificial intelligence machine lacks "embodiment", cannot engage in perceptual practice activities nor produce emotional consciousness, and its cognitive mode belongs to a single reductionism. Therefore, artificial intelligence machines cannot generate beauty value independently, so the "internal approach" of its governance is also an extension and expansion of the "externalism" approach.
artificial intelligence machine
/
internal approach
/
external approach
/
beauty value
谢静.
机器主体道德意识能否产生:人工智能机器伦理治理的“内在进路”探析.
科技导报,
2024
, 42
(8)
: 120
-128
.
DOI: 10.3981/j.issn.1000-7857.2023.03.00366
XIE Jing.
Whether the machine subject moral consciousness can be generated: The "internal approach" of the artificial intelligence machine ethical governance[J].
Science & Technology Review ,
2024
, 42
(8)
: 120
-128
.
DOI: 10.3981/j.issn.1000-7857.2023.03.00366
2024年第42卷第8期
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文章信息
doi: 10.3981/j.issn.1000-7857.2023.03.00366
接收时间:2023-03-08
首发时间:2024-05-22
出版时间:2024-04-28
收稿日期:2023-03-08
修回日期:2024-04-01
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2023.03.00366
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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