人工智能与道德:一种社会责任

A. Kanade, Sachin Bhoite, Shantanu Kanade, Niraj Jain
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引用次数: 0

摘要

全球和科技都比以往任何时候都发展得更快。随着人工智能的应用越来越广泛,人工智能的设计和算法正受到质疑,引发了道德和伦理问题。我们在各种行业中使用人工智能来提高技能、服务和绩效。因此,它既有支持者,也有反对者。人工智能使用给定的数据集合来获得行动或知识。因此,它总是有可能包含一些不准确的信息。由于人工智能是由科学家和工程师创造的,它总是会出现问责制、责任和系统可靠性等问题。人工智能在经济发展、社会进步、人类安全保障等方面具有巨大潜力。
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Artificial Intelligence and Morality: A Social Responsibility
Both the globe and technology are growing more quickly than ever. Artificial intelligence's design and algorithm are being called into question as its deployment becomes more widespread, raising moral and ethical issues. We use artificial intelligence in a variety of industries to improve skill, service, and performance. Hence, it has both proponents and opponents. AI uses a given collection of data to derive action or knowledge. There is therefore always a chance that it will contain some inaccurate information. Since artificial intelligence is created by scientists and engineers, it will always present issues with accountability, responsibility, and system reliability. There is great potential for economic development, societal advancement, and improved human security and safety thanks to artificial intelligence.
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来源期刊
CiteScore
2.00
自引率
11.10%
发文量
0
审稿时长
8 weeks
期刊介绍: The Journal of Intelligence Studies in Business (JISIB) is a double blinded peer reviewed open access journal published by Halmstad University, Sweden. Its mission is to help facilitate and publish original research, conference proceedings and book reviews. The journal includes articles within areas such as Competitive Intelligence, Business Intelligence, Market Intelligence, Scientific and Technical Intelligence, Collective Intelligence and Geo-economics. This means that the journal has a managerial as well as an applied technical side (Information Systems), as these are now well integrated in real life Business Intelligence solutions. By focusing on business applications the journal do not compete directly with journals of Library Sciences or State or Military Intelligence Studies. Topics within the selected study areas should show clear practical implications.
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