技术和道德健全的人工智能框架

Duncan C. McElfresh
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引用次数: 0

摘要

人工智能(AI)伦理学绝不是一门新学科;像阿西莫夫和菲利普·K·迪克这样的思想家几十年前就为这一领域奠定了基础。无论是当时还是今天,人工智能伦理中的流行困境主要集中在人工意识、人工通用智能、自主武器和某种版本的电车问题上。虽然这些思想实验可能在未来被证明是有用的,但今天使用的现代人工智能应用引发了需要紧急解决的伦理困境。公众对人工智能在医疗保健、刑事司法和就业领域的反应强烈,突显了此事的紧迫性。人工智能带来的这些现实和迫在眉睫的伦理挑战构成了我论文研究的基础。我特别关注人工智能是必要或不可避免的领域——比如肾脏交换和医学图像分类——道德挑战是不可避免的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Framework for Technically- and Morally-Sound AI
Artificial Intelligence (AI) ethics is by no means a new discipline; thinkers like Asimov and Philip K Dick laid the foundations of this field decades ago. Both then and today, popular dilemmas in AI ethics largely focus on artificial consciousness, artificial general intelligence, autonomous weapons, and some version of the trolley problem. While these thought experiments may prove useful in the future, modern AI applications that are in use today raise ethical dilemmas that require urgent resolution. Public outcry in response to AI in health care, criminal justice, and employment highlight the urgency of the matter. These real and imminent ethical challenges posed by AI form the basis of my dissertation research. In particular, I focus on domains where AI is necessary or inevitable -- such as kidney exchange and medical image classification -- and ethical challenges are unavoidable.
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