Aliens in the Space of Reasons? On the Interaction Between Humans and Artificial Intelligent Agents

被引：0

作者：

Heinrichs B. ^{[1
,2
]}

Knell S. ^{[2
]}

机构：

[1] Institute of Neurosciences and Medicine: Ethics in the Neurosciences (INM-8), Forschungszentrum Jülich, Jülich

[2] Institute of Science and Ethics (IWE), Rheinische Friedrich-Wilhelms-Universität Bonn, Bonner Talweg 57, Bonn

来源：

Philosophy & Technology | 2021年 / 34卷 / 4期

关键词：

Artificial intelligent agents; Ethics; Human–machine interaction; Responsibility; Space of reasons;

D O I：

10.1007/s13347-021-00475-2

中图分类号：

学科分类号：

摘要：

In this paper, we use some elements of the philosophical theories of Wilfrid Sellars and Robert Brandom for examining the interactions between humans and machines. In particular, we adopt the concept of the space of reasons for analyzing the status of artificial intelligent agents (AIAs). One could argue that AIAs, like the widely used recommendation systems, have already entered the space of reasons, since they seem to make knowledge claims that we use as premises for further claims. This, in turn, can lead to a sense of alienation because AIAs do not quite play by the rules of the space of the reason. We, therefore, ask somewhat pointedly whether aliens have entered the space of reasons. A closer look reveals that it is a misconception to consider AIAs as being (already) in the space of reasons. In fact, they should be seen as very sophisticated tools. Since these tools affect our own acting in the space of reasons, special regulations are required for their proper use. © 2021, The Author(s).

引用

页码：1569 / 1580

页数：11

共 18 条

[1]

Brandom R.B., Making it explicit. Reasoning, representing, and discursive commitment, (1994)

[2]

Brandom R.B., Knowledge and the social articulation of the space of reasons, Philosophy and Phenomenological Research, 55, 4, pp. 895-908, (1995)

[3]

Brandom R.B., Between saying and doing, (2008)

[4]

Esteva A., Et al., Dermatologist-level classification of skin cancer with deep neural networks, Nature, 542, pp. 115-118, (2017)

[5]

Floridi L., The ethics of information, (2013)

[6]

Heinrichs B., Eickhoff S.B., Your evidence? Machine learning algorithms for medical diagnosis and prediction, Human Brain Mapping, 41, pp. 1435-1444, (2020)

[7]

Huq P., (2019)

[8]

Hsu F.-H., Behind Deep Blue: Building the computer that defeated the world chess champion, (2004)

[9]

LeCun Y., Bengio Y., Hinton G., Deep learning, Nature, 521, pp. 436-444, (2015)

[10]

McDowell J., Mind and world, (1994)

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