Big Data, AI, and the Pleasures of Engineering

被引：1

作者：

Kuhn, Michael ^{[1
]}

机构：

[1] Tech Univ Munich, Lehrstuhl Syst Verfahrenstech, Gregor Mendel Str 4, D-85354 Freising Weihenstephan, Germany

来源：

CHEMIE INGENIEUR TECHNIK | 2021年 / 93卷 / 03期

关键词：

Digitalization; Ethics; Industry; 4.0; Machine learning; Philosophy;

D O I：

10.1002/cite.202000221

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

In this provocative contribution, the consequences of Big Data and AI for the engineering sciences are critically explored. Big Data and AI are characterized by intransparency and their potential to surprise. With these characteristics, however, the pleasures of designing technology vanish and the appeal of the discipline declines. Against this, it is argued for a transparent and human technology development which is joyful and also facilitates taking responsibility. The presented argument is at its core a philosophical one, motivated by the conviction that philosophy can contribute importantly to technology.

引用

页码：364 / 372

页数：9

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