信息系统设计的目的论方法

IF 4.2 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Mattia Fumagalli, Roberta Ferrario, Giancarlo Guizzardi
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引用次数: 0

摘要

近年来,信息系统的设计和生产有了显著增长。然而,这些信息人工制品往往表现出一些有损其可靠性的特征。这个问题似乎源于信息系统设计(ISD)应用中对某些关键方面的忽视或低估。例如,当这些产品不能正常工作或工作不正确时,往往很难证明(可证伪性);它们的使用往往取决于主观经验和任意选择(趣闻轶事);它们的功能对于用户和设计者来说往往模糊不清(可解释性)。在本文中,我们提出了一种以著名的信息理论(即远程信息理论)为基础的方法,可用于支持信息系统的分析和重新(设计)。这种方法强调设计和验证过程必须建立在四个核心组成部分之间的依赖关系上:生产者(或设计者)、生产(或使用)的信息系统、消费者(或用户)和设计(或使用)目的。我们分析了单独考虑这些组成部分的模糊性和问题。然后,我们介绍了通过目的论方法将它们结合起来的一些可能方式。此外,我们还讨论了防止综合服务部未能解决关键问题的指导原则。最后,我们讨论了现有信息技术的应用前景,以及对可解释人工智能和基础设施服务部门的一些影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Teleological Approach to Information Systems Design

A Teleological Approach to Information Systems Design

In recent years, the design and production of information systems have seen significant growth. However, these information artefacts often exhibit characteristics that compromise their reliability. This issue appears to stem from the neglect or underestimation of certain crucial aspects in the application of Information Systems Design (ISD). For example, it is frequently difficult to prove when one of these products does not work properly or works incorrectly (falsifiability), their usage is often left to subjective experience and somewhat arbitrary choices (anecdotes), and their functions are often obscure for users as well as designers (explainability). In this paper, we propose an approach that can be used to support the analysis and re-(design) of information systems grounded on a well-known theory of information, namely, teleosemantics. This approach emphasizes the importance of grounding the design and validation process on dependencies between four core components: the producer (or designer), the produced (or used) information system, the consumer (or user), and the design (or use) purpose. We analyze the ambiguities and problems of considering these components separately. We then present some possible ways in which they can be combined through the teleological approach. Also, we debate guidelines to prevent ISD from failing to address critical issues. Finally, we discuss perspectives on applications over real existing information technologies and some implications for explainable AI and ISD.

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来源期刊
Minds and Machines
Minds and Machines 工程技术-计算机:人工智能
CiteScore
12.60
自引率
2.70%
发文量
30
审稿时长
>12 weeks
期刊介绍: Minds and Machines, affiliated with the Society for Machines and Mentality, serves as a platform for fostering critical dialogue between the AI and philosophical communities. With a focus on problems of shared interest, the journal actively encourages discussions on the philosophical aspects of computer science. Offering a global forum, Minds and Machines provides a space to debate and explore important and contentious issues within its editorial focus. The journal presents special editions dedicated to specific topics, invites critical responses to previously published works, and features review essays addressing current problem scenarios. By facilitating a diverse range of perspectives, Minds and Machines encourages a reevaluation of the status quo and the development of new insights. Through this collaborative approach, the journal aims to bridge the gap between AI and philosophy, fostering a tradition of critique and ensuring these fields remain connected and relevant.
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