Mattia Fumagalli, Roberta Ferrario, Giancarlo Guizzardi
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In this paper, we propose an approach that can be used to support the <i>analysis</i> and <i>re-(design)</i> of information systems grounded on a well-known theory of information, namely, <i>teleosemantics</i>. This approach emphasizes the importance of grounding the design and validation process on dependencies between four core components: the <i>producer (or designer)</i>, the <i>produced (or used) information system</i>, the <i>consumer (or user)</i>, and the <i>design (or use) purpose</i>. 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.</p>","PeriodicalId":51133,"journal":{"name":"Minds and Machines","volume":"89 1","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Teleological Approach to Information Systems Design\",\"authors\":\"Mattia Fumagalli, Roberta Ferrario, Giancarlo Guizzardi\",\"doi\":\"10.1007/s11023-024-09673-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In recent years, the design and production of information systems have seen significant growth. However, these <i>information artefacts</i> 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 <i>Information Systems Design (ISD)</i>. For example, it is frequently difficult to prove when one of these products does not work properly or works incorrectly (<i>falsifiability</i>), their usage is often left to subjective experience and somewhat arbitrary choices (<i>anecdotes</i>), and their functions are often obscure for users as well as designers (<i>explainability</i>). In this paper, we propose an approach that can be used to support the <i>analysis</i> and <i>re-(design)</i> of information systems grounded on a well-known theory of information, namely, <i>teleosemantics</i>. This approach emphasizes the importance of grounding the design and validation process on dependencies between four core components: the <i>producer (or designer)</i>, the <i>produced (or used) information system</i>, the <i>consumer (or user)</i>, and the <i>design (or use) purpose</i>. 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.</p>\",\"PeriodicalId\":51133,\"journal\":{\"name\":\"Minds and Machines\",\"volume\":\"89 1\",\"pages\":\"\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2024-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Minds and Machines\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s11023-024-09673-1\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Minds and Machines","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s11023-024-09673-1","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
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.
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.