Towards Sustainability of AI – Identifying Design Patterns for Sustainable Machine Learning Development

IF 6.9 3区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information Systems Frontiers Pub Date : 2024-09-16 DOI:10.1007/s10796-024-10526-6

Daniel Leuthe, Tim Meyer-Hollatz, Tobias Plank, Anja Senkmüller

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Abstract

As artificial intelligence (AI) and machine learning (ML) advance, concerns about their sustainability impact grow. The emerging field "Sustainability of AI" addresses this issue, with papers exploring distinct aspects of ML’s sustainability. However, it lacks a comprehensive approach that considers all ML development phases, treats sustainability holistically, and incorporates practitioner feedback. In response, we developed the sustainable ML design pattern matrix (SML-DPM) consisting of 35 design patterns grounded in justificatory knowledge from research, refined with naturalistic insights from expert interviews and validated in three real-world case studies using a web-based instantiation. The design patterns are structured along a four-phased ML development process, the sustainability dimensions of environmental, social, and governance (ESG), and allocated to five ML stakeholder groups. It represents the first artifact to enhance each ML development phase along each ESG dimension. The SML-DPM fuels advancement by aggregating distinct research, laying the groundwork for future investigations, and providing a roadmap for sustainable ML development.

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实现人工智能的可持续性--确定可持续机器学习开发的设计模式

随着人工智能（AI）和机器学习（ML）的发展，人们越来越关注它们对可持续发展的影响。新兴领域 "人工智能的可持续性"（Sustainability of AI）正致力于解决这一问题，其论文探讨了 ML 可持续性的不同方面。然而，该领域缺乏一种全面的方法，能够考虑到所有 ML 开发阶段，从整体上处理可持续性问题，并纳入实践者的反馈意见。为此，我们开发了可持续人工智能设计模式矩阵（SML-DPM），由 35 种设计模式组成，这些模式以研究中的合理性知识为基础，结合专家访谈中的自然主义见解加以改进，并使用基于网络的实例在三个真实世界案例研究中进行了验证。这些设计模式按照四个阶段的 ML 开发流程、环境、社会和治理（ESG）的可持续性维度进行构建，并分配给五个 ML 利益相关者群体。它是第一个按照每个 ESG 维度加强每个 ML 开发阶段的工具。SML-DPM 通过汇总不同的研究成果，为未来的研究奠定基础，并为可持续的 ML 发展提供路线图，从而推动研究的进展。

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来源期刊

Information Systems Frontiers 工程技术-计算机：理论方法

CiteScore

13.30

自引率

18.60%

发文量

127

审稿时长

9 months

期刊介绍： The interdisciplinary interfaces of Information Systems (IS) are fast emerging as defining areas of research and development in IS. These developments are largely due to the transformation of Information Technology (IT) towards networked worlds and its effects on global communications and economies. While these developments are shaping the way information is used in all forms of human enterprise, they are also setting the tone and pace of information systems of the future. The major advances in IT such as client/server systems, the Internet and the desktop/multimedia computing revolution, for example, have led to numerous important vistas of research and development with considerable practical impact and academic significance. While the industry seeks to develop high performance IS/IT solutions to a variety of contemporary information support needs, academia looks to extend the reach of IS technology into new application domains. Information Systems Frontiers (ISF) aims to provide a common forum of dissemination of frontline industrial developments of substantial academic value and pioneering academic research of significant practical impact.