Resisting AI: a conceptual framework for practices of resistance against artificial intelligence in the creative industries

IF 6.1 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Daniel Vasconcelos
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引用次数: 0

Abstract

We have witnessed a burgeoning debate on the nature of AI creativity and its implications for the creative industries, particularly in relation to labour dynamics. However, even though we can find critical studies on AI and creative work, more research is needed to investigate, empirically or conceptually, the sources, methods, and forms of resistance against AI in the creative industries. By pivoting the reference of analysis to concentrate on the agency of workers in accepting, resisting, and navigating these technologies, this paper brings a novel conceptualisation of everyday work practices of resistance against AI through the qualitative investigation of 30 artists and designers in Greater Melbourne, Australia, between 2022 and 2024. Building on resistance theory, I propose to re-position the AI-labour debate towards the forms of everyday resistance creative workers employ to avoid, break, and construct discourses against AI. More specifically, I demonstrate how valuing imperfections and reviving the analogue, amongst other practices, are transformed into acts of resistance against the extractive modes of production and the ideology of frictionlessness that AI catalyses in the creative industries. This article shows that uncovering, explaining, and conceptualising resistance is an important step to further unpack the political economy of Artificial Intelligence.

抵制人工智能:创意产业中抵制人工智能实践的概念框架
我们目睹了一场关于人工智能创造力的本质及其对创意产业的影响的激烈辩论,特别是在劳动力动态方面。然而,即使我们可以找到关于人工智能和创造性工作的批判性研究,也需要更多的研究来调查,从经验或概念上,在创意产业中对人工智能的抵制的来源、方法和形式。通过将分析的参考转向集中在工人接受、抵制和驾驭这些技术的代理上,本文通过对2022年至2024年间澳大利亚大墨尔本30位艺术家和设计师的定性调查,对抵制人工智能的日常工作实践提出了一个新的概念。在抵抗理论的基础上,我建议将人工智能-劳动辩论重新定位为创造性工人为避免、打破和构建反对人工智能的话语而采用的日常抵抗形式。更具体地说,我展示了在其他实践中,如何重视不完善和恢复类似物,转化为抵抗人工智能在创意产业中催化的提取生产模式和无摩擦意识形态的行为。这篇文章表明,揭示、解释和概念化抵制是进一步解开人工智能政治经济学的重要一步。
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来源期刊
AI & Society
AI & Society COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
8.00
自引率
20.00%
发文量
257
期刊介绍: AI & Society: Knowledge, Culture and Communication, is an International Journal publishing refereed scholarly articles, position papers, debates, short communications, and reviews of books and other publications. Established in 1987, the Journal focuses on societal issues including the design, use, management, and policy of information, communications and new media technologies, with a particular emphasis on cultural, social, cognitive, economic, ethical, and philosophical implications. AI & Society has a broad scope and is strongly interdisciplinary. We welcome contributions and participation from researchers and practitioners in a variety of fields including information technologies, humanities, social sciences, arts and sciences. This includes broader societal and cultural impacts, for example on governance, security, sustainability, identity, inclusion, working life, corporate and community welfare, and well-being of people. Co-authored articles from diverse disciplines are encouraged. AI & Society seeks to promote an understanding of the potential, transformative impacts and critical consequences of pervasive technology for societies. Technological innovations, including new sciences such as biotech, nanotech and neuroscience, offer a great potential for societies, but also pose existential risk. Rooted in the human-centred tradition of science and technology, the Journal acts as a catalyst, promoter and facilitator of engagement with diversity of voices and over-the-horizon issues of arts, science, technology and society. AI & Society expects that, in keeping with the ethos of the journal, submissions should provide a substantial and explicit argument on the societal dimension of research, particularly the benefits, impacts and implications for society. This may include factors such as trust, biases, privacy, reliability, responsibility, and competence of AI systems. Such arguments should be validated by critical comment on current research in this area. Curmudgeon Corner will retain its opinionated ethos. The journal is in three parts: a) full length scholarly articles; b) strategic ideas, critical reviews and reflections; c) Student Forum is for emerging researchers and new voices to communicate their ongoing research to the wider academic community, mentored by the Journal Advisory Board; Book Reviews and News; Curmudgeon Corner for the opinionated. Papers in the Original Section may include original papers, which are underpinned by theoretical, methodological, conceptual or philosophical foundations. The Open Forum Section may include strategic ideas, critical reviews and potential implications for society of current research. Network Research Section papers make substantial contributions to theoretical and methodological foundations within societal domains. These will be multi-authored papers that include a summary of the contribution of each author to the paper. Original, Open Forum and Network papers are peer reviewed. The Student Forum Section may include theoretical, methodological, and application orientations of ongoing research including case studies, as well as, contextual action research experiences. Papers in this section are normally single-authored and are also formally reviewed. Curmudgeon Corner is a short opinionated column on trends in technology, arts, science and society, commenting emphatically on issues of concern to the research community and wider society. Normal word length: Original and Network Articles 10k, Open Forum 8k, Student Forum 6k, Curmudgeon 1k. The exception to the co-author limit of Original and Open Forum (4), Network (10), Student (3) and Curmudgeon (2) articles will be considered for their special contributions. Please do not send your submissions by email but use the "Submit manuscript" button. NOTE TO AUTHORS: The Journal expects its authors to include, in their submissions: a) An acknowledgement of the pre-accept/pre-publication versions of their manuscripts on non-commercial and academic sites. b) Images: obtain permissions from the copyright holder/original sources. c) Formal permission from their ethics committees when conducting studies with people.
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