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关于生态系统人工智能的论证:阐明前人类与后人类智能之间的联系

An Argument for an Ecosystemic AI: Articulating Connections across Prehuman and Posthuman Intelligences.

作者信息

Hg Solomon Lucy, Baio Cesar

机构信息

Department of Art, Media, and Design, California State University San Marcos, 333 S. Twin Oaks Valley Road, San Marcos, CA 92096 USA.

Department of Multimedia, Media and Communication, Universidade Estadual de Campinas, Cidade Universitária Zeferino Vaz - Barão Geraldo, Campinas, SP 13083-970 Brazil.

出版信息

Int J Community Wellbeing. 2020;3(4):559-584. doi: 10.1007/s42413-020-00092-5. Epub 2020 Nov 9.

DOI:10.1007/s42413-020-00092-5
PMID:34723110
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7649898/
Abstract

As an art collective Cesar & Lois develops projects that examine sociotechnical systems, attempting to challenge anthropocentric technological pathways while linking to intelligences sourced in biological circuitry. As artists we imagine new configurations for what we understand as (social, economic, technological) networks and intelligences. With this ecosystemic approach we consider the possibility of an artificial intelligence (AI) that supports well-being in a broad sense, accommodating relationships across different layers of living worlds and involving local and global communities of all kinds. This thinking is grounded in research by theorists across disciplines, including communications and media theory, microbiology, anthropology, decolonial studies, social ecology, sociology and environmental psychology. At a time when human beings and their ecosystems face grave threats due to climate change and a global pandemic, we are rethinking the basis for our AIs, and for the resulting decision-making on behalf of societies and ecosystems. Creative projects by Cesar & Lois provide alternative conceptual models for thinking across networks, reframing the artists' and potentially viewers' understanding of what motivates and shapes societies. Referencing a series of artworks and the theories that underpin them, this article envisages a sociotechnical framework that takes into account ecosystems and challenges the philosophical orientations that guide society. is an artwork in which the artists overlap microbiological organisms, AI and human systems as a speculative restructuring of networks across human and nonhuman entities. The push for ecosystemic technologies and intelligences is linked to the expansion of to include planetary constituents, such as nonhuman beings and environments. The artists posit that such ecosystemic networks would be capable of taking into account the planet's human societies as well as nonhuman species and their environments, broadening the concept of community well-being and shifting the technological architecture to meet the complex needs of the planet and its constituent parts. The experimental series, , layers , or slime mold, over the mapped demographics of human cities. The species references multi-brains, and implies a decentralized logic, which for the non-neurological microbiological network translates to the sharing of nutrients and regulated growth across a culture. Assuming a perspective based in the arts, this proposition imagines a shift from the dominant conceptions of AI as an individual intelligence and frames it as part of a network that necessarily includes ecosystems. We envision the creation of sociotechnical systems that could be modeled on networked lifeforms that have optimized themselves across millions of years, like the organism , which occurs globally in moist environments, or like those microbial populations within and outside of human bodies, whose percussive biological processing interacts with and alters many layers of lifeforms.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0600/7649898/2481da6a4114/42413_2020_92_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0600/7649898/75dd84e4c6ca/42413_2020_92_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0600/7649898/aec68b0686ce/42413_2020_92_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0600/7649898/2481da6a4114/42413_2020_92_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0600/7649898/75dd84e4c6ca/42413_2020_92_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0600/7649898/aec68b0686ce/42413_2020_92_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0600/7649898/2481da6a4114/42413_2020_92_Fig3_HTML.jpg
摘要

作为一个艺术团体,塞萨尔与洛伊丝开展了一系列审视社会技术系统的项目,试图挑战以人类为中心的技术路径,同时与源自生物电路的智能建立联系。作为艺术家,我们为我们所理解的(社会、经济、技术)网络和智能设想新的配置。通过这种生态系统方法,我们思考了一种广义上支持福祉的人工智能的可能性,这种人工智能能适应不同生命世界层次之间的关系,并涉及各种地方和全球社区。这种思考基于跨学科理论家的研究,包括通信和媒体理论、微生物学、人类学、后殖民研究、社会生态学、社会学和环境心理学。在人类及其生态系统因气候变化和全球大流行而面临严峻威胁的时代,我们正在重新思考我们人工智能的基础,以及由此代表社会和生态系统做出的决策。塞萨尔与洛伊丝的创意项目为跨网络思考提供了替代概念模型,重新构建了艺术家以及潜在观众对推动和塑造社会因素的理解。本文参考了一系列艺术作品及其背后的理论,设想了一个考虑生态系统并挑战指导社会的哲学取向的社会技术框架。《》是一件艺术作品,在其中艺术家将微生物有机体、人工智能和人类系统重叠在一起,作为对跨越人类和非人类实体的网络的一种推测性重组。对生态系统技术和智能的推动与《》的扩展相关联,以将行星成分包括在内,如非人类生物和环境。艺术家们认为,这样的生态系统网络将能够考虑到地球上的人类社会以及非人类物种及其环境,拓宽社区福祉的概念,并改变技术架构以满足地球及其组成部分的复杂需求。实验系列《》将多头绒泡菌,即黏液霉菌,覆盖在人类城市的人口统计地图上。多头绒泡菌这一物种涉及多脑概念,并暗示一种去中心化逻辑,对于非神经学的微生物网络而言,这意味着在一种培养物中营养物质的共享和生长的调节。从艺术的角度出发,这一命题设想从将人工智能视为个体智能的主导观念转变,并将其构建为必然包括生态系统的网络的一部分。我们设想创建可以仿照经过数百万年自我优化的网络生命形式构建的社会技术系统,比如在全球潮湿环境中出现的多头绒泡菌这种有机体,或者像人体内外的微生物群体,其冲击性的生物过程与许多生命形式层相互作用并改变它们。

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