数据政治的民主侵蚀:去中心化网络3 人工智能颠覆下的技术范式转变

Igor Calzada
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摘要

本文研究了被称为 "数据垄断 "的数据垄断的复杂动态及其对民主侵蚀的影响。数据垄断通常由大型科技公司体现,它们积累了大量的数据集,为其提供了巨大的影响力。在人工智能(AI)颠覆性发展的背景下,这种数据实践的可持续性在去中心化的 Web3 技术中得到了批判性的审视。此外,文章还探讨了抗衡数据垄断的解放性数据化战略。文章深入分析了去中心化 Web3 新兴领域中出现的两种现象:以人为本的智能城市和数据化的网络国家。文章探讨了数据治理模式的转变,倡导共同努力建立公平的数据生态系统,重点是优先考虑数据主权和实现数字自治。文章阐明了(i)区块链、(ii)去中心化自治组织(DAOs)和(iii)数据合作社在增强公民对其个人数据的控制权方面的显著作用。最后,文章对 Web3 的去中心化技术进行了前瞻性研究,勾勒出一条通往更加透明、包容和解放的数据驱动型民主的及时之路。这种方法挑战了数据垄断的主导地位,为通过去中心化和新兴的 Web3 技术再生数据化民主提供了一个框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Democratic Erosion of Data-Opolies: Decentralized Web3 Technological Paradigm Shift Amidst AI Disruption
This article investigates the intricate dynamics of data monopolies, referred to as “data-opolies”, and their implications for democratic erosion. Data-opolies, typically embodied by large technology corporations, accumulate extensive datasets, affording them significant influence. The sustainability of such data practices is critically examined within the context of decentralized Web3 technologies amidst Artificial Intelligence (AI) disruption. Additionally, the article explores emancipatory datafication strategies to counterbalance the dominance of data-opolies. It presents an in-depth analysis of two emergent phenomena within the decentralized Web3 emerging landscape: People-Centered Smart Cities and Datafied Network States. The article investigates a paradigm shift in data governance and advocates for joint efforts to establish equitable data ecosystems, with an emphasis on prioritizing data sovereignty and achieving digital self-governance. It elucidates the remarkable roles of (i) blockchain, (ii) decentralized autonomous organizations (DAOs), and (iii) data cooperatives in empowering citizens to have control over their personal data. In conclusion, the article introduces a forward-looking examination of Web3 decentralized technologies, outlining a timely path toward a more transparent, inclusive, and emancipatory data-driven democracy. This approach challenges the prevailing dominance of data-opolies and offers a framework for regenerating datafied democracies through decentralized and emerging Web3 technologies.
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