Why and how is the power of Big Tech increasing in the policy process? The case of generative AI

过程(计算) 生成语法 功率(物理) 大数据 政治学 社会学 经济 实证经济学 认识论 计算机科学 人工智能 数据挖掘 量子力学 操作系统 物理 哲学
作者
Shaleen Khanal,Hongzhou Zhang,Araz Taeihagh
出处
期刊:Policy and Society [Elsevier BV]
卷期号:44 (1): 52-69 被引量:60
标识
DOI:10.1093/polsoc/puae012
摘要

Abstract The growing digitalization of our society has led to a meteoric rise of large technology companies (Big Tech), which have amassed tremendous wealth and influence through their ownership of digital infrastructure and platforms. The recent launch of ChatGPT and the rapid popularization of generative artificial intelligence (GenAI) act as a focusing event to further accelerate the concentration of power in the hands of the Big Tech. By using Kingdon’s multiple streams framework, this article investigates how Big Tech utilize their technological monopoly and political influence to reshape the policy landscape and establish themselves as key actors in the policy process. It explores the implications of the rise of Big Tech for policy theory in two ways. First, it develops the Big Tech-centric technology stream, highlighting the differing motivations and activities from the traditional innovation-centric technology stream. Second, it underscores the universality of Big Tech exerting ubiquitous influence within and across streams, to primarily serve their self-interests rather than promote innovation. Our findings emphasize the need for a more critical exploration of policy role of Big Tech to ensure balanced and effective policy outcomes in the age of AI.
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