Automatic Authorities: Power and AI
–arXiv.org Artificial Intelligence
Forthcoming in Collaborative Intelligence: How Humans and AI are Transforming our World, Arathi Sethumadhavan and Mira Lane (eds.), Seth Lazar, Australian National University Man, a child in understanding of himself, has placed in his hands physical tools of incalculable power. He plays with them like a child, and whether they work harm or good is largely a matter of accident. The instrumentality becomes a master and works fatally as if possessed of a will of its own-- not because it has a will but because man has not. Introduction As rapid advances in Artificial Intelligence and the rise of some of history's most potent corporations meet the diminished neoliberal state, people are increasingly subject to power exercised by means of automated systems. Machine learning, big data, and related computational technologies now underpin vital government services from criminal justice to tax auditing, public health to social services, immigration to defence (Citron, 2008; Calo and Citron, 2020; Engstrom et al., 2020). Google and Amazon connect consumers and producers in new algorithmic markets (Nadler and Cicilline, 2020). Google's search algorithm--and possibly in the near future OpenAI's GPT-4 or another large language model--determines, for many, how they find out about everything from how to vote to where to get vaccinated. Meta, Twitter, TikTok, Google and others algorithmically decide whose speech is amplified, reduced, or restricted (Vaidhyanathan, 2011; Pasquale, 2015; Gillespie, 2018; Suzor, 2019). And a new wave of products based on rapid advances in Large Language Models (LLMs) have the potential to further transform our economic and political lives. Automatic Authorities are automated computational systems used to exercise power over us by substantially determining what we may know, what we may have, and what our options will be. This chapter is based on, and substantially revises, my'Power and AI: Nature and Justification', in the Oxford Handbook of AI Governance (Justin Bullock et al., eds). My thanks to the publisher for their permission to use this material. But what normative lessons should we draw from these analyses? Power is everywhere, and is not necessarily bad.
arXiv.org Artificial Intelligence
Apr-8-2024
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