Abstract
Numerous parties are calling for the democratisation of AI, but the phrase is used to refer to a variety of goals, the pursuit of which sometimes conflict. This paper identifies four kinds of AI democratisation that are commonly discussed: (1) the democratisation of AI use, (2) the democratisation of AI development, (3) the democratisation of AI profits, and (4) the democratisation of AI governance. Numerous goals and methods of achieving each form of democratisation are discussed. The main takeaway from this paper is that AI democratisation is a multifarious and sometimes conflicting concept that should not be conflated with improving AI accessibility. If we want to move beyond ambiguous commitments to democratising AI, to productive discussions of concrete policies and trade-offs, then we need to recognise the principal role of the democratisation of AI governance in navigating tradeoffs and risks across decisions around use, development, and profits.
Abstract (translated)
"许多政党呼吁民主化人工智能,但这个词通常用于指称多种目标,这些目标的实现有时会引起冲突。本文识别了常被人讨论的四种人工智能民主化形式:(1) 民主化人工智能使用,(2) 民主化人工智能发展,(3) 民主化人工智能利润,(4) 民主化人工智能治理。探讨了每个形式的民主化目标和方法。本文的主要结论是,人工智能民主化是一个复杂且有时存在冲突的概念,不应与提高人工智能可用性混淆。如果我们想要超越含糊不清的人工智能民主化承诺,走向具体的政策和权衡的讨论,那么我们需要认识到民主化人工智能治理在处理使用、发展和利润等决策中的主要功能。
URL
https://arxiv.org/abs/2303.12642
