Artificial intelligence (AI) has driven many information and communication technology (ICT) breakthroughs. Nonetheless, the scope of ICT systems has expanded far beyond AI since the Turing test proposal. Critically, recent AI regulation proposals adopt AI definitions affecting ICT techniques, approaches, and systems that are not AI. In some cases, even works from mathematics, statistics, and engineering would be affected. Worryingly, AI misdefinitions are observed from Western societies to the Global South. In this paper, we propose a framework to score how validated as appropriately-defined for regulation (VADER) an AI definition is. Our online, publicly-available VADER framework scores the coverage of premises that should underlie AI definitions for regulation, which aim to (i) reproduce principles observed in other successful technology regulations, and (ii) include all AI techniques and approaches while excluding non-AI works. Regarding the latter, our score is based on a dataset of representative AI, non-AI ICT, and non-ICT examples. We demonstrate our contribution by reviewing the AI regulation proposals of key players, namely the United States, United Kingdom, European Union, and Brazil. Importantly, none of the proposals assessed achieve the appropriateness score, ranging from a revision need to a concrete risk to ICT systems and works from other fields.

翻译：人工智能（AI）已推动众多信息与通信技术（ICT）领域的突破。然而，自图灵测试提出以来，ICT系统的范畴已远超出AI领域。关键在于，近期AI监管提案所采用的AI定义，影响了本不属于AI的ICT技术、方法及系统。在某些情况下，甚至数学、统计学和工程学的研究成果也会受到影响。令人担忧的是，从西方社会到全球南方国家，均观察到对AI的错误定义。本文提出一个框架，用于评估AI定义在监管适用性验证（VADER）方面的得分。我们在线公开的VADER框架基于以下前提的覆盖度进行评分：适用于监管的AI定义应（i）遵循其他成功技术监管中观察到的原则，并（ii）涵盖所有AI技术方法，同时排除非AI研究成果。针对后者，我们的评分基于包含代表性AI案例、非AI ICT案例及非ICT案例的数据集。通过评估关键参与者（包括美国、英国、欧盟和巴西）的AI监管提案，我们验证了本框架的贡献。需特别指出，所有被评估提案均未达到适用性标准，其评分结果从“需修订”到“对ICT系统及其他领域研究构成实际风险”不等。