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 \textit{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）推动了信息通信技术（ICT）的诸多突破。然而，自图灵测试提出以来，ICT系统的范畴已远超AI。值得注意的是，近期AI监管提案所采纳的AI定义，实际涵盖了许多并非AI的ICT技术、方法和系统。在某些情况下，甚至数学、统计学和工程学领域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，AI定义失当的现象普遍存在。本文提出一个框架，用于评估AI定义的“监管适配验证度”（VADER）。该在线公开框架通过评分衡量AI监管定义应遵循的前提覆盖度：一方面需再现其他成功技术监管中已验证的原则，另一方面需涵盖所有AI技术和方法，同时排除非AI领域成果。针对后者，我们基于包含代表性AI、非AI的ICT及非ICT示例的数据集进行评分。通过评估美国、英国、欧盟和巴西等关键主体的AI监管提案，我们验证了该框架的有效性。值得注意的是，所有被评估提案均未达到“适配”评分标准，其缺陷程度从“需要修订”到“对ICT系统及其他领域构成实质性风险”不等。