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：人工智能推动了信息通信技术的诸多突破，但自图灵测试提出以来，ICT系统的范畴已远超AI。值得关注的是，近期AI监管提案采用的定义将影响非AI的ICT技术、方法和系统，甚至波及数学、统计学和工程领域的成果。令人担忧的是，从西方社会到全球南方均存在AI定义失准现象。本文提出VADER框架，用以评估AI定义在监管适切性方面的得分。该在线公开框架通过双重维度核算AI监管定义应涵盖的前提条件：(i) 再现其他成功技术监管中观察到的原则；(ii) 涵盖所有AI技术和方法，同时排除非AI领域。针对后者，评分基于包含代表性AI、非AI ICT及非ICT案例的数据集。我们通过评估美国、英国、欧盟和巴西等关键主体的AI监管提案验证框架有效性。结果显示，所有被评估提案均未达到适切性分数，其程度从亟需修订至对ICT系统及其他领域构成实质风险不等。