  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.
