TIME, LAW, AND TECHNOLOGY: an explanatory typology of strategies for regulating Artificial Intelligence

The emergence of new technologies presents itself as a challenge for regulatory initiatives that aim to deal with the effects (economic or social) of the implementation of those innovations.
In this paper, a specific approach was proposed for the phenomena (Artificial Intelligence as an infinite game, regulation as a finite game), in order to enable the identification of their ontological differences — mainly regarding the way they deal with time and change — and, based on the framework adopted, develop a typology of regulatory strategies related to the regulation of Artificial Intelligence.
Starting from explanatory variables — the epistemic dimension (risk or uncertainty) and the dimension of prioritization of regulatory policy (prioritizing fundamental rights or innovation) — four types of hypothetical regulatory strategies were proposed (precaution, flexibility, anticipation and rigidity) that would shape the profile of the regulation possibly applied in each context.