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Competing Legal Futures

Authors: Marco Giraudo; Eduard Fosch-Villaronga; Gianclaudio Malgieri;

Competing Legal Futures

Abstract

This essay provides a legal-economic canvas of the institutional co-evolutionary dynamics that are disrupting the legal foundations of digital markets to make sense of contested 'commodification bets' from personal data to AI. Drawing from the experience of information capitalism, we make a general argument about the anomalous coordination between legal, technological, and economic dynamics, which is reinforced by the over-reliance on co-regulatory strategies proposed by current regulatory measures (e.g., the European AI Act proposal) as a solution to regulate disruptive technologies. It is argued that the co-regulatory model exacerbates legal instability in emerging markets, as it is subject to moral hazard dynamics, all too favored by an over-reliance on the goodwill of private actors as well as on the enforcement priorities of Member States’ DPAs. Stalling strategies, and regulatory captures can flourish within such a model to the advantage of economic agents' commodification bets, thus prolonging what we call the 'extended legal present', in which a plurality of possible legal futures compete with each other, and which is fraught with economic and political uncertainty. The first part briefly recounts how the fundamental commodification bets over personal data at the core of the digital economy have been deployed and partly rejected by the EU judiciary and Data Protection Authorities, pointing to the poor adaptation of economic agents' legal practices despite the emerging legal fault lines at the heart of European digital markets. The second part outlines a theoretical framework for the functioning of the 'market for legal rules' that the co-regulatory model allows to make sense of and explain the current legal-economic drifts. It also highlights the presence in the legal domain of anomalies and distortions typically associated with market exchanges in general. The third part juxtaposes such a theoretical framework with the current flares of legal uncertainty surrounding the commercial release of AI-based products to highlight the sense of déjà vu in the creation of the legal foundations for AI and to call for a course correction in the over-reliance on co-regulation. It concludes with several policy considerations, including institutional diversification as a resilient strategy in the face of legal uncertainty to avoid possible "legal bubbles" in the making.

Dr. Fosch-Villaronga acknowledges that this paper has been partly funded by the Safe and Sound project, a project that received funding from the European Union's Horizon-ERC program (Grant Agreement No. 101076929). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.

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Keywords

Big Data, Legal Innovation, Law and Technology, Artificial Intelligence, Privacy, Co-Regulation, Legal Futures, Legal Uncertainty

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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