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Co-regulating algorithmic disclosure for digital platforms

Bibliographic Data

ID12651245
AuthorsFabiana Di Porto (0000-0002-4420-9741, corresponding author), Marialuisa Zuppetta
Year2020
Volume40
Issue2
Pages272-293
Publication date2020-10-29
Open AccessYes
TypeARTICLE
VenuePolicy and Society (JOURNAL)
Journal identifiersISSN: 1449-4035 • E-ISSN: 1839-3373
PublisherElsevier BV (PUBLISHER)
DOI10.1080/14494035.2020.1809052
OpenAlexW3096766689
LanguageEN
Citations received12
References cited27

With digital platforms gaining dominant intermediating role and exerting regulatory functions vis-à-vis small and medium-sized enterprises (SMEs) through algorithms, EU institutions have started considering to rely on their analytical capacity to regulate the myriads of market transactions occurring within and through them (so-called platform-to-business, or P2B transactions). Most of the time, the EU suggests recurring to light-tough disclosure duties. Hence, the European model falls short in rebalancing information asymmetry and unequal bargaining power plaguing the SMEs. In practice, the EU model consists either in pure delegation of self-regulatory powers (codes of conduct) or non-enforceable co-regulatory schemes (with technical standards established by the platforms themselves). Other models have been suggested that rely on the regulator's access to the platform's data (so called savvy and data-delegated options). These governance models present several limitations, making the platforms' role as regulatory intermediators little credible. In this scenario, the paper purports that a third option should be considered. In particular, to tackle the multifaceted risks associated with algorithmic decisions by digital platforms, while at the same time avoiding stifling innovation, it makes three suggestions: (1) also information disclosures should be done by an algorithm; (2) that is pre-tested in a co-regulatory process, that involves the regulator and stakeholders; and (3) enforced through legal and other empowerment tools, rather than sole fines

Business · Corporate governance · Delegation · Economics · Industrial organization · Information asymmetry · Management · Process (computing · Blockchain Technology Applications and Security · Computer Science · Digitalization, Law, and Regulation · Ethics and Social Impacts of AI · Finance

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Citations per year2
Citation span2020 - 2026 (7)
Highly citedNo

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