Regulation of Financial Protocol DAOs: Addressing the Problems of Decentralization and AI Governance
Salvatore Luciano Furnari () and
Chiara Villani ()
Additional contact information
Salvatore Luciano Furnari: Università Degli Studi Di Roma “Tor Vergata”
Chiara Villani: Università Degli Studi Di Roma “Tor Vergata”
A chapter in Decentralized Autonomous Organizations—Governance, Technology, and Legal Perspectives, 2026, pp 115-134 from Springer
Abstract:
Abstract This article examines the legal challenges of regulating Decentralized Autonomous Organizations (DAOs) within financial markets, particularly those offering decentralized financial (DeFi) services. After classifying DAO in Social DAO, Investment DAO and Protocol DAO, it discusses the ambiguous legal status of DAOs, their decentralized and autonomous governance structure, and the obstacles these pose to traditional regulatory frameworks. DAOs are typically governed by smart contracts and operate on blockchain, complicating regulatory enforcement due to their decentralized, non-hierarchical structure. Additionally, the integration of artificial intelligence (AI) in DAOs introduces further complexities regarding accountability and liability, as AI lacks legal personhood. The paper reports innovative regulatory approaches, including “embedded supervision”, which integrates monitoring mechanisms within DAO operations, and “polycentric co-regulation”, which involves collaborative regulatory input from industry stakeholders. Ultimately, it suggests that Protocol DAOs might be more suitably considered as “infrastructural assets” rather than traditional business entities, encouraging voluntary compliance and adapting standards to their unique, decentralized nature.
Keywords: Financial protocol DAO; Decentralization; Artificial intelligence (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-032-03273-7_7
Ordering information: This item can be ordered from
http://www.springer.com/9783032032737
DOI: 10.1007/978-3-032-03273-7_7
Access Statistics for this chapter
More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().