Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/137584
Type: Journal article
Title: 'I, Contract': Evaluating the Mistake Doctrine's Application Where Autonomous Smart Contracts Make 'Bad' Decisions
Author: Giancaspro, M.
Citation: Campbell Law Review, 2022; 45(1):53-86
Publisher: Campbell University School of Law
Issue Date: 2022
ISSN: 0198-8174
Statement of
Responsibility: 
Mark Giancaspro
Abstract: Autonomous smart contracts and the blockchain are flagship technologies of the Fourth Industrial Revolution. They are already in commercial use and uptake will undoubtedly increase as their many cost and efficiency benefits are realized. Already, advanced applications of smart contracts that integrate Artificial Intelligence are being developed at a feverish pace. The prospect of smart contracts being vested with the coded capacity to autonomously make “decisions” for their human parties is both exciting and unnerving. The obvious legal question that arises is whether the parties can plead the doctrine of mistake if the smart contract makes a decision that is unintended, irrational (in the sense that no rational human actor would have made the same decision through the organically intuitive human decision-making process), and undesirable. This Article addresses this novel question under American and Anglo-Australian contract law, ultimately concluding that in most cases the mistake doctrine likely will not avail aggrieved parties when a smart con-tract makes a “bad” decision.
Rights: © 2022 The Author. This Article is brought to you for free and open access by Scholarly Repository @ Campbell University School of Law. It has been accepted for inclusion in Campbell Law Review by an authorized editor of Scholarly Repository @ Campbell University School of Law.
Published version: https://scholarship.law.campbell.edu/clr/vol45/iss1/2/
Appears in Collections:Law publications

Files in This Item:
File Description SizeFormat 
hdl_137584.pdfPublished version514.34 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.