Life and the Law in the Era of Data-Driven Agency
Show Less

Life and the Law in the Era of Data-Driven Agency

Edited by Mireille Hildebrandt and Kieron O’Hara

This ground-breaking and timely book explores how big data, artificial intelligence and algorithms are creating new types of agency, and the impact that this is having on our lives and the rule of law. Addressing the issues in a thoughtful, cross-disciplinary manner, leading scholars in law, philosophy, computer science and politics examine the ways in which data-driven agency is transforming democratic practices and the meaning of individual choice.
Buy Book in Print
Show Summary Details
You do not have access to this content

Chapter 9: In defence of ‘Toma’: Algorithmic enhancement of a sense of justice

David Stevens


Despite serious reservations over issues of transparency, accountability, bias, and the like, algorithms offer a potentially significant contribution to furthering human well-being via the influencing of beliefs, desires, and choices. Should governments be permitted to leverage socially beneficial attitudes, or enhance the well-being of their citizens via the use of algorithmic tools? In this chapter I argue that there are principled moral reasons that do not permit governments to shape the ends of individuals in this way, even when it would contribute a positive benefit to well-being. Such shaping would undermine the kinds of ethical independence that state legitimacy is based upon. However, I also argue that this does not apply to what Rawls calls a ‘sense of justice’ – the dispositions necessary to uphold just political and socioeconomic institutions. Where traditional methods of influence, such as education, prove lacking, then algorithmic enhancement towards those ends may be permissible. Mireille Hildebrandt’s fictitious piece of computational software – ‘Toma’ – serves as the point of departure for this argument, and provides many of the insights regarding the autonomic nature of such influence.

You are not authenticated to view the full text of this chapter or article.

Elgaronline requires a subscription or purchase to access the full text of books or journals. Please login through your library system or with your personal username and password on the homepage.

Non-subscribers can freely search the site, view abstracts/ extracts and download selected front matter and introductory chapters for personal use.

Your library may not have purchased all subject areas. If you are authenticated and think you should have access to this title, please contact your librarian.

Further information

or login to access all content.