Recovering Tech's Humanity

31 Pages Posted: 4 Jan 2020 Last revised: 15 Jun 2020

See all articles by Olivier Sylvain

Olivier Sylvain

Fordham University School of Law

Date Written: November 1, 2019

Abstract

This Columbia Law Review Forum Essay is an invited response to Tim Wu's Article, "Will Artificial Intelligence Eat the Law?." The authors of both presented the ideas in their respective papers at a Columbia Law Review symposium in Spring 2019 on "Common Law for the Age of AI."

The big tech firms, policymakers, and courts are poised to reform the ways in which they govern social media content. The proposed changes, as varied as they are, will one way or another allocate responsibility between the stakeholders in new ways. This Essay argues, among other things, that any such reforms should not treat social media applications as pristine speech platforms for earnest democratic debate. Rather, in recognition of the work of many scholars, including Wu’s own impressive work, it asserts that reform should address social media companies as commercial enterprises whose priority is to maximize user attention and engagement for advertisers. It is for this reason, the Essay asserts, that policymakers should reject efforts to defer to the companies’ own automated decision-making systems for moderating content. These technologies are just one asset in the political economy and industrial designs of social media. They have not yet displaced the vital role that human labor and human incentives play. It is for this reason that it is far too soon to write off untested but extant resources in law.

Keywords: Artificial Intelligence, AI, Algorithmic Decision-making, Content Moderation, Platforms

Suggested Citation

Sylvain, Olivier, Recovering Tech's Humanity (November 1, 2019). Columbia Law Review, Vol. 119, 2019, Available at SSRN: https://ssrn.com/abstract=3499821

Olivier Sylvain (Contact Author)

Fordham University School of Law ( email )

150 West 62nd Street
New York, NY 10023
United States

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
72
Abstract Views
501
rank
350,268
PlumX Metrics