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Massachusetts Institute of Technology

A Systems-Level Analysis of Algorithmic Regulation

Abstract

dc:description.abstract

Algorithmic tools are being wielded in the name of regulatory values as regulatory tools are lagging in mitigating the impacts of algorithmic systems. In this thesis, I characterize and evaluate the systemic relationship between regulation and algorithmic technologies in two parts. In Part I, I uncover the current mismatched application of laws to algorithmic systems and propose resulting implications and mitigations. In Part II, I consider regulatory design for emerging technologies that incentivizes efforts toward increasing the foreseeability of harm. While each chapter centers the interplay between different regulations and algorithmic technologies, the problems that are uncovered and the solutions proposed generalize to reasoning about algorithmic regulation as a whole. This analysis highlights the unexpected ways that regulations can shape incentives for algorithmic development, as well as the unexpected ways that algorithmic innovation can spark regulatory innovation.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Yew, Rui-Jie
Advisor dc:contributor.advisor
  • Hadfield-Menell, Dylan

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/151846
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/151846

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Yew, Rui-Jie. A Systems-Level Analysis of Algorithmic Regulation. Massachusetts Institute of Technology, 2023. https://hdl.handle.net/1721.1/151846