The Societal Impacts of Algorithmic Decision-Making
eBook - ePub

The Societal Impacts of Algorithmic Decision-Making

  1. 364 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

The Societal Impacts of Algorithmic Decision-Making

About this book

This book demonstrates the need for and the value of interdisciplinary research in addressing important societal challenges associated with the widespread use of algorithmic decision-making. Algorithms are increasingly being used to make decisions in various domains such as criminal justice, medicine, and employment. While algorithmic tools have the potential to make decision-making more accurate, consistent, and transparent, they pose serious challenges to societal interests. For example, they can perpetuate discrimination, cause representational harm, and deny opportunities.

The Societal Impacts of Algorithmic Decision-Making presents several contributions to the growing body of literature that seeks to respond to these challenges, drawing on techniques and insights from computer science, economics, and law. The author develops tools and frameworks to characterize the impacts of decision-making and incorporates models of behavior to reason about decision-making in complex environments. These technical insights are leveraged to deepen the qualitative understanding of the impacts of algorithms on problem domains including employment and lending.

The social harms of algorithmic decision-making are far from being solved. While easy solutions are not presented here, there are actionable insights for those who seek to deploy algorithms responsibly. The research presented within this book will hopefully contribute to broader efforts to safeguard societal values while still taking advantage of the promise of algorithmic decision-making.

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Yes, you can access The Societal Impacts of Algorithmic Decision-Making by Manish Raghavan in PDF and/or ePUB format, as well as other popular books in Computer Science & Decision Making. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Halftitle
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Introduction
  7. PART I: THEORETICAL FOUNDATIONS FOR FAIRNESS IN ALGORITHMIC DECISION-MAKING
  8. PART II: MODELS OF BEHAVIOR
  9. PART III: APPLICATION DOMAINS
  10. PART IV: CONCLUSION AND FUTURE WORK
  11. PART V: APPENDICES
  12. Bibliography
  13. Author’s Biography
  14. Index