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The Societal Impacts of Algorithmic Decision-Making/ (Record no. 403)

MARC details
000 -LEADER
fixed length control field 05494nam a2200637 i 4500
001 - CONTROL NUMBER
control field 9798400708626
003 - CONTROL NUMBER IDENTIFIER
control field ACM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260528133339.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 050923s2023 nyu 001 0deng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 3603195
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9798400708626
Qualifying information ebook
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9798400708602
Qualifying information epub
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9798400708619
Qualifying information hardcover
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9798400708596
Qualifying information paperback
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1145/3603195
Source of number or code doi
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Raghavan, Manish
Relator term author.
245 10 - TITLE STATEMENT
Title The Societal Impacts of Algorithmic Decision-Making/
Statement of responsibility, etc. Manish Raghavan.
250 ## - EDITION STATEMENT
Edition statement First Edition
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture [New York, NY, USA] :
Name of producer, publisher, distributor, manufacturer Association for Computing Machinery;
Date of production, publication, distribution, manufacture, or copyright notice [2023].
300 ## - PHYSICAL DESCRIPTION
Extent 1 PDF (xxiv, 340pages)
Other physical details LuaTEX
490 1# - SERIES STATEMENT
Series statement ACM books,
International Standard Serial Number 2374-6777 ;
Volume/sequential designation #53
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Overview of the Book
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note PART I THEORETICAL FOUNDATIONS FOR FAIRNESS IN ALGORITHMIC DECISION-MAKING -- Overview of Part I
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 1 Inherent Tradeoffs in the Fair Determination of Risk Scores -- 1.1 A Formal Model of Risk Assessment -- 1.2 The Characterization Theorems -- 1.3 The Approximate Theorem -- 1.4 Reducing Loss with Equal Base Rates -- 1.5 Conclusion
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2 On Fairness and Calibration -- 2.1 Problem Setup -- 2.2 Relaxing Equalized Odds to Preserve Calibration -- 2.3 Experiments -- 2.4 Discussion and Conclusion
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3 The Externalities of Exploration and How Data Diversity Helps Exploitation -- 3.1 Preliminaries --3.2 Group Externality of Exploration -- 3.3 Greedy Algorithms and LinUCB with Perturbed Contexts -- 3.4 Analysis: LinUCB with Perturbed Contexts -- 3.5 Analysis: Greedy Algorithms with Perturbed Contexts
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note PART II MODELS OF BEHAVIOR -- Overview of Part II
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4 Selection Problems in the Presence of Implicit Bias -- 4.1 Overview and Summary of Results -- 4.2 Biased Selection with Power Law Distributions -- 4.3 Biased Selection with Bounded Distributions -- 4.4 Conclusion
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 5 How Do Classifiers Induce Agents to Behave Strategically? -- 5.1 Model and Overview of Results -- 5.2 Incentivizing Particular Effort Profiles -- 5.3 Optimizing Other Objectives -- 5.4 The Structure of the Space of Linear Mechanisms -- 5.5 Conclusion
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 6 Algorithmic Monoculture and Social Welfare -- 6.1 Algorithmic Hiring as a Case Study -- 6.2 Instantiating with Ranking Models -- 6.3 Models with Multiple Firms -- 6.4 Conclusion
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note PART III APPLICATION DOMAINS -- Overview of Part III
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 7 Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices -- 7.1 Background -- 7.2 Empirical Findings -- 7.3 Analysis of Technical Concerns -- 7.4 Algorithmic De-biasing -- 7.5 Discussion and Recommendations
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 8 The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons -- 8.1 What Are Feature-highlighting Explanations? -- 8.2 Feature-highlighting Explanations in Practice -- 8.3 Unavoidable Tensions -- 8.4 Conclusion
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note PART IV CONCLUSION AND FUTURE WORK
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 9 Future Directions -- 9.1 Fairness in Machine Learning and Mechanism Design -- 9.2 Algorithmic Discrimination -- 9.3 Transparent and Meaningful Explanations
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note PART V APPENDICES
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 10 Appendix A Inherent Tradeoffs in the Fair Determination of Risk Scores -- A.1 NP-completeness of Non-trivial Integral Fair Risk Assignments
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 11 Appendix B On Fairness and Calibration -- B.1 Linearity of Calibrated Classifiers -- B.2 Cost Functions -- B.3 Relationship Between Cost and Error -- B.4 Proof of Algorithm 2.1 Optimality and Approximate Optimality -- B.5 Proof of Impossibility and Approximate Impossibility -- B.6 Details on Experiments
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 12 Appendix C The Externalities of Exploration and How Data Diversity Helps Exploitation -- C.1 (Sub)gaussians and Concentration -- C.2 KL-divergence -- C.3 Linear Algebra -- C.4 Logarithms
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 13 Appendix D Selection Problems in the Presence of Implicit Bias -- D.1 Missing Proofs for Section 4.2 -- D.2 Additional Theorems for Power Laws --D.3 Lemmas for the Equivalence Definition -- D.4 Lemmas for Section D.2 -- D.5 Lemmas and Proofs for Section 4.3
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 14 Appendix E How Do Classifiers Induce Agents to Behave Strategically? -- E.1 Characterizing the Agent's Response to a Linear Mechanism
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 15 Appendix F Algorithmic Monoculture and Social Welfare -- F.1 Random Utility Models Satisfying Definition 6.1 -- F.2 3-candidate RUM Counterexamples -- F.3 Proof of Theorem 6.2 -- F.4 Verifying that the Mallows Model Satisfies Definition 6.1 -- F.5 Proof of Theorem 6.3 -- F.6 Supplementary Lemmas for the Mallows Model
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 16 Appendix G Mitigating Bias in Algorithmic Decision-making: Evaluating Claims and Practices -- G.1 Administrative Information on Vendors
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Bibliography
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Authors' Biographies
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Index
506 ## - RESTRICTIONS ON ACCESS NOTE
Terms governing access Abstract freely available; full-text restricted to subscribers or individual document purchasers.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Also available in print.
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web
538 ## - SYSTEM DETAILS NOTE
System details note System requirements: Adobe Acrobat Reader
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element The Societal Impacts of Algorithmic Decision-Making (Computer Science)
655 #0 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9798400708619
-- 9798400708596
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title ACM books - Collection 3 ;
Volume/sequential designation #53.
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to full text
Uniform Resource Identifier <a href="https://doi.org/10.1145/3603195">https://doi.org/10.1145/3603195</a>

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