Manish Raghavan

The Societal Impacts of Algorithmic Decision-Making

• Gebundenes Buch

Produktbeschreibung

Algorithms are increasingly being used to make decisions in various domains such as criminal justice, medicine, and employment. While algorithmic tools could make decision-making more accurate, consistent, and transparent, they pose serious challenges to societal interests such as perpetuating discrimination and causing representational harm.

Produktdetails

• Verlag: Association for Computing Machinery 6504698
• Seitenzahl: 364
• Erscheinungstermin: 8. September 2023
• Englisch
• Abmessung: 235mm x 191mm x 27mm
• Gewicht: 1089g
• ISBN-13: 9798400708619
• Artikelnr.: 69214346

Autorenporträt

Manish Raghavan is the Drew Houston (2005) Career Development Professor at the MIT Sloan School of Management and Department of Electrical Engineering and Computer Science. His research focuses on how algorithms and algorithmic decision-making impact society in a variety of contexts including employment and online media. He is the recipient of the 2021 ACM Doctoral Dissertation Award.

Inhaltsangabe

* Introduction
* Part I: Theoretical Foundations for Fairness in Algorithmic
Decision-Making
* 1. Inherent Tradeoffs in the Fair Determination of Risk Scores
* 2. On Fairness and Calibration
* 3. The Externalities of Exploration and How Data Diversity Helps
Exploitation
* Part II: Models of Behavior
* 4. Selection Problems in the Presence of Implicit Bias
* 5. How Do Classifiers Induce Agents to Behave Strategically?
* 6. Algorithmic Monoculture and Social Welfare
* Part III: Application Domains
* 7. Mitigating Bias in Algorithmic Hiring: Evaluating Claims and
Practices
* 8. The Hidden Assumptions Behind Counterfactual Explanations and
Principal Reasons
* Part IV: Conclusion and Future Work
* 9. Future Directions
*