The Ethical Algorithm: The Science of Socially Aware Algorithm Design

The Ethical Algorithm: The Science of Socially Aware Algorithm Design

by Michael Kearns and Aaron Roth

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Computer scientists Michael Kearns and Aaron Roth present rigorous but accessible solutions to the societal harms of algorithms, covering differential privacy, algorithmic fairness, and game-theoretic mechanism design. Rather than simply diagnosing problems, they show how mathematical frameworks can embed human values like privacy and fairness directly into algorithm design, providing a technical counterpart to the policy-focused critiques of algorithmic harm.

Published:
Pages:
232
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In the Conversation

In this collection, The Ethical Algorithm: The Science of Socially Aware Algorithm Design references 4 other books.

It draws on The Master Algorithm, Algorithms to Live By and The Signal and the Noise.

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What This Book Draws On

4

The books Roth references and why each one mattered to the argument.

Kearns and Roth engage critically with Domingos's The Master Algorithm vision of universal machine learning, arguing that the pursuit of predictive accuracy without fairness constraints produces socially harmful outcomes that technical solutions can address

The Master Algorithm

References

The Master Algorithm

by Pedro Domingos

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Builds on Christian and Griffiths's Algorithms to Live By framework of algorithm-as-decision-tool to show how adding constraints for fairness and privacy transforms optimal algorithms into socially aware ones

Algorithms to Live By

References

Algorithms to Live By

by Brian Christian

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Extends Silver's The Signal and the Noise analysis of overfitting and model error to the domain of algorithmic fairness, showing how differential privacy adds principled noise to prevent individual data leakage

The Signal and the Noise

References

The Signal and the Noise

by Nate Silver

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Draws on the behavioural framework from Thaler and Sunstein's Nudge to argue that algorithms are a form of choice architecture whose design decisions have profound moral implications for the populations they affect

Nudge

References

Nudge

by Richard Thaler

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