Algorithms have made our lives more efficient and entertaining--but not without a significant cost. Can we design a better future, one in which societial gains brought about by technology are balanced with the rights of citizens? The Ethical Algorithm offers a set of principled solutions based on the emerging and exciting science of socially aware algorithm design.
Algorithms have made our lives more efficient and entertaining--but not without a significant cost. Can we design a better future, one in which societial gains brought about by technology are balanced with the rights of citizens? The Ethical Algorithm offers a set of principled solutions based on the emerging and exciting science of socially aware algorithm design.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Michael Kearns is Professor and the National Center Chair in the Computer and Information Science department of the University of Pennsylvania, where he has secondary appointments at Wharton. He has consulted extensively in the finance and technology industries, and on various legal and regulatory matters involving algorithms, data and machine learning. Aaron Roth is the class of 1940 Bicentennial Term Associate Professor in the Computer and Information Science department at the University of Pennsylvania. He is the recipient of a Presidential Early Career Award for Scientists and Engineers (PECASE), an Alfred P. Sloan Research Fellowship, an NSF CAREER award, a Google Faculty Research Award, and a Yahoo Academic Career Enhancement award.
Inhaltsangabe
Introduction Chapter 1: Algorithmic Privacy: The Power of Randomization Chapter 2: Fairness: Discriminating Algorithms Chapter 3: Games People Play (With Algorithms) Chapter 4: Lost in the Garden: Led Astray by Data Chapter 5: Risky Business: Interpretability, Morality, and the Singularity Some Concluding Thoughts Acknowledgements Notes
Introduction Chapter 1: Algorithmic Privacy: The Power of Randomization Chapter 2: Fairness: Discriminating Algorithms Chapter 3: Games People Play (With Algorithms) Chapter 4: Lost in the Garden: Led Astray by Data Chapter 5: Risky Business: Interpretability, Morality, and the Singularity Some Concluding Thoughts Acknowledgements Notes
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