Algorithms and Autonomy : The ethics of automated decision systems / Alan Rubel, Clinton Castro, Adam K. Pham.

Format:

Book

Author/Creator:

Rubel, Alan, author.

Pham, Adam K., author.

Castro, Clinton, author.

Language:

English

Subjects (All):

Artificial intelligence--Law and legislation.

Artificial intelligence.

Physical Description:

1 online resource (x, 205 pages)

Other Title:

Algorithms and Autonomy

Place of Publication:

Cambridge, United Kingdom : Cambridge University Press, 2021.

Summary:

"Algorithms influence every facet of modern life: criminal justice, education, housing, entertainment, elections, social media, news feeds, work ... the list goes on. Delegating important decisions to machines, however, gives rise to deep moral concerns about responsibility, transparency, freedom, fairness, and democracy. This book connects these concerns to the core human value of autonomy in the contexts of algorithmic teacher evaluation, risk assessment in criminal sentencing, predictive policing, background checks, news feeds, ride-sharing platforms, social media, and election interference. Using these case studies, the authors provide a better understanding of machine fairness and algorithmic transparency. They explain why interventions in algorithmic systems are necessary to ensure that algorithms are not used to control citizens' participation in politics and undercut democracy"--Publisher's description.

Contents:

Introduction

Autonomy, agency, and responsibility

What can agents reasonably endorse?

What we informationally owe each other

Freedom, agency, and information technology

Epistemic paternalism and social media

Agency laundering and information technologies

Democratic obligations and technological threats to legitimacy

Conclusions and caveats.

Notes:

Description based on publisher supplied metadata and other sources.