A Citizen's Guide to Artificial Intelligence

Cambridge, MA, USA: MIT Press (2021)
  Copy   BIBTEX

Abstract

A concise but informative overview of AI ethics and policy. Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring homeowners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, and voters in liberal democracies? Authored by experts in fields ranging from computer science and law to philosophy and cognitive science, this book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues such as transparency, bias, liability, privacy, and regulation. Both business and government have integrated algorithmic decision support systems into their daily operations, and the book explores the implications for our lives as citizens. For example, do we take it on faith that a machine knows best in approving a patient's health insurance claim or a defendant's request for bail? What is the potential for manipulation by targeted political ads? How can the processes behind these technically sophisticated tools ever be transparent? The book discusses such issues as statistical definitions of fairness, legal and moral responsibility, the role of humans in machine learning decision systems, “nudging” algorithms and anonymized data, the effect of automation on the workplace, and AI as both regulatory tool and target.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,349

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Ethical Machines?Ariela Tubert - 2018 - Seattle University Law Review 41 (4).
Philosophy and machine learning.Paul Thagard - 1990 - Canadian Journal of Philosophy 20 (2):261-76.
Artificial Intelligence and Wittgenstein.Gerard Casey - 1988 - Philosophical Studies (Dublin) 32:156-175.

Analytics

Added to PP
2021-11-29

Downloads
133 (#134,561)

6 months
29 (#104,925)

Historical graph of downloads
How can I increase my downloads?

Author Profiles

John Danaher
University College, Galway
James Maclaurin
University of Otago
Alistair Knott
University of Otago
1 more

Citations of this work

Tragic Choices and the Virtue of Techno-Responsibility Gaps.John Danaher - 2022 - Philosophy and Technology 35 (2):1-26.

Add more citations

References found in this work

No references found.

Add more references