• 时间:2017 年
  • 分类:人工智能/新基建
  • 页数:45

icon 兰德公司-人工智能中偏见和错误的风险(英文)-2017.4.10-45页

An Intelligence in Our Image The Risks of Bias and Errors in Artificial Intelligence Osonde Osoba, William Welser IV C O R P O R AT I O N For more information on this publication, visit www.rand.org/t/RR1744 Library of Congress Cataloging-in-Publication Data is available for this publication. ISBN: 978-0-8330-9763-7 Published by the RAND Corporation, Santa Monica, Calif. © Copyright 2017 RAND Corporation R® is a registered trademark. Cover: the-lightwriter/iStock/Getty Images Plus Limited Print and Electronic Distribution Rights This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited. Permission is given to duplicate this document for personal use only, as long as it is unaltered and complete. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial use. For information on reprint and linking permissions, please visit www.rand.org/pubs/permissions. The RAND Corporation is a research organization that develops solutions to public policy challenges to help make communities throughout the world safer and more secure, healthier and more prosperous. RAND is nonprofit, nonpartisan, and committed to the public interest. RAND’s publications do not necessarily reflect the opinions of its research clients and sponsors. Support RAND Make a tax-deductible charitable contribution at www.rand.org/giving/contribute www.rand.org Preface Algorithms and artificial intelligence agents (or, jointly, artificial agents) influence many aspects of life: the news articles read, access to credit, and capital investment, among others. Because of their efficiency and speed, algorithms make decisions and take actions on the behalf of humans in these and many other domains. Despite these gains, there are concerns about the rapid automation of jobs (even cognitive jobs, such as journalism and radiology). This trend shows no signs of abating. As reliance on artificial agents continues to grow, what are the consequences and risk of such dependence? A better understanding of attitudes toward and interactions with algorithms is essential precisely because of the aura of objectivity and infallibility today’s culture ascribes to algorithms. This report illustrates some of the shortcomings of algorithmic decisionmaking, identifies key themes around the problem of algorithmic errors and bias (e.g., data diet, algorithmic disparate impact), and examines some approaches for combating these problems. This report should be of interest to decisionmakers and implementers looking for a b...
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