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来源类型 | Report |
规范类型 | 报告 |
DOI | https://doi.org/10.7249/RR1744 |
来源ID | RR-1744-RC |
An Intelligence in Our Image: The Risks of Bias and Errors in Artificial Intelligence | |
Osonde A. Osoba; William Welser IV | |
发表日期 | 2017-04-05 |
出版年 | 2017 |
语种 | 英语 |
结论 | Algorithms and Artificial Intelligence Agents Influence Many Areas of Life Today
This Reliance on Artificial Agents Carries Risks that Have Caused Concern
Remedies Will Most Likely Require a Combination of Technical and Nontechnical Approaches
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摘要 | Machine learning algorithms and artificial intelligence systems influence many aspects of people's lives: news articles, movies to watch, people to spend time with, access to credit, and even the investment of capital. Algorithms have been empowered to make such decisions and take actions for the sake of efficiency and speed. Despite these gains, there are concerns about the rapid automation of jobs (even such jobs as journalism and radiology). A better understanding of attitudes toward and interactions with algorithms is essential precisely because of the aura of objectivity and infallibility cultures tend to ascribe to them. This report illustrates some of the shortcomings of algorithmic decisionmaking, identifies key themes around the problem of algorithmic errors and bias, and examines some approaches for combating these problems. This report highlights the added risks and complexities inherent in the use of algorithmic decisionmaking in public policy. The report ends with a survey of approaches for combating these problems. |
目录 |
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主题 | Big Data ; Criminal Justice ; Machine Learning ; Racial Discrimination ; Racial Equity ; Robust Decision Making |
URL | https://www.rand.org/pubs/research_reports/RR1744.html |
来源智库 | RAND Corporation (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/523271 |
推荐引用方式 GB/T 7714 | Osonde A. Osoba,William Welser IV. An Intelligence in Our Image: The Risks of Bias and Errors in Artificial Intelligence. 2017. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
RAND_RR1744.pdf(618KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
x1535045537267.jpg.p(4KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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