Towards a standard for identifying and managing bias in artificial intelligence
На пути к стандарту выявления и управления предвзятостью в области искусственного интеллекта
2022-03-15
SCID: 54.1/ntpp2p3a
Discuss with AI
NIST AI Seriesartificial intelligence biasbias identificationbias managementpublic trust in AI
Figures from the paper
Abstract (AI)
As individuals and communities interact in and with an environment that is increasingly virtual they are often vulnerable to the commodification of their digital exhaust. Concepts and behavior that are ambiguous in nature are captured in this environment, quantified, and used to categorize, sort, recommend, or make decisions about people's lives. While many organizations seek to utilize this information in a responsible manner, biases remain endemic across technology processes and can lead to harmful impacts regardless of intent. These harmful outcomes, even if inadvertent, create significant challenges for cultivating public trust in artificial intelligence (AI). SP 1270 is a NIST Artificial Intelligence publication and should be read in conjunction with all publications in the NIST AI Series, which was established in January 2023.
Key Findings
1
Bias remains endemic across technology processes and can produce harmful impacts even when organizations intend to use information responsibly.
2
Digital exhaust is increasingly quantified and used to categorize, recommend, and make decisions affecting people’s lives.
3
Inadvertent biased outcomes create significant challenges for cultivating public trust in artificial intelligence.
4
SP 1270 is a NIST AI publication intended to support a standard approach for identifying and managing AI bias, alongside the broader NIST AI Series.
Research Object
artificial intelligence systems and technology processes that capture, quantify, and use digital behavior data
Research Subject
identification and management of endemic bias and its harmful impacts in artificial intelligence
Publication Details
Publication Date
2022-03-15
Journal
Publisher
ISSN
Cited by
540
Open access PDF
Access Type
Author Information
Download PDF
Subscribe to digest