In an effort to counter the often pernicious effect of biases in artificial intelligence (AI) that can damage people’s lives and public trust in AI, the National Institute of Standards and Technology (NIST) is advancing an approach for identifying and managing these biases — and is requesting the public’s help in improving it.
NIST outlines the approach in A Proposal for Identifying and Managing Bias in Artificial Intelligence (NIST Special Publication 1270), a new publication that forms part of the agency’s broader effort to support the development of trustworthy and responsible AI. NIST is accepting comments on the document until Aug. 5, 2021, and the authors will use the public’s responses to help shape the agenda of several collaborative virtual events NIST will hold in coming months . This series of events is intended to engage the stakeholder community and allow them to provide feedback and recommendations for mitigating the risk of bias in AI.
“Managing the risk of bias in AI is a critical part of developing trustworthy AI systems, but the path to achieving this remains unclear,” said NIST’s Reva Schwartz, one of the report’s authors. “We want to engage the community in developing voluntary, consensus-based standards for managing AI bias and reducing the risk of harmful outcomes that it can cause.”
NIST contributes to the research, standards, and data required to realize the full promise of artificial intelligence (AI) as an enabler of American innovation across industry and economic sectors. Working with the AI community, NIST seeks to identify the technical requirements needed to cultivate trust that AI systems are accurate and reliable, safe and secure, explainable, and free from bias. A key but still ..Support the originator by clicking the read the rest link below.
