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NIST is conducting research, engaging stakeholders, and producing reports on the characteristics of trustworthy AI. These documents, based on diverse stakeholder involvement, set out the challenges in dealing with each characteristic in order to broaden understanding and agreements that will strengthen the foundation for standards, guidelines, and practices. The essential building blocks of AI trustworthiness include:
- Validity and Reliability
- Safety
- Security and Resiliency
- Accountability and Transparency
- Explainability and Interpretability
- Privacy
- Fairness with Mitigation of Harmful Bias
NIST also partners with other organizations to support initiatives on trustworthy AI. That includes a partnership with the National Science Foundation (NSF) on an Institute for Trustworthy AI in Law & Society (TRAILS) led by the University of Maryland. TRAILS aims to transform the practice of AI from one driven primarily by technological innovation to one driven with attention to ethics, human rights, and support for communities whose voices have been marginalized into mainstream AI. TRAILS is funded by a partnership between NSF and NIST.