Institute for Assured Autonomy & Computer Science Seminar Series
June 4, 2021

“An Overview of the NIST Trustworthy AI Program”
Elham Tabassi, National Institute of Standards and Technology

With AI already changing the way in which society addresses economic and national security challenges and opportunities, AI technologies must be developed and used in a trustworthy and responsible manner. That means they need to ensure accuracy, explainability and interpretability, reliability, robustness, security (resilience), privacy, and safety—and that bias is mitigated. Trustworthy data, standards, and integration of machine learning and AI in applications is critical for the successful deployment of new technologies for climate research, genomics, materials, and more. Delivering these needed measurements, standards, and other tools is a primary focus for the National Institute of Standards and Technology's portfolio of AI efforts. This session provides an overview of the NIST Trustworthy and Responsible AI program.

Elham Tabassi is the chief of staff in the Information Technology Laboratory (ITL) at the National Institute of Standards and Technology (NIST). ITL, one of six research laboratories within NIST, supports the institute's mission to promote U.S. innovation and industrial competitiveness by advancing measurement science, standards, and technology in ways that enhance economic security and improve our quality of life. Tabassi has been working on various machine learning and computer vision research projects with applications in biometrics evaluation and standards since 1999. She is the principal architect of NIST Fingerprint Image Quality, which is now an international standard for measuring fingerprint image quality and has been deployed in many large-scale biometric applications worldwide. Tabassi is a senior member of the Institute of Electrical and Electronics Engineers and a member of the Association for the Advancement of Artificial Intelligence.

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