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The AI Assurance Technical Working Group (TWG) aims at answering the question ‘How do we test AI/ML performance, including assessment of function, safety, and security?’
The AI Assurance Technical Working Group (TWG) aims at answering the question ‘How do we test AI/ML performance, including assessment of function, safety, and security?’
Over the past years, NIST (National Institute of Standards and Technology) has undertaken efforts aimed at standardizing the vocabulary used for the representation of Cyber-Physical Systems (CPS). The aim is to provide experts from all disciplines a unified way to look at, and discuss, CPS across all phases of their life cycle. Through a NIST-facilitated Public Working Group, the effort resulted in the release of the NIST CPS Framework.
Over the past years, NIST (National Institute of Standards and Technology) has undertaken efforts aimed at standardizing the vocabulary used for the representation of Cyber-Physical Systems (CPS). The aim is to provide experts from all disciplines a unified way to look at, and discuss, CPS across all phases of their life cycle. Through a NIST-facilitated Public Working Group, the effort resulted in the release of the NIST CPS Framework.
Cyber-Physical and IoT systems frequently pose challenges related to trust, safety, security and assurance in general – many perform safety-critical functions. The addition of Artificial Intelligence (AI) and Machine Learning (ML) technologies to CPS/IoT may complicate these challenges further. The AI Assurance TWG is a partnership dedicated to investigating these challenges, as well as investigating the relationship between AI Assurance and the NIST CPS Framework. To learn more about the AI Assurance TWG, contact Edward Griffor (edward.griffor@nist.gov) and Marcello Balduccini (mbalducc@sju.edu).
Cyber-Physical and IoT systems frequently pose challenges related to trust, safety, security and assurance in general – many perform safety-critical functions. The addition of Artificial Intelligence (AI) and Machine Learning (ML) technologies to CPS/IoT may complicate these challenges further. The AI Assurance TWG is a partnership dedicated to investigating these challenges, as well as investigating the relationship between AI Assurance and the NIST CPS Framework. To learn more about the AI Assurance TWG, contact Edward Griffor (edward.griffor@nist.gov) and Marcello Balduccini (mbalducc@sju.edu).
Partners
Partners
National Institute of Standards and Technology
National Institute of Standards and Technology
New Mexico State University
New Mexico State University
Saint Joseph's University
Saint Joseph's University
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