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AI risk management is a key component of responsible development and use of AI sys-
tems. Responsible AI practices can help align the decisions about AI system design, de-
velopment, and uses with intended aim and values. Core concepts in responsible AI em-
phasize human centricity, social responsibility, and sustainability. AI risk management can
drive responsible uses and practices by prompting organizations and their internal teams
who design, develop, and deploy AI to think more critically about context and potential
or unexpected negative and positive impacts. Understanding and managing the risks of AI
systems will help to enhance trustworthiness, and in turn, cultivate public trust.
tems. Responsible AI practices can help align the decisions about AI system design, de-
velopment, and uses with intended aim and values. Core concepts in responsible AI em-
phasize human centricity, social responsibility, and sustainability. AI risk management can
drive responsible uses and practices by prompting organizations and their internal teams
who design, develop, and deploy AI to think more critically about context and potential
or unexpected negative and positive impacts. Understanding and managing the risks of AI
systems will help to enhance trustworthiness, and in turn, cultivate public trust.