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Training Camp • Cybersecurity Glossary
Responsible AI is the practice of building and deploying AI that is ethical, transparent, fair, and accountable, guided by governance frameworks.
Responsible AI Definition: Responsible AI is the practice of building and deploying AI that is ethical, transparent, fair, and accountable, guided by governance frameworks.
Responsible AI is the practice of designing, developing, and deploying artificial intelligence systems in a way that is ethical, transparent, fair, accountable, and aligned with human values and legal requirements. It encompasses principles such as bias mitigation, explainability, privacy, safety, and human oversight, and is operationalized through governance frameworks like the NIST AI Risk Management Framework and ISO/IEC 42001. The goal is to maximize benefits while minimizing harm and unintended consequences.
Responsible AI is one of the topics you'll master in the AIGP Boot Camp.
AIGP Boot Camp →