Back to Glossary Responsible AI A framework for developing, deploying, and governing AI systems in ways that are fair, transparent, accountable, privacy-preserving, inclusive, and safe. Responsible AI practices address algorithmic bias, model explainability, data privacy, unintended harms, and human oversight mechanisms, translating ethical principles into concrete engineering and governance requirements throughout the AI development lifecycle. Microsoft’s Responsible AI Standard provides… A framework for developing, deploying, and governing AI systems in ways that are fair, transparent, accountable, privacy-preserving, inclusive, and safe. Responsible AI practices address algorithmic bias, model explainability, data privacy, unintended harms, and human oversight mechanisms, translating ethical principles into concrete engineering and governance requirements throughout the AI development lifecycle. Microsoft’s Responsible AI Standard provides one widely adopted implementation framework.
