While this guidance might vary depending on the company and region, it should reflect an organization's AI journey. Organizations should consider establishing an internal review body that provides oversight, insights, and guidance about developing and deploying AI systems. The people who design and deploy the AI system need to be accountable for its actions and decisions, especially as we progress toward more autonomous systems. AccountabilityĪccountability is an essential pillar of responsible AI. Learn more about Aether at this Microsoft Learn module. The core responsibility of the committee is to advise on responsible issues, technologies, processes, and best practices. Microsoft established an ethical committee for AI, ethics, and effects in engineering and research Aether, in 2017. They are guided by two perspectives: ethical and explainable.įrom an ethical perspective, AI should be fair and inclusive in its assertions, be accountable for its decisions, and not discriminate or hinder different races, disabilities, or backgrounds. These principles are essential to creating responsible and trustworthy AI as it moves into more mainstream products and services. Microsoft outlines six key principles for responsible AI: accountability, inclusiveness, reliability and safety, fairness, transparency, and privacy and security.
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