This infographic outlines Microsoft's 6 principles for responsible AI. These principles include maximizing efficiency without destroying the dignity of all people, guarding against bias, and transparency. Additionally, AI must be designed for intelligent privacy and accountability so humans can undo unintended harm.
Many employees aren't equipped to evaluate or question the outputs they receive from AI. This article from MIT Sloan explains the risk of "rubber-stamping" AI outputs without understanding the rationale behind them, and outlines strategies for building explainability into workplace systems. Read the article to learn how your organization can build a culture that embraces AI without surrendering critical thinking. For guidance on making AI a trusted tool, contact Metisc. Read More...
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