In this thought leadership piece, Gartner advocates for organizations to define their ethical framework when broaching data driven initiatives. Gartner and Microsoft both stand for ethical use of data, advocating for transparency. This article clearly defines how to avoid overt or subtle missteps that may create long term reputation impacts.
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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