Polymathic

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The Dark Side of Generative AI

The article discusses the potential risks and challenges associated with the use of generative AI, also known as Shadow AI. It highlights the similarities between Shadow AI and Shadow IT, emphasizing the need for organizations to establish centralized strategies and governance to protect their data. The article suggests three ways to reduce risk and protect data: establishing a centralized strategy, classifying data and use cases, and bringing AI to the data. It emphasizes the importance of user behavior and decision-making in ensuring the security of generative AI.

Original article: Shadow AI will be much worse than Shadow IT



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About Me

Digital transformation, including agile and devops, across many industries, most recently in higher education. Designed and built the Emory faculty information system. Working in continuing education to improve and expand career-focused learning, esp. in workforce development. Expanding the role of innovation and entrepreneurship. Designed, built, and launched the Emory Center for Innovation.

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