Polymathic

Digital transformation, higher education, innovation, technology, professional skills, management, and strategy


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

Visionary leader driving digital transformation across higher education and Fortune 500 companies. Pioneered AI integration at Emory University, including GenAI and AI agents, while spearheading faculty information systems and student entrepreneurship initiatives. Led crisis management during pandemic, transitioning 200+ courses online and revitalizing continuing education through AI-driven improvements. Designed, built, and launched the Emory Center for Innovation. Combines Ph.D. in Philosophy with deep tech expertise to navigate ethical implications of emerging technologies. International experience includes DAAD fellowship in Germany. Proven track record in thought leadership, workforce development, and driving profitability in diverse sectors.

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