AI Responsibility Is Easier Said Than DoneAI Responsibility Is Easier Said Than DoneAI Responsibility Is Easier Said Than Done
This session emphasizes the need for transparency on ethical AI practices, data privacy, and more.
May 29, 2025
Within the vast capabilities of generative AI in business lies an even greater amount of potential risks that can be catastrophic for any organization. Even IT leaders with the best intentions are unable to ensure that their own organizations and service providers are using AI responsibly, ethically, and without bias. In this archived keynote session, Sidney Madison Prescott, director of innovation, artificial intelligence at NRI, explains the importance of evaluating the societal ramifications of AI; ensuring alignment with stakeholder principles; and addressing potential bias, privacy, and security risks. This segment was part of our live virtual event titled, "Generative AI: You’re Already Behind." The event was presented by ITPro Today and InformationWeek on May 15, 2025.
Watch the archived "Generative AI: You’re Already Behind" live virtual event on-demand today.
About the Author
Brandon Taylor supports Data Center Knowledge, InformationWeek, ITPro Today and Network Computing. He enables the successful delivery of sponsored content programs, secures speakers for the brands' many events, and assists in content strategy.
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