14 The Promise and Perils of Artificial Intelligence: Navigating a New Era At major research universities and multinational corpo- rations, the launch of ChatGPT can be likened to that of Sputnik, setting off a race of arms, investment, and research. The most successful will be companies that under- stand both the potential of artificial intelligence (AI) and the imperative to get it right. This will require strong team leaders; broad-based partici- pation; and thoughtful policies, procedures, and training. Since its popularization with the public launch of OpenAI’s ChatGPT in late 2022, generative artificial intelligence has been the fastest-growing technology in human history, amassing more than 100 million users in its first two months. A March 2023 KPMG survey highlighted that 65 percent of executives expect generative AI to have a “high or extremely high impact on their organization in the next five years, far above every other emerging technology.” Business will never look the same. To succeed, enterprises need clear AI adoption policies that apply throughout the organization. The policies should highlight the importance of protecting sensitive customer information, proprietary software code, market data, trade secrets, and other confidential information. In most companies, some employees are already experimenting with generative AI. Where these experiments were done with proprietary code or sensitive data, the public disclosure of the information could have highly adverse economic and regulatory consequences. New policies need to be supplemented with controls for both training data and output. System operators and customers alike must take (Headline courtesy of ChatGPT) Editorial Note In this new section, we ask a cross section of researchers and experts from Nova Southeastern University to weigh in on a topic of interest. Shark Point of View
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