15 steps to ensure training data does not have biases in the data or infringe on intellectual property rights. Output guardrails must restrict publication of trade secrets and the confidential information of customers or employees. Guardrails must also protect against hallucinations and AI misinformation. Policies alone are insufficient. Employees producing critical content must be trained to prompt the systems efficiently and to assess the outputs critically for their accuracy. The universal adoption of generative AI makes digital literacy an essential part of all education, and companies adopting AI strategies must be at the forefront of professional training. As with the Sputnik space race, the first-adopter advantage will not last long. Only companies that use strong leadership across interdisciplinary teams will emerge as the leaders in the AI- influenced marketplace. o JON M. GARON, J.D. Professor, NSU Shepard Broad College of Law, and Inaugural Director of the Goodwin Program for Society, Technology, and the Law Garon is the author of the forth- coming book How AI, Crypto, Synthetic Media, and Videogames Will Upend the 21st Century: The Battle for the Metaverse (Edward Elgar Publishing, 2024). His papers on artificial intelligence, the metaverse, and related subjects may be found on SSRN.com. The main goals of artificial intelligence in academia involve three key areas: learning about the technologies and techniques of AI, preparing for the use of AI in everyday life, and better understanding the potential impact of AI on human lives. AI can narrow the gap between the classroom and online learning, redesigning JON M. GARON, J.D. LENORA SEVILLIAN, M.B.A., CIPP, CPPP, CPCM, LSSGB, SFC, NCN-A, CPE-P DAWN WAWERSIK, PH.D., R.N., CHSE, CNE-CL CAROLYN FITZPATRICK, M.A. MARLISA SANTOS, PH.D. ‘‘ The launch of ChatGPT can be likened to that of Sputnik, setting off a race of arms, investment, and research.” Jon M. Garon, J.D. SHARK POINT OF VIEW PANEL
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