Weighing risk and reward with gen AI vendor selection
CIO
JANUARY 3, 2024
There’s bias in both the training data sets and in the results, and there are ethical concerns, runaway costs, integration challenges, model drift, lack of transparency, data security risks, plagiarism risks, and regulatory risks. In addition, for particularly sensitive business information and data, he expects to see even more security.
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