Interest in generative AI continues to grow; however, many manufacturers are pausing its deployment due to rising concerns over associated risks. This article highlights three key blindspots that could lead to serious consequences. While generative AI differs fundamentally from traditional tech due to its neural network dependency and the opacity of large language models, increased demands for transparency are emerging from regulators and users alike. Failure to communicate clearly about the use of generative AI could result in legal consequences and a loss of customer trust.
It's crucial for organizations to understand that the implementation of generative AI is not merely a technological upgrade but requires transparency and a commitment to ethical considerations.
Companies must be prepared to disclose their use of generative AI to avoid regulatory repercussions and maintain trust among their employees and customers.
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