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Council Post: Unlocking AI's Potential Means Getting Real About Risk

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When it comes to the successful future of generative AI, users must understand the underlying technology and the accompanying risks that need to be mitigated.

LLMs have grown very sophisticated, but the technology still bears a closer resemblance to your phone's autocomplete feature than a sentient being. While the popular press has broached the topic of existential dangers posed by AI, the risks facing businesses working with the technology today are far more familiar. Let’s consider just a few to demonstrate the need for a responsible generative AI framework.

Imagine a loan officer deciding whether to lend money to a company. They consult a generative AI assistant and are told the borrower presents an unacceptable level of risk. Unbeknownst to the humans involved, the AI has been trained on a low-quality data source that mistook rumors for fact, has been manipulated by an unauthorized user and commingled information from a business with a similar name.

Another evolving risk generative AI presents to businesses is the misuse of personal data, resulting in other violations of data privacy laws.

 

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