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Originally posted on August 31, 2023 | By: datanami
Executives are right to be concerned about the accuracy of the AI models they put into production and tamping down on hallucinating ML models. But they should be spending as much time, if not more, addressing questions over the ethics of AI, particularly around data privacy, consent, transparency, and risk.
The sudden popularity of large language models (LLMs) has added rocket fuel to artificial intelligence, which was already moving forward at an accelerated pace. But even before the ChatGPT revolution, companies were struggling to come to grips with the need to build and deploy AI applications in an ethical manner.
The level of awareness over AI ethics issues is not where it needs to be. For example, a recent survey by Conversica, which builds custom conversational AI solutions, found that 20% of business leaders at companies who use AI “have limited or no knowledge” about their company’s policies for AI in terms of security, transparency, accuracy, and ethics, the company says.
Read the full article on calls for AI regulation here.