Those organizations should evaluate whether the benefits justify the risks and potential negative impacts, in the context of specific use cases. In the new world of general-purpose AI, including generative AI, surely a key responsibility for governance should fall on the companies that are proposing to deploy AI systems for various tasks. Interestingly, however, the furor around ChatGPT has not sparked a conversation about the role that should be played by the many organizations that are already using AI. The FLI’s call for a development pause, which now has more than 26,000 signatures, understandably reflects a broad public concern about the magnitude of generative AI’s potential impacts. In contrast with machine learning - narrow-use AIs such as the algorithms used to detect fraud by banks - generative AI is a general-purpose technology, with a wide range of possible uses, including some that cannot be foreseen by its developers. Rather than focusing exclusively on the admittedly important roles of AI regulators, labs and developers, a much greater emphasis could, and should, be placed on the urgent need for the organizations deploying the technology to get serious about governance and its users to be more accountable. That compels us to look for ways to prevent harms, beyond asking for a pause, or government action. This advertisement has not loaded yet, but your article continues below. Manage Print Subscription / Tax Receipt.

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