Globally, policymakers are debating governance approaches to regulate automated systems, especially in response to growing anxiety about unethical use of generative AI technologies such as ChatGPT and DALL-E. Legislators and regulators are understandably concerned with balancing the need to limit the most serious consequences of AI systems without stifling innovation with onerous government regulations. Fortunately, there is no need to start from scratch and reinvent the wheel.
As explained in the IEEE-USA article “ How Should We Regulate AI?,” the IEEE 1012 Standard for System, Software, and Hardware Verification and Validation already offers a road map for focusing regulation and other risk management actions.
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