What constitutes a healthy AI utility function?
The AI utility function is a set of factors (variables and metrics) with associated weights that map outcomes to utility values to guide an AI model's decision-making process. It measures decision effectiveness and continuously learns and adapts to improve performance. It is a mathematical expression that maps the input space (e.g., the possible actions an AI model can take) against a set of output values representing the operating environment’s preferences or goals. The weights assigned to different variables and metrics determine the relative importance of those variables and metrics in the AI model’s decision-making process. By maximizing the expected utility of its decisions, an AI model can make choices more likely to achieve the desired operational outcomes.An AI model will continuously seek to optimize its AI utility function as the AI model interacts with its operating environment. The AI model provides positive...
