Measuring Goodhart’s law

The article discusses Goodhart's law, which states that when a measure becomes a target, it ceases to be a good measure. OpenAI faces this challenge when optimizing objectives that are difficult or costly to measure in their AI development process.

• →Goodhart's law warns that metrics lose effectiveness when they become optimization targets.
• →The principle originated in economics but applies broadly across different fields.
• →OpenAI encounters this challenge when developing optimization strategies for hard-to-measure objectives.
• →The law highlights the difficulty of creating reliable measurement systems in complex domains.
• →Organizations must be cautious about how they structure incentives around specific metrics.