Measuring Goodhart’s law
📰 OpenAI News
Goodhart's law states that a measure becomes less effective when used as a target, posing challenges for optimizing objectives
Action Steps
- Identify key objectives that are difficult or costly to measure
- Develop alternative metrics that can approximate the desired outcomes
- Regularly review and refine metrics to avoid Goodhart's law effects
- Consider using multi-metric approaches to reduce the impact of Goodhart's law
Who Needs to Know This
Data scientists, AI engineers, and product managers at companies like OpenAI benefit from understanding Goodhart's law to develop effective metrics and optimization strategies
Key Insight
💡 Using a measure as a target can render it less effective, making it essential to develop and refine alternative metrics
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📊 Goodhart's law: when a measure becomes a target, it ceases to be a good measure. #AI #metrics
Key Takeaways
Goodhart's law states that a measure becomes less effective when used as a target, posing challenges for optimizing objectives
Full Article
Goodhart’s law famously says: “When a measure becomes a target, it ceases to be a good measure.” Although originally from economics, it’s something we have to grapple with at OpenAI when figuring out how to optimize objectives that are difficult or costly to measure.
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