๐๐ซ๐๐ฐ๐ข๐ง๐ ๐๐ง๐ฌ๐ข๐ ๐ก๐ญ๐ฌ!: ๐๐๐๐ฉ๐จ๐ง๐ข๐ณ๐๐ ๐๐ – ๐๐ ๐ง๐จ๐ซ๐ ๐๐จ๐จ๐๐ก๐๐ซ๐ญโ๐ฌ ๐๐๐ฐ ๐๐ญ ๐ฒ๐จ๐ฎ๐ซ ๐ฉ๐๐ซ๐ข๐ฅ
The timeless wisdom of Goodhart’s Law, serves as a guide, illuminating the delicate balance between metrics and objectives. In this March edition, I have been receiving many questions about the who, what, why, and how of Automation and GenAI. These questions have an underlined critical path which has Goodhart’s Law learnings within it. So let’s then dive into the heart of Goodhart’s Law to uncover its implications for AI metrics and explore strategies to navigate this complex terrain.
๐ผ๐ ๐ ๐ ๐๐๐๐โ ๐๐ 1975, ๐ถโ๐๐๐๐๐ ๐บ๐๐๐โ๐๐๐ก ๐๐๐๐๐๐๐๐ฆ ๐๐๐๐๐๐ ๐บ๐๐๐โ๐๐๐กโ๐ ๐ฟ๐๐ค ๐๐ฅ๐๐๐๐๐๐๐๐ โ๐ด๐๐ฆ ๐๐๐ ๐๐๐ฃ๐๐ ๐ ๐ก๐๐ก๐๐ ๐ก๐๐๐๐ ๐๐๐๐ข๐๐๐๐๐ก๐ฆ ๐ค๐๐๐ ๐ก๐๐๐ ๐ก๐ ๐๐๐๐๐๐๐ ๐ ๐๐๐๐ ๐๐๐๐ ๐ ๐ข๐๐ ๐๐ ๐๐๐๐๐๐ ๐ข๐๐๐ ๐๐ก ๐๐๐ ๐๐๐๐ก๐๐๐ ๐๐ข๐๐๐๐ ๐๐ .โ
On that note, joking or not. Companies, and yes those who are creating these foundational GenAI models are seeing these same aspects are missing in governing AI
๐๐ก๐๐ญ ๐ฒ๐จ๐ฎ ๐ฐ๐ข๐ฅ๐ฅ ๐๐ข๐ง๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐๐๐ซ๐๐ก ๐๐๐ฐ๐ฌ๐ฅ๐๐ญ๐ญ๐๐ซ: ๐๐๐๐ฉ๐จ๐ง๐ข๐ณ๐๐ ๐๐ – ๐๐ ๐ง๐จ๐ซ๐ ๐๐จ๐จ๐๐ก๐๐ซ๐ญโ๐ฌ ๐๐๐ฐ ๐๐ญ ๐ฒ๐จ๐ฎ๐ซ ๐ฉ๐๐ซ๐ข๐ฅ
๐น Understanding Goodhart’s Law:
๐นThe Lesson of (๐๐๐๐ฉ๐จ๐ง๐ข๐ณ๐๐ ๐๐) in Action:
๐นMitigating Risks Through Comprehensive Measurement:
๐นImplementing Goal-Setting Strategies:
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