How Can We Ensure That Its Decisions Remain Aligned with Our Goals and Values?

[๐๐ ๐๐น๐ถ๐ด๐ป๐บ๐ฒ๐ป๐] ๐๐ผ๐ ๐ฐ๐ฎ๐ป ๐๐ฒ ๐ฒ๐ป๐๐๐ฟ๐ฒ ๐๐ต๐ฎ๐ ๐๐ต๐ฒ ๐ฑ๐ฒ๐ฐ๐ถ๐๐ถ๐ผ๐ป๐ ๐บ๐ฎ๐ฑ๐ฒ ๐ฏ๐ ๐๐ ๐ฟ๐ฒ๐บ๐ฎ๐ถ๐ป ๐ฎ๐น๐ถ๐ด๐ป๐ฒ๐ฑ ๐๐ถ๐๐ต ๐ผ๐๐ฟ ๐ด๐ผ๐ฎ๐น๐ ๐ฎ๐ป๐ฑ ๐๐ฎ๐น๐๐ฒ๐?
Not by giving it a ๐๐ถ๐ป๐ด๐น๐ฒ ๐ฑ๐ฒ๐ณ๐ถ๐ป๐ถ๐๐ถ๐ผ๐ป ๐ผ๐ณ ๐๐๐ฐ๐ฐ๐ฒ๐๐.
Human values are ๐ฐ๐ผ๐บ๐ฝ๐น๐ฒ๐ and often involve ๐๐ฟ๐ฎ๐ฑ๐ฒ-๐ผ๐ณ๐ณ๐. If we optimize for one goal too narrowly, an AI may achieve that objective while ignoring other values we consider important.
๐ง๐ต๐ฒ ๐ฐ๐ต๐ฎ๐น๐น๐ฒ๐ป๐ด๐ฒ ๐ฐ๐ผ๐บ๐ฒ๐ ๐ณ๐ฟ๐ผ๐บ ๐๐ต๐ถ๐ป๐ด๐ ๐น๐ถ๐ธ๐ฒ:
- ๐๐ผ๐ป๐ณ๐น๐ถ๐ฐ๐๐ถ๐ป๐ด ๐ด๐ผ๐ฎ๐น๐ โ maximizing one outcome may harm another (๐ฆ.๐จ., ๐ฑ๐ณ๐ฐ๐ง๐ช๐ต ๐ท๐ด. ๐ฆ๐ฏ๐ท๐ช๐ณ๐ฐ๐ฏ๐ฎ๐ฆ๐ฏ๐ต)
- ๐๐ป๐ฐ๐ผ๐บ๐ฝ๐น๐ฒ๐๐ฒ ๐บ๐ฒ๐๐ฟ๐ถ๐ฐ๐ โ what we measure may not capture what we truly care about
- ๐จ๐ป๐ถ๐ป๐๐ฒ๐ป๐ฑ๐ฒ๐ฑ ๐ผ๐ฝ๐๐ถ๐บ๐ถ๐๐ฎ๐๐ถ๐ผ๐ป โ AI may find shortcuts that satisfy the metric but violate the intent
- ๐๐ต๐ฎ๐ป๐ด๐ถ๐ป๐ด ๐ฝ๐ฟ๐ถ๐ผ๐ฟ๐ถ๐๐ถ๐ฒ๐ โ human values can evolve depending on context and circumstances
๐ฆ๐ผ ๐๐ฒ ๐ป๐ฒ๐ฒ๐ฑ ๐๐ผ ๐ณ๐ผ๐ฐ๐๐ ๐ผ๐ป:
- ๐ ๐๐น๐๐ถ-๐ผ๐ฏ๐ท๐ฒ๐ฐ๐๐ถ๐๐ฒ ๐ด๐ผ๐ฎ๐น๐ that represent different human priorities
- ๐๐ฎ๐ฟ๐ฒ๐ณ๐๐น๐น๐ ๐ฑ๐ฒ๐๐ถ๐ด๐ป๐ฒ๐ฑ ๐บ๐ฒ๐๐ฟ๐ถ๐ฐ๐ that capture broader consequences
- ๐๐ผ๐ป๐๐๐ฟ๐ฎ๐ถ๐ป๐๐ ๐ฎ๐ป๐ฑ ๐๐ฎ๐ณ๐ฒ๐ด๐๐ฎ๐ฟ๐ฑ๐ that prevent harmful trade-offs
- ๐๐ผ๐ป๐๐ถ๐ป๐๐ผ๐๐ ๐ฒ๐๐ฎ๐น๐๐ฎ๐๐ถ๐ผ๐ป to identify failures and improve alignment
- ๐๐๐บ๐ฎ๐ป ๐ผ๐๐ฒ๐ฟ๐๐ถ๐ด๐ต๐ when decisions involve ambiguity or competing values
๐ฆ๐ผ ๐๐ต๐ฒ ๐ฎ๐ป๐๐๐ฒ๐ฟ ๐ถ๐: we cannot guarantee perfect alignment, but we can improve it by designing better objectives, measuring what truly matters, and keeping humans involved in defining and correcting goals.
Originally published on LinkedIn.
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