ValueMap: Mapping Crowdsourced Human Values to Computational Scores for Bi-directional Alignment
Abstract
Defining values for bi-directional alignment is challenging due to their dynamic nature. Traditional surveys are often biased, necessitating a shift to objective computational methods. We propose ValueMap, a framework mapping values from literature to computational proxies, enabling AI systems to adapt to evolving human values.
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