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One of the biggest challenges in Artificial Intelligence (AI) development and application is the lack of consideration for human enhancement as a cornerstone for its operationalization. Nor is there a universally accepted approach that guides best practices in this field. However, the behavioral science field offers suggestions on how to develop a sustainable and enriching relationship between humans and intelligent machines. This paper provides a three-level (micro, meso and macro) framework on how to humanize AI with the intention of enhancing human properties and experiences. It argues that humanizing AI will help make intelligent machines not just more efficient but will also make their application more ethical and human-centric. Suggestions to policymakers, organizations, and developers are made on how to implement this framework to fix existing issues in AI and create a more symbiotic relationship between humans and machines moving into the future.
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Fenwick et al. (2022) studied this question.
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