The importance of humanizing AI: using a behavioral lens to bridge the gaps between humans and machines

Author:

Fenwick A.ORCID,Molnar G.ORCID

Abstract

AbstractOne 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.

Publisher

Springer Science and Business Media LLC

Reference121 articles.

1. Fron C, Korn O. A short history of the perception of robots and automata from antiquity to modern times. In: Social robots: technological, societal and ethical aspects of human-robot interaction. Cham: Springer International Publishing; 2019. p. 1–12.

2. Devecka M. Did the Greeks believe in their robots? Camb Class J. 2013;59:52–69.

3. Homer. The Iliad. New York: Penguin Publishing Group; 1991.

4. Shelley MW. Frankenstein; or, the modern Prometheus. London: Printed for Lackington, Hughes Harding, Mavor & Jones; 1818.

5. Aristotle. The Rhetoric of Aristotle: an expanded translation with supplementary examples for students of composition and public speaking. New York: D. Appleton and Co; 1932.

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