Toward Datafied Human Enhancement: Concept, Functional Classifications and Ethical Issues

Abstract

This article presents a robust defense of the concept of ‘datafied enhancement’ as a subset of human enhancement. Firstly, the author notes that the widespread development of ICT and AI technologies has made it possible to collect and analyse human biometric data, thus integrating data into the concept of embodiment. Secondly, the author explores the cultural and intellectual history of datafied enhancement, highlighting the significant role that data has played in human evolution. Thirdly, the author examines the functional classifications of datafied enhancement, arguing that conversational, wearable, ingestible and embeddable technological devices can enhance physical, cognitive, emotional and moral capacities of individuals by collecting body data. Fourthly, the author underscores the importance of distinguishing datafied enhancement from dataism to avoid misconceptions. Finally, the author addresses potential ethical issues, such as data exclusivity, the uncontrollable data self, and privacy invasion. By acknowledging these risks, datafied enhancement can be guided to become a technology that respects human dignity and promotes the common good.