Peer-Reviewed Journal Details
Mandatory Fields
Danaher, J. and Nyholm, S.
2020
Unknown
AI and Ethics
Automation, Work and the Achievement Gap
In Press
()
Optional Fields
Automation, achievement, meaningful work, artificial intelligence, responsibility gap, autonomy, mastery, community.
Rapid advances in AI-based automation have led to a number of existential and economic concerns. In particular, as automating technologies develop enhanced competency they seem to threaten the values associated with meaningful work. In this article, we focus on one such value: the value of achievement. We argue that achievement is a key part of what makes work meaningful and that advances in AI and automation give rise to a number achievement gaps in the workplace. This could limit people’s ability to participate in meaningful forms of work. Achievement gaps are interesting, in part, because they are the inverse of the (negative) responsibility gaps already widely discussed in the literature on AI ethics. Having described and explained the problem of achievement gaps, the article concludes by identifying four possible policy responses to the problem.
Grant Details
Publication Themes
Applied Social Sciences and Public Policy, Humanities in Context, Informatics, Physical and Computational Sciences