Bankins and Formosa map AI's split effect on meaningful work

AI's effect on meaningful work splits by how it is deployed, not by what the technology does, Macquarie University researchers Sarah Bankins and Paul Formosa argue in a Journal of Business Ethics paper. They examine three deployment paths (task replacement, "tending the machine", and skill amplification) across five dimensions of meaningful work: task integrity, skill development and application, task significance, autonomy, and belongingness.

The paper leans on the AI4People framework's five principles: beneficence, non-maleficence, autonomy, justice, and explicability. "To see your life as meaningful is to see it as rich, valuable and worth living, and that is clearly of ethical significance," Formosa said in coverage by TechXplore. Meaningful work, the authors write, "respects workers' autonomy and their ability to exercise complex skills in helping others, contributes to their well-being and allows them to flourish as complex human beings."

Not every path lands the same way. "Can those staff now do work that is more interesting, better uses their skills or gives them more interaction time with patients?" Formosa asked, framing the job-design question organisations face when AI arrives.