Digital Ghosts, Moral Algorithms, and the Challenge of Teaching Ethics in the Posthuman Age

Abstract

The article tracks how AI sorting tools and profit-seeking metrics quietly rewrite the ethical rulebook of the university. Introducing the concept of “digital ghosts” to describe the artefactual traces of authorship, intent, and authenticity produced by technology-mediated work, it contends that current educational models encourage a posthuman form of responsibility characterized by weakened accountability. Through empirical vignettes—including algorithm-driven citation inflation, dissertations constructed with large language models, and a July 2025 incident in which institutional affiliations were openly sold on LinkedIn—the article documents an academy where ethical judgment is displaced by platform logic and metrics, and where growing dependence on dashboards increases integrity risks for students and faculty alike. It explains how algorithmic infrastructures reshape authorship and evaluation, examines the consequences across academic roles, and proposes a program to restore accountability that pairs provenance and audit-ready practices with pedagogy integrating technical literacy and ethical reasoning. The article concludes that academic integrity must be deliberately redesigned for digitally mediated scholarship rather than assumed to remain intact.