Analysis · Technology
More HR Automation Did Not Reliably Signal Stronger AI Ethics
By AWEI · AI-compiled · Published · Analysis prepared · 1 source · doi.org
An automated HR workflow can have human reviewers without scoring highly on ethical safeguards. In a Nepalese survey, automation was associated with reported human oversight, but its relationship with reported ethical AI practices was not statistically significant after accounting for general AI adoption and analytics use. These were distinct measures of governance.
Manoj Varghese and Umesh Jeet Sharma’s 2026 study surveyed 260 HR professionals, line managers and employees across several sectors in Nepal. Participants answered five-point questionnaires about technology use, governance and perceived decision effectiveness. Ethical practices covered issues including transparency, accountability and bias mitigation; oversight concerned human discretion and judgment over AI decisions.
The researchers used separate regression models to examine which technology measures were associated with each governance measure. Automation remained associated with oversight when adoption and analytics were included. For ethical practices, the pattern differed: adoption and analytics had significant positive associations, while automation’s estimated association was close to zero. That does not establish that automation and ethics are unrelated in every setting.
This distinction matters when interpreting an AI rollout. A count of automated processes cannot substitute for an assessment of ethical safeguards. Nor does reported human involvement demonstrate that reviewers successfully detect unfairness. The study measured respondents’ perceptions, without independently auditing decisions or testing whether reviewers exercised effective control.
Its limits also constrain the explanation. The survey captured one point in time and used purposive selection, so it cannot show whether technology changed governance or better-governed organizations chose particular technologies. Although eligibility referred to implemented systems, 35% reported AI use was still in process. Results may not transfer beyond this sample.
For an HR technology evaluation, the useful question is what each governance measure actually captures. Review participation, transparency and bias mitigation deserve separate scrutiny. This study offers a reason to examine those distinctions; it does not prove that any particular oversight arrangement improves decisions.
Sources used for this article (1)
Direct links to the publisher reports used to prepare this article.
- Source 1
- Impact of Artificial Intelligence on Human Resource Decision-Making: The Mediating Roles of Ethical AI Practices and Human Oversight in Nepalese Organizations Manoj Varghese, Umesh Jeet Sharma
