Situating AI in assessment—an exploration of university teachers’ valuing practices

Abstract Emerging AI technologies are changing teachers’ assessment practices and posing higher education institutions with novel ethical dilemmas. While frameworks and guidelines promise to align technology with moral and human values, the dilemma of how AI may impact existing valuing practices is often overlooked. To examine this gap, we conducted an interview study with university teachers from different disciplines at a university in Sweden. Following a semi-structured study design, we explored university teachers’ anticipations of AI in assessment and examined how emerging AI technologies may reconfigure the fit between values, challenges, and activities situated in everyday assessment contexts. Our findings suggest that anticipated AI, including automation and AI-mediated communication and grading, may amplify and reduce teachers’ possibilities to align activities with professional, pedagogical, and relational values and solve current challenges. In light of the study’s findings, the paper discusses potential ethical issues in the anticipated shifts from human to automated assessment and possible new and reinforced challenges brought by AI for education.