Are higher-education assessments (e.g., papers, presentations, exams) rendered more or less fair by the use of AI software? As AI tools are increasingly used to design, administer, complete and  evaluate  higher-education  assessments,  it  becomes  crucial  to  reflect  on  their  promises and pitfalls.

This project relies on the value of fairness to develop a normative  framework  for  analyzing,  evaluating  and  regulating  AI-assisted  assessments. Drawing  on  scholarship  on  fair  assessment  practices, and combining interdisciplinary expertise and methods from 5 Leiden faculties  and  one  inter-faculty  institute,  the  project rethinks  and  operationalizes  what  fair educational assessment means in the age of AI. By so doing, it anticipates on the challenges that AI-assisted assessments present for student-teacher relations, and on the human, as well as socio-economic costs and opportunities they create for universities.

• artificial intelligence
• assessment

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