AI in the Assessment Ecosystem: A Human–Centered AI Perspective

Artificial IntelligenceArtificial intelligence (AI) (AI) is increasingly embedded in the processes of digital, high–stakes educational assessmentsEducational assessment across test development, measurement, and security. As the use of AI in any setting impacts humans, this brings ethical considerations into play. To that end, human–centered AI introduces an ethical perspective. Human–centered AI refers to the development and implementation of AI technologies that prioritize human values, needs, goals, and decision power in system design. This chapter explores assessmentAssessment drivers that reflect human–centered AI priorities for modern, AI–powered assessments. The chapter explores connections among three critical drivers for digital assessments that draw on human–centered AI principles: (a) a validity argument that considers the use of AI, (b) human-in-the-loop AI practices in assessmentAssessment, and (c) responsible AIResponsible AI standards as a professional responsibility. The chapter discusses how these three assessment drivers interact within an assessment ecosystem, and contribute to safe AI assessment practices.