AERA Division D and National Council on Measurement in Education: Examining Artificial Intelligence and Machine Learning Through a Fairness and Equity Lens

Session Type: Invited Speaker Session

Abstract

In this jointly organized AERA Division D and NCME session, assessment experts in the use of AI/ML applications and tools will have a structured panel discussion on how to address fairness and equity issues when using these tools. The conversation will examine process data, scenario- and game-based assessments, innovations in training scoring engines, and relevant AI learnings from adjacent fields such as computer science, engineering, and data science. Panelists will delve deeply into associated fairness concerns and mitigating strategies and on the impact of AI on developing cogent validity arguments and in making better decisions based in examinee scores.

Sub Unit

• Division D - Measurement and Research Methodologies / Division D - Measurement and Research Methodology

Chairs

• Hongwen Guo, Educational Testing Service

• Nielsen Pereira, Purdue University/Gifted Education Research & Resource Institute

Moderator

• Mary Pitoniak, Educational Testing Service

Panelists

• David Dorsey, HumRRO

• Jack Buckley, Roblox

• Kadriye Ercikan, Educational Testing Service

• Steve Ferrara, HumRRO