Poster - #VH-85002 - Keywords: AI Data, Data Privacy, Data Quality, Data Bias, Responsible AI, Ethical AI

The 1EdTech AI Data Rubric, A Supplier Self Assessment

Mark Daley (Western U., Canada), Lorne Rodriguez (Chicago Public Schools), Frankey Goss (Accelerate Learning), Shivani Stumpf (PowerSchool), Dominick Meglio (PowerSchool), Bill Jerome (Vital Source), Ryan Lufkin (Instructure/Canvas), Eric Galis (Cengage), and Beatriz Arnillas (1EdTech)
1EdTech Foundation, Chicago Public Schools, Western University (Canada), PowerSchool, Accelerate Learning, Vital Source, Instructure/Canvas, and Cengage.

ABSTRACT:
The 1EdTech AI Data Rubric is a supplier self-assessment. Suppliers use the rubric to analyze all their AI data practices, including the data model, user prompt data ownership and governance, ongoing data performance, and feedback loops to ensure data quality. Educational institutions also use the AI Rubric as a guide to ask all the proper questions during an RFP process or before making a purchasing decision.