Riiid and DXtera Announce EdSAFE AI Alliance to Drive Healthy Ecosystem of AIEd Sector at ASU+GSV 2021 Summit

Riiid, a leading AI for education company and a member of Born2Global Centre, and DXtera, a nonprofit, member-based education consortium, announced that they have formed a cross-sector alliance of companies, non-profit organizations, and associations to launch an AI in Education (AIEd) benchmark initiative. Announced at the ASU+GSV Summit, the world’s leading EdTech conference, the initiative aims to increase public trust in AI in the education sector by establishing voluntary benchmarks and standards to measure the quality and reliability of new AI for education technologies.

“There has been a strong need for more cross-sector work and more coalition-based collaborative work to make the best use of technologies, talents, and resources we bring to the AIEd industry,” said Jim Larimore, Riiid’s Chief Officer for Equity in Learning and who leads the AI alliance formation effort. “We want to move from high-level benchmarks incorporated into learning tools to the ground level where education stakeholders are actually being impacted. Ultimately, we hope to solve what is basically a human rights matter: access to quality education for all.”

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“What has been lacking in the market is trust,” said Dale Allen, President and Co-Founder of DXtera Institute, the managing organization of the Alliance. “The most exciting part is that standards, specifications and processes can help students, teachers, and parents feel confident that AI-related products and services are safe and built with equity in mind.”

The alliance, officially named the EdSAFE AI Alliance, will seek to encompass four critical S.A.F.E categories – Safety (security, privacy), Accountability (defining stakeholder responsibilities), Fairness (equity, ethics, non-bias), and Efficacy (qualified improved learning outcomes). More broadly, the newly formed group will create and define industry standards.

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In addition, the alliance will explore, among other things, how to create anonymized data sets and open infrastructure to support the training and use of AI enabled education tools; how to ensure those tools are safe, equitable, fair, and unbiased; how to use random controlled trials and other rigorous forms of evaluation to provide objective measures of AI-powered educational tools and systems.

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