Making AI Education Products Fair for All Learners

What is it about?

In this chapter the IEEE CertifAIEd Algorithmic Bias Ontology and its Criteria Suite and the IEEE 7003 standard of Algorithmic Bias Consideration will be reviewed to demonstrate how the unique characteristics of neural diverse learners within the AI-Learning Ecosystem can be considered and how AI-Learning systems can be optimized for all learning stakeholders. By intentional bias consideration, the outcomes of AI-Learning systems can be measured against unwanted bias and thereby evaluated for fairness and compliance of national and regional legislation.

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Why is it important?

The AI education market has exploded and is growing at an exponential rate. Yet research is scarce on the equitable impact of AI education products on up to 30% of learners within neural diverse spectrum.