Open Education Analytics is committed to Responsible AI
Open Education Analytics shows how to ensure data and AI are used responsibly and ethically in education systems.
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To ensure the appropriate and ethical use of student data, OEA applies Microsoft's Responsible AI principles. These principles include fairness, reliability and safety, privacy and security, inclusion, transparency and accountability.
Design your Data and AI use case to embed Responsible AI principles
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A use case template for education systems to use as they plan how their data will be used and governed for specific analytics and AI purposes.
OEA Responsible AI Overview
OEA shows how to ensure data and AI are used responsibly and ethically in education systems.
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Accelerating Learning Analytics and AI in Education
A paper on Microsoft Education's development and application of analytics and AI through OEA in the current global education context.
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Microsoft's Responsible AI Principles for All
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Click on the cards below to watch videos for each of our Responsible AI principles.
Reliability & Safety
AI Systems should be reliable and safe to use.
Inclusiveness
AI Systems should engage everyone.
Transparency
AI Systems should be transparent.
Fairness
AI Systems should be fair and treat all people equally.
Privacy & Security
AI Systems should be secure and respect people's privacy.
Accountability
Be accountable for AI systems built.
