Responsible AI in Education: The Case for Open AI

Focus: Methods or Design
Source: AI in Education
Readability: Expert
Type: Website Article
Open Source: Yes
Keywords: N/A
Learn Tags: AI and Machine Learning Design/Methods Education Research Centre Fairness
Summary: OpenStax's Richard Baraniuk has contributed this article to our FLOE project's AI in Education collection, supported by the Hewlett Foundation in partnership with Etika Insights. Richard's article advocates for designing AI tools to support teachers rather than replace them, enabling educators to focus on mentorship while technology handles routine tasks. He argues that building AI on open, equitable foundations is essential to prevent amplifying existing inequalities. The AI in Education collection examines AI’s role in education, highlighting both opportunities and risks while emphasizing the importance of responsible implementation.