References: AI-Customized Curriculum and Rolling Out New Agents¶
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Algorithmic bias - Wikipedia - Explains how automated systems can produce systematically unfair outcomes, the concept behind this chapter's AI-bias-awareness section.
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Machine translation - Wikipedia - Covers how software translates between languages and where it still falls short, the background for this chapter's AI-assisted-translation section.
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Mental model - Wikipedia - Explains how learners build internal representations of how something works, the concept behind this chapter's building-student-mental-models section.
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Race After Technology: Abolitionist Tools for the New Jim Code - Ruha Benjamin - Polity - Benjamin is widely credited for analyzing how automated systems can encode and amplify bias, the reasoning behind this chapter's AI-bias-awareness section.
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Mindstorms: Children, Computers, and Powerful Ideas - Seymour Papert - Basic Books - Papert's constructionist theory of how learners build internal mental models through hands-on construction is the direct source for this chapter's building-student-mental-models section.
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AI Risk Assessments - Common Sense Media, Youth AI Safety Institute - Independent risk ratings for AI tools used with children and in schools, directly supporting this chapter's AI-tool-selection-criteria and AI-agent-vendor-comparison sections.
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Getting Started on a Responsible AI Use Policy for Nonprofits - Candid - Practical guidance on scope, data handling, and prohibited uses, supporting this chapter's AI-data-privacy-risk section for a club rolling out a new agent.
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What Are AI Agents? - IBM - Explains how an AI agent plans, acts, and reviews its own output, background for this chapter's AI-assisted-lesson-customization and AI-generated-challenge-card sections.
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Khanmigo - Khan Academy - Rated low risk by independent evaluators, a real-world model this chapter references for what responsible AI-assisted tutoring and debugging help can look like.
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Digital Citizenship Curriculum - Common Sense Education - Free lessons on evaluating and using AI and digital tools responsibly, supporting this chapter's AI-bias-awareness and AI-tool-selection-criteria sections.