Ethical AI for Educators

A video series by Ben Shapiro & Edwin Zhao

A video series designed for students and educators at education schools, surveying AI tools, developments, and their ethical implications. Videos cover topics including concepts like context engineering, how to use new agentic AI tools, and the significant ethical, security, and privacy considerations that come with them. The series concludes by discussing what more sociocultural and ethical AI for education could look like.

Beyond the Chatbot: 3 Levels of AI Reshaping Work, Ethics, and Privacy

Overview of some recent developments in AI that are reshaping work, ethics, and privacy. We explore Anthropic's Claude AI tools, including Claude Chat, Claude CoWork, and Claude Code, and what they mean for educators and working professionals.

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10 Things Educators Should Know About How AI Works

An interview and discussion with software developer and educator Edwin Zhao on 10 things valuable for educators to know about how AI works to empower educators to critique or use AI in their own work.

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AI Tools for Educators: Antigravity, VS Code, Cursor

A walkthrough of new and emerging AI tools like Google AntiGravity, Claude, Cursor, and VS Code to show what's possible for educators and professionals, plus how to think critically about permissions, ethics, and responsible use.

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AI Skills for Educators: Teach Your AI to Do More

What are AI skills and how can educators use them? In this video, Edwin walks through creating, using, and sharing custom skills to build and redesign a STEAM summer camp website.

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AI Agents for Educators: From Tool to Teammate

What happens when AI goes beyond following instructions and starts making decisions? In this video, Edwin breaks down what AI agents are and shows you how to create and use them to build, refine, and iterate on projects.

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What Writing With and Without AI Looks Like

What does it mean to be a writer in the age of AI, especially if you're a student or faculty? In this video, I trace the full life of an academic paper written without AI, from initial idea to publication. Then, I rewrite the paper with AI, using it in progressively more intense ways: beginning with prompting, shifting to context, building writing and reviewing agents, and then using them to iteratively develop the paper for a particular journal. I also walk through my own identity as a writer and close by reflecting on what's really at stake, learning, meaning, and identity, along with general principles for thinking about writing with and without AI.

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Towards More Sociocultural and Ethical AI for Education?

Most AI tools and frameworks are designed for one person talking to one machine (an "AI assistant"). But learning is social, cultural, and shaped by identity and relationships. In this video, I draw on the work of Rumman Chowdhury, Jean Lave, and Na'ilah Suad Nasir to frame what sociocultural and ethical AI for education could look like, highlighting five projects that illustrate possibilities for sociocultural and ethical AI: the Atlanta Interdisciplinary AI Network, Community Builder (CoBi), AI + Planetary Justice Alliance, Abundant Intelligences, and Co-ML by Apple.

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