AI and Machine Learning MOC
This Map of Content explores the rapidly evolving landscape of Artificial Intelligence (AI) and Machine Learning (ML), with a focus on foundational concepts, applications, ethical concerns, and pedagogical implications.
AI is not just a technical domainโit is a social, cultural, political, and epistemological force reshaping education, labor, identity, and power.
๐ง Core Concepts
- Artificial Intelligence ๐น
- Machine Learning ๐น
- Neural Networks ๐น
- Deep Learning ๐น
- Natural Language Processing (NLP) ๐น
- Generative AI ๐น
- Large Language Models (LLMs) ๐น
- Supervised vs Unsupervised Learning ๐น
- Reinforcement Learning ๐น
- Computer Vision ๐น
๐ ๏ธ Applications & Tools
- AI in Education ๐ธ
- AI Writing Tools ๐ธ
- AI Image Generation Tools ๐ธ
- Voice Assistants and Smart Devices ๐ธ
- Facial Recognition Systems ๐ธ
- Predictive Policing ๐ธ
- Recommender Systems ๐ธ
- ChatGPT ๐ธ
- NotebookLM ๐ธ
- Google AI Studio ๐ธ
โ๏ธ Ethics & Societal Impact
- Bias in AI ๐ธ
- Algorithmic Accountability ๐ธ
- AI and Labor ๐ธ
- Surveillance AI ๐ธ
- AI and Democracy ๐ธ
- AI and Misinformation ๐ธ
- Ethics in AI ๐น
- Algorithmic Oppression ๐ธ
- Transparency vs Explainability ๐ธ
- Responsible AI Development ๐น
๐ Privacy & Security Concerns
- Privacy-Preserving AI ๐ธ
- Federated Learning ๐ธ
- Differential Privacy ๐ธ
- Homomorphic Encryption ๐ธ
- AI and Data Sovereignty ๐ธ
- AI and Cybersecurity ๐ธ
๐ Learning & Pedagogy
- Teaching AI Literacy ๐น
- AI in Kโ12 Education ๐ธ
- Ethical AI Curriculum ๐ธ
- Computational Thinking ๐น
- AI as Cognitive Amplifier ๐ธ
- AI for Inquiry-Based Learning ๐ธ
- Media Literacy and AI ๐น
๐ฒ Evergreen Notes
- AI-Boundary-Co-Construction ๐น - Framework for human-AI interaction and boundary work
- What AI Cannot Know ๐น - Tacit knowledge, embodied learning, and AI limits
- AI and the Question of Self ๐ธ - Self vs. subject distinction in the age of AI
- AI Geopolitics and the Open Model Question ๐ธ - Open vs. closed models and infrastructure control
- HITL Pedagogy Toolkit ๐น - Human-in-the-loop classroom practices and prompts
- AI Detection and Authentic Assessment ๐น - Beyond detection tools to authentic assessment
- Frameworks for Thinking About AI in Education ๐ธ - Bentoism, contingency, and evaluating AI claims
๐งญ Critical & Interdisciplinary Perspectives
- Critical AI Studies ๐ธ
- Feminist AI ๐ธ
- Decolonizing AI ๐ธ
- Abolitionist Tech Futures ๐ธ
- AI and Climate Justice ๐ธ
- AI Narratives in Popular Culture ๐น