Module Breakdown #

AI 101 guides you through seven carefully sequenced modules that build comprehensive AI understanding relevant to civil society work.

Core Foundations #

Introduction to AI module covers what artificial intelligence actually means, its evolution from 1950s academic experiments to today's practical applications, and the crucial distinction between narrow AI (what exists today) and theoretical general AI. Understanding AI's history helps you evaluate current capabilities realistically and avoid both uncritical hype and unnecessary fear.

AI Fundamentals #

AI Fundamentals explores how AI systems actually work, using interactive 3D visualizations to demonstrate key concepts. You'll understand the algorithms that power AI decision-making, why data quality determines AI effectiveness, and how different approaches solve different types of problems. The visual demonstrations transform potentially intimidating technical concepts into engaging, comprehensible explanations.

Machine Learning #

Machine Learning breaks down this crucial AI subset into supervised learning (learning from examples), unsupervised learning (finding patterns in unlabeled data), and reinforcement learning (learning through trial and error). Real-world examples connect these concepts to applications you might encounter, from recommendation systems to autonomous navigation.

Deep Learning #

Deep Learning focuses on neural networks that power many impressive AI capabilities. You'll understand how these systems, inspired by brain structure, process information through multiple layers to recognize images, understand language, and generate content. The module covers key architectures like convolutional networks for image processing and recurrent networks for sequential data analysis.

Large Language Models #

Large Language Models explains the systems behind tools like ChatGPT and Claude, covering their impressive capabilities alongside significant limitations and potential risks. This module emphasizes human oversight importance and includes practical considerations for organizations evaluating LLM adoption.

AI Applications #

AI Applications connects theory to practice, showing how AI is already integrated into daily life, business operations, and civil society work. From social media algorithms to environmental monitoring systems, you'll see AI's current impact and future potential across sectors relevant to nonprofit organizations.

Practical Resources #

Practical Resources provides actionable guidance. The CSO Resources module offers evaluation frameworks, ethical considerations, and curated tools specifically designed for civil society organizations. Drawing from The Engine Room's extensive work supporting responsible technology adoption, this module includes assessment checklists, vendor evaluation guides, and case studies of successful AI implementation in social change contexts.