AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
Free AI library
30 plain-English guides, structured learning paths, and an open library — built by an independent 501(c)(3) nonprofit so anyone can understand modern AI.
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Each course includes explicit outcomes, mapped competencies, practice activities, and an applied capstone.
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
Use AI productively while protecting privacy, checking outputs, and preserving human accountability.
Evaluate workplace use cases, run safe pilots, measure value, and communicate changes responsibly.
Analyze AI systems through rights, equity, governance, safety, and public-interest outcomes.
Understand language models, retrieval, agents, evaluation, cost, and deployment safeguards through practical system design.
Topic tracks
Jump into the area you care about. Every track has multiple plain-English guides.
Full library
30 av 1019 guides shown. Filter by track or search above.
AI ethics examines how AI development and use affect people, institutions, and the environment.
SocietyAI can change the tasks inside jobs, the way work is organized, and demand for particular skills.
SocietyAI security protects models, data, tools, and surrounding services from unauthorized access or manipulation.
SocietyAI regulation is the set of legal requirements that can apply to developing, selling, or using AI systems.
SocietyCommon AI myths confuse a system’s observable behavior with broader claims about knowledge, reliability, autonomy, or understanding.
SocietyThe future of AI is uncertain and depends on technical progress, resources, policy, economics, and human choices.
SocietyAI affects society through the institutions, services, information systems, and workplaces that adopt it.
SocietyModellextraktionsattacker låter en motståndare klona en proprietär AI-modell bara genom att fråga dess offentliga API och träna en copycat på svaren.
SocietyBelöningshackning är när en AI maximerar sin belöningssignal på oavsiktliga sätt istället för att göra vad designers faktiskt ville.
SocietyEn medlemskapsattack försöker avgöra om en specifik persons data användes för att träna en modell, bara genom att sondera modellen.
SocietyDataförgiftning korrumperar en modell genom att manipulera dess träningsdata, och bakdörrsattacker döljer en hemlig utlösare som får modellen att missköta sig på kommando.
SocietySnabb injektion är när dolda eller skadliga instruktioner kapar ett AI-system för att ignorera dess regler och göra angriparens bud.
Check what you learned with topic quizzes, then explore our structured courses and current certification requirements. Core guides remain free to read.