Paradigms & Mental Models
Understanding how metaphors and mental models shape AI safety research, policy, and development
Topics
Introduction to AI Paradigms
Overview of 40+ paradigms shaping AI safety discourse, from competition to cooperation models
Cultural Paradigms in AI
How different cultures conceptualize AI: Western, Eastern, Indigenous, and Global South perspectives
Paradigm-Driven Research
How paradigms shape research priorities, funding, and safety strategies
Paradigms in Practice
Applying paradigm analysis to real AI safety challenges and switching paradigms for new insights
Creating New Paradigms
Developing novel metaphors and frameworks for emerging AI capabilities and risks
AI Development Factions & Paradigm Analysis
Analyzing how major AI organizations operate under different paradigmatic frameworks and the strategic implications
Comprehensive AI Paradigms Analysis
A complete analysis of 40+ paradigms shaping AI safety discourse, with detailed examples, proponents, and implications for safety research