Table 4 Overview of key pathways derived from BERTopic modeling.
Pathways | Theories/Frameworks mentioned | AGI concepts used | Keywords |
|---|---|---|---|
Societal pathways of human-like AI | Computers as Social Actors (CASA), PESTEL Framework | Empathy, Interaction Quality, Anthropomorphic Design | “human level”, "human-like AI", “AI safety”, “decision making”, “machine learning”, “Turing test”, “progression”, “social change” |
Technological pathways toward AGI | Explainable AI (XAI), Reward Maximization Hypothesis, Logical AI | Transparency, Reinforcement Learning, Representation Problems | “evolution”, “advancements”, "real-world effects", "artificial general intelligence", “big data”, "human-level", “ethical considerations”, “policy”, “governance” |
Pathways to explainability in AGI | Reinforcement Learning Framework, LDA Topic Modeling, AI Experimentation Platforms | Problem Solving, Task-Specific AI | “reinforcement learning”, “machine learning”, "artificial general intelligence", "natural language processing", "next-generation", “innovation”, “trends” |
Cognitive pathways and ethics in AGI | LIDA Model, Global Workspace Theory, AI-Completeness Theory | Moral Decision Making, Turing Test, Neurocomputers | “cognitive architectures”, “machine consciousness”, “common sense”, “strong AI”, “ethical considerations”, “governance”, “future” |
Brain inspired pathways toward AGI | Hybrid Tianjic Architecture, Neuroevolution, Statistical Sample Complexity Theory | Real-time Processing, Network Optimization, High-Dimensional Processing | “neuromorphic computing”, “working memory”, "brain-inspired computing", "cutting-edge", “breakthrough”, “projections”, "next-generation" |
