Technocracy is an expert-based type of governance. In its strongest sense, it is a form of government in which decisions across all sectors and policy domains follow evidence-based, efficiency-oriented procedures grounded in scientific methods and instrumental rationality. In a weaker sense, the term refers to hybrid models that delegate specific functions to experts or implement expertise-driven decision procedures in areas such as central banking, public health, or environmental regulation.
Technocracy is a system of government where decisions are made by experts using scientific methods and evidence rather than by elected politicians or popular vote. It matters because it represents a fundamental choice about who should decide policy—whether technical specialists optimizing for efficiency and evidence, or representatives chosen through democratic processes.
AI-generated from the Wikipedia summary — may contain errors.
Technocracy is an expert-based type of governance. In its strongest sense, it is a form of government in which decisions across all sectors and policy domains follow evidence-based, efficiency-oriented procedures grounded in scientific methods and instrumental rationality. In a weaker sense, the term refers to hybrid models that delegate specific functions to experts or implement expertise-driven decision procedures in areas such as central banking, public health, or environmental regulation.
Technocracy is often regarded as a challenge to democracy since it grounds political legitimacy in elite expertise, while democracy justifies itself as the rule of the people. One approach to resolving their tensions suggests that democratically elected officials choose political goals, while technocrats choose the most efficient ways to realize those goals, serving as advisors and implementers. Technocracy is closely related to meritocracy, expertocracy, epistocracy, managerialism, and algocracy. It contrasts with populism, which frames politics as a struggle between common people and a perceived elite.
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).