Social Sciences Applied to AI

The practice of using insights from sociology, anthropology, psychology, and political science to design, understand, and regulate artificial intelligence. It recognizes that AI systems are not neutral math problems but are embedded in human social contexts. This field asks: How will this algorithm affect community dynamics? What social biases is it learning? How does it change power structures? It's the antidote to the naive view that AI is just code, reminding us that every AI is also a social actor.

Example: "They built a great recommendation engine, but without social sciences applied to AI, they accidentally created filter bubbles that radicalized their users."

by Dumu The Void March 11, 2026

AI Applied to Social Sciences

The use of artificial intelligence and machine learning as powerful new tools for social science research. This includes using large language models to analyze centuries of text, employing computer vision to study non-verbal behavior in archived footage, or building agent-based models to simulate the spread of ideas or diseases through populations. It's the computational revolution coming for sociology and anthropology, offering the ability to find patterns in data too vast for any human researcher to process.

Example: "He used to spend years interviewing people; now with AI applied to social sciences, he just feeds millions of Reddit comments into an algorithm and calls it a day."

by Dumu The Void March 11, 2026