Insights
Insights on social intelligence, human behavior and AI.
Explainers and analysis from HUTE Research. Each article cites its sources, and the longer evidence reviews live under Research Publications.
Evaluation
Building Better Benchmarks for Emotional and Social Reasoning
Why most AI benchmarks for social and emotional reasoning are weaker than their scores suggest, and eight design rules for building ones that measure what they claim.
Why Cultural Context Matters in Artificial Intelligence
AI models reflect particular cultures. What studies show about Western-skewed emotion, opinion and values in language models, and what better evaluation requires.
Perspectives
How Human Psychology Can Inform Better AI Systems
Psychology gives AI researchers tested tasks, measurement theory and warnings about whose behavior counts as normal. How to borrow from it carefully.
The Future of Human Connection in an AI-Powered World
Relationships matter for health and opportunity. How AI could help people meet and stay connected, where it could erode connection, and the principles that keep it human.
The Future of Human-AI Relationships and Personal AI Agents
Personal AI agents will write and schedule for us. What research says about AI-mediated communication, companion chatbots and trust, and how to keep humans in charge.
The Next Frontier of AI: From Language Intelligence to Social Intelligence
AI moved from predicting text to following instructions to acting as an agent. The next step, handling people, memory and multi-party situations, is a different problem.
Infrastructure
Human Expertise, Training Data, and the Economics of AI Development
Where human knowledge enters AI, why curated expert data can beat volume, how data scarcity and model collapse matter, and what consent and fair pay require.
What Are AI Production Traces, and Why Do They Matter?
A production trace is the record of an AI doing real work. Why traces reveal what benchmarks miss, how they become training tasks, and what rights and privacy limits apply.
Research explained
Reinforcement Learning for Socially Intelligent AI Agents
How reinforcement learning from human feedback, verifiers and multi-agent training apply to social behavior, and why rewards for tact, consent and honesty are hard to write.
Theory of Mind in Large Language Models: What Can AI Actually Understand?
Language models now pass many false-belief tests, yet fail small variations. What the studies show, why they disagree, and how to read claims about AI understanding.
Foundations
What Is Social Intelligence in Artificial Intelligence?
Social intelligence in AI is the ability to understand and act well among people. Here is what it includes, how it differs from sounding friendly, and how it is measured.
Why AI Needs to Understand Human Behavior
AI now writes, schedules and mediates between people. Without a model of how people behave, it misreads intent, flatters instead of helping, and fails at real tasks.