Independent research initiative
Every interaction with AI begins with a human decision.
SAGE studies how people make better decisions with artificial intelligence—and how those decisions shape quality, trust, learning, productivity, and sustainability.
AI is advancing rapidly.
But every outcome still begins with human choices: the question we ask, the answer we trust, the information we verify, and the moment we decide whether AI should assist—or whether human judgment should lead.
SAGE exists to study those choices and help improve them.
Research agenda
From sustainable AI use to better human judgment.
Green AI
Exploring how better human–AI interaction can reduce unnecessary computation without reducing quality.
The Decision Point Framework
Clarifying when AI should assist, when human judgment should lead, and how outcomes can improve.
Human–AI Decision Making
Studying the behavioral choices that shape trust, learning, accountability, and adoption.
First publication
Working Paper No. 001
Our first paper examines whether small changes in how people interact with AI can reduce computational waste while preserving useful outcomes.
View publications →Founding reflection
Why Green AI became SAGE.
A sustainability project led to a larger question: how can people make better decisions with AI?
Read the reflection →Meet the founder
Built from a question about better decisions.
After more than two decades in commercial leadership across Asia and North America, Praveen Gangaraju founded SAGE to explore a new question: how can people make better decisions with AI?
The initiative began with Green AI research at UCLA Anderson and is growing into a broader platform for practical, evidence-led work on human–AI decision making.
Read the founder story →