Scaling Human-Centered AI

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How to build AI systems that scale while keeping humans meaningful and in control. Learn patterns for augmentation, decision distribution, and human-AI collaboration at different scales.

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01
What is human-centered AI?
Stanford HAI: Human-Centered Artificial Intelligence↗
Stanford HAI's definition: AI guided by human impact, inspired by human intelligence, designed to augment not replace.
02
Design principles for human-centered AI
How Do We Design and Develop Human-Centered AI?↗
Concrete design principles for AI that communicates, collaborates and augments people effectively.
03
Augmentation vs automation: when to choose which
Augmentation vs. Automation: How AI Transforms Workforce Efficiency↗
Automation removes predictable rules-based work. Augmentation supports human judgment in complex decisions.
04
The math of human-AI collaboration
Roles of Artificial Intelligence in Collaboration with Humans↗
Management Science research: when AI automates, when it augments, when humans work alone. Optimal task allocation.
05
How augmentation works in real workplaces
Understanding Human-AI Augmentation in the Workplace↗
Systematic review of human-AI augmentation patterns in production environments.
06
How AI is reshaping team dynamics
Stanford HAI Launches AI and Organizations Lab↗
New lab studying AI's effect on workplace coordination, jobs, and team structures.
07
Designing org structures for human-AI work
Augmentation, Not Automation: Designing Workplaces Where Humans Thrive↗
Start with augmentation. Automate stable steps over time. Keep humans on judgment-heavy work.
08
The economics of partial automation
Economics of Human and AI Collaboration: When is Partial Automation More Attractive than Full Automation?↗
Why hybrid systems often beat fully automated ones, even when AI could technically do the task alone.
09
When HITL doesn't scale: the wall
Human-in-the-loop has hit the wall. It's time for AI to oversee AI↗
Critical view: HITL was built for discrete decisions. It breaks at billion-user scale. What comes next.
10
Scaling responsibly: a framework
Responsible AI Implementation: A Human-centered Framework for Accelerating the Innovation Process↗
End-to-end framework for scaling AI products while keeping humans meaningful and in control.