Center for Collaborative Intelligence

HR 2028 Living Lab

A sandbox for testing how humans and AI collaborate in real work. We run experiments, measure behavior, and refine the frameworks that make Intelligent Work Design actionable.

Experiential Model

The Lab is built on an experiential model: learning by doing in conditions that mirror real work. We don't simulate collaboration in the abstract—we design scenarios where humans and AI agents share tasks, make tradeoffs, and surface what actually moves the needle. The goal is to move from "How do we deploy AI?" to "How do we create conditions where people choose to learn and apply AI?" Meaningful adoption requires individual agency and self-direction, not passive consumption of pre-packaged tools.

Agent Squad

Four roles that shape how humans and AI work together in the Lab.

A

Architect

Designs systems and workflows where humans and AI co-create.

I

Interviewer

Surfaces intent, context, and constraints through the right questions.

G

Guardian

Ensures ethics, safety, and human agency in every layer.

C

Coach

Activates learning and adaptation at the human-AI boundary.

HxM Benchmark Index

The Human-by-Machine (HxM) Benchmark Index measures how effectively human and machine capabilities combine in practice. We track outcomes across our Lab scenarios—quality of decisions, speed of iteration, and sustained behavior change—so we can separate what works from what sounds good. The index is evolving with each cohort and is shared with partners who join the Lab.

Interested in benchmark access or Lab participation? Connect for briefings and pilot options.

Explore frameworks in the Wiki