Research

Three questions we keep coming back to

The work sits where organizations, people and computing meet. Each area feeds the books and the talks.

01

Organizations & AI

How teams take on AI, what changes in the way people work and decide, and how to keep a system doing what was intended rather than only what was asked.

Questions we ask

  • What does it mean to give an AI agent a place on the org chart?
  • How do standards shift once AI is doing part of the work?
  • Where does influence come from when people and systems share the work?
Shows up in: Influence Design in the AI Era
02

Accountability

When people and automated systems share decisions: who answers for what, how anyone can tell afterwards, and why good intentions drift over time.

Questions we ask

  • Who is responsible for a decision a person and a system made together?
  • What record would let someone check that decision later?
  • How do small, reasonable changes add up to drift?
Shows up in: The Physics of Governance (in draft) · Machines That Learn on the Job · Findings
03

Governed computing

Processor architecture. Today's chips check whether code is allowed to run; we study how hardware could also check whether an action is supposed to happen.

Questions we ask

  • What would a processor need to know to tell “allowed” from “intended”?
  • Where should a rule live — in the model, in the software, or in the silicon?
Where it goes: the lab's own chip designs — see Silicon.