Governed autonomy
How can AI systems be given meaningful independence that remains bounded, revocable and auditable, and how should that autonomy expand as trust is earned?
Research
Our research asks how intelligent systems can be given real responsibility while people keep meaningful control, and how technology can strengthen deliberate human choice.
Research areas
How can AI systems be given meaningful independence that remains bounded, revocable and auditable, and how should that autonomy expand as trust is earned?
How can work be evaluated by parties separate from those who produced it, so that results are judged on evidence rather than self-report?
How should permission be expressed, narrowed, delegated and withdrawn across people, organizations and machines, and how do we keep it traceable?
How can governance and institutional knowledge outlast any individual model, vendor or execution environment?
How can technology help people notice their reactions and act on their values, without becoming another source of compulsion?
As capable AI becomes widely available, what structures ensure it expands what individuals can do rather than concentrating control?
How we publish
Our research is ongoing. We publish findings once they have been checked and are ready for outside review, and we would rather say less than overstate what we know.
Publications, technical notes and talks will be listed here as they become available. Until then, this page describes the questions we're pursuing rather than conclusions.
Researchers working on related problems are welcome to get in touch.
Publications
No publications are available yet. Check back, or ask to be notified when the first ones are released.