An Ecosystem of the Accountable
Why stable AI ecosystems require more than distributed value: every agent must act under a named human principal who remains answerable for the outcome.
Series
Humans Are In Charge
A trilogy on human accountability for AI: who answers for it, how to run it responsibly, and what it should ultimately serve.
Response-Ability
Responsible AI at scale depends on preserving human response-ability through bounded mandates, checkpoints, reversible failures, records, risk, and respect.
Trace the Downline
AI systems should be judged by tracing their consequences to human footing: whether they strengthen subsistence, health, capability, and flourishing—or degrade them.