What must remain human?
Where human judgment still beats delegation—and what breaks when we hand over too much.
The symposium moves between small-group work, demonstrations, share-backs, and collective synthesis. The questions and participants will shape the final agenda.
Twelve questions will frame the day. They address choices already appearing inside products, organizations, teams, markets, and public life.
Where human judgment still beats delegation—and what breaks when we hand over too much.
Which combinations are working now—from copilots and multi-agent workflows to agents that return work to a person mid-task—and what reduces handoffs rather than creating more of them.
When an agent can act, who sets the limits—and who is responsible for the result?
What a system must prove before it runs mission-critical work in insurance, finance, or health—and how we respond when agents fail, are attacked, or manipulate resources, identity, or information.
Autopilot versus co-piloting—and how daily use affects attention, learning, confidence, expertise, and relationships.
How much agents should learn about our habits, emotions, and vulnerabilities, when personalization becomes persuasion, and which behavioral data should remain off-limits.
How management, collaboration, and culture change when agents join the team, who owns AI inside an organization, and which skills people need but do not yet have.
How pricing shifts from hours to outcomes, what agents cost to operate at scale, and what changes when they become core infrastructure rather than pilots.
Who gains time, money, and power from AI—and who may be left with less.
Which foundations—memory, knowledge organization, cognitive architecture, and evaluation—must be built before these systems can hold up at scale?
How agents enter robots, vehicles, and factories—and where they can extend human perception and cognition rather than replace it.
Which research, standards, rules, and institutions must catch up with what is already shipping—and who will build them?
The specific conversations and contributors change each year, but the symposium follows this working structure.
What has changed, what we know now, and which questions require the room.
Small-group discussions shaped by the questions and experience participants bring.
Continued conversation and useful introductions across the room.
Short contributions from people building, studying, and putting these systems to work.
What became clearer, where people disagree, and what deserves action next.
After the symposium, attendees will receive a concise record of the strongest insights, disagreements, emerging patterns, and priorities identified during the day.
Private comments will not be attributed without permission.
Human+AI Co-Evolution Symposium