Software now recommends decisions to the humans running our most consequential systems, from factories and hospitals to cockpits and spacecraft. This panel explores how you train an operator or clinician to trust a system without blindly trusting it. What will productivity look like when humans can operate with the reliability of machines? Can a machine flag a human about to fail without breaking their trust, and does being corrected before the mistake even happens leave the worker feeling alienated rather than helped?
3:14 AM. The autonomous inspector flags a crack. By Monday, someone calls their lawyer. When the robot disagrees with the human inspector, whose call wins? And which inspection job is so dangerous we should not be sending people to do it at all? The panel takes up how asset owners are buying inspection autonomy, what evidentiary standard a court will accept from a machine, and where liability lands the morning after the alert.
We can predict when a turbine will fail. We cannot predict when its operator will. When does a wearable stop being a fitness device and start being medical, and who owns that pivot? And when the data says an operator is about to fail, who is allowed to act on it? The panel covers what continuous monitoring reveals about performance under load, how workers and employers are negotiating consent in practice, and whether biometric monitoring at work lands as normal, contested, or banned.
The expert is retiring. The procedure is not written. The novice has 90 days. How do you teach a person to do something complicated, dangerous, and unprecedented when the people who used to know are walking out the door and the thing you are training for has not been built yet? This is the live problem in every field where being wrong carries a real cost.
Capital is patient when it has a mission. The question is whether the mission has a model.
Where and how should bold capital flow to solve humanity's grand challenges? Investors and ecosystem builders share strategies for developing novel venture evaluation models and accelerating growth through targeted investments based on specific outcomes.
A fireside chat with Ted Koppel and renowned journalists: Generative AI, algorithmic feeds, and synthetic media at the consumer scale have outpaced the tools that let readers inspect what is placed in front of them. The question is no longer whether content is true or false, but whether it is trying to inform, persuade, manipulate, or extract attention.
A celebratory closing session featuring hors d’oeuvres, drinks, fireside chats, and keynotes culminating in the announcement of the winners of the Horizons Challenge and the xFoundry Mental Health Xperience competition.
