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Predictive User Interfaces
How do we trust a machine's recommendation, without surrendering our own judgment?
AI can increasingly anticipate what we need and recommend what we should do next. The more accurate those recommendations become, the easier it is to rely on them, even when the stakes are high.
Human Performance Monitoring
What happens when machines can predict our failures?
We can predict when a machine is approaching failure and intervene before it happens. Now we're beginning to do the same with people, detecting fatigue, stress, and declining performance before the person themselves may know.
Autonomous Asset Inspection
When the machine and human disagree, who decides, and who is accountable for what happens next?
Autonomous systems can inspect the bridges, utilities, and infrastructure we depend on faster, more often, and without putting people in harm's way. But spotting a problem and deciding what to do about it are two different things.
Adaptive Learning
How do you train for work that has never existed before?
Some of our most experienced workers are retiring with decades of knowledge that was never written down. At the same time, emerging technologies are creating jobs, tools, and missions no one has encountered before.
Solution-Based Investments
What if capital organized around problems instead of companies?
Most investment starts with a company and asks whether it can grow. Grand challenges suggest a different starting point: begin with the outcome that needs to change, then find and fund the solutions that can change it.
Context-Aware Media Literacy
How do we understand what information is trying to do, not merely whether it's true?
We were taught to ask whether information is true or false. But in a world of synthetic media, algorithmic feeds, and content engineered for attention, something can be completely true and still be designed to manipulate us.
