Areas of exploration
Where can intelligence make a difference?
AI in serious domains
Questions at the intersection of advanced AI and science, medicine, and infrastructure, where evidence and domain context matter.
Questions in this area
- Which questions in science, medicine, and infrastructure are well suited to a carefully bounded AI system?
- What domain knowledge and review are needed to judge an output in its actual setting?
- How should an evaluation account for the consequences of errors and the work required to correct them?
What useful evidence looks like
An applied question needs a clearly defined setting, relevant data, and evaluation criteria informed by the domain. Useful evidence includes how an output is checked, where responsibility sits, and what happens when the system fails. The value of the work depends on the complete process and its consequences. This area brings technical evaluation into contact with the people and conditions that give a task its meaning.
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