MOMENTS RESEARCH · 04
AI Assessment & Alignment
Continuous measurement of what a person or agent can do, where it fails, how certain it is, and whether it is improving safely.
IN RESEARCH
Active research agenda
Questions guiding our workROLE IN THE MOMENTS LOOP
The evidence layer of the Moments Loop: outcomes become signals for capability, uncertainty, safety and progress.
CONTEXT
Text · Image · Audio · Video · Behavior
- 01Perceive
- 02Model
- 03Plan & Act
- 04Assess
- 05Evolve
EVIDENCE
Outcomes · Capability · Uncertainty · Safety
OPEN QUESTIONS
What we are trying to understand.
- 01
What evidence demonstrates capability rather than familiarity or fluency?
- 02
How can evaluation remain useful as tasks, people and models change?
- 03
Which safeguards should gate a proposed system update?
RESEARCH BOUNDARIES
How the work stays grounded.
- Assessment results need a named scope, method and date.
- A metric without context is not treated as proof of general capability.
- Evaluation complements human judgment; it does not erase accountability.
PUBLIC RECORD
Methods, results and lessons from the work.
Our research notes will explain what we explored, what the evidence shows and what remains open.
No publications yet
Explore the research questions above while we prepare work to share.