- Who runs it
- National Aeronautics and Space Administration
- Can it affect people?
- Yes. It may support a decision about a person, such as access to a service, place, payment, or permit.
- Possible rights impact: Direct decision or access
How much do we know?
A source is a published page or document behind a claim. The label measures what is documented, not whether a system is good or safe. Missing information does not prove that a safeguard is missing.
Sources and further reading
- 2025 U.S. Federal Agency AI Use Case Inventory / U.S. Federal Agency AI Use Case Inventory / 2026-04-13
optional detailFull record and details
The interface and explanatory guides are translated. Record names, record descriptions, quotations, detailed editorial notes, and linked public documents stay in their published language so evidence is not silently changed.
What it does
SURFAS, given the above combination of inputs for a particular vehicle, is informed by expertise of mission designers to fuse relevant data together in order to create a holistic map of the scene, combining all information that the agent can perceive about that scene; e.g. the hyperspectral imager may autonomously tag identify an area of geological interest to the mission, Using data from a LiDAR scan, the robot can plan a path to reach the area. That path can be modified to avoid a patch of soil that the ground penetrating radar identifies as soft an...
If this affects someone
agency-caio@mail.nasa.gov
Sources and further reading
First indexed from U.S. Federal Agency AI Use Case Inventory on 2026-09-03. Only usable fields from the public record are shown; missing answers remain blank.
Fields were mapped from the linked public record by deterministic code. No generative model wrote this text.
Facts to check
- Who runs it
- National Aeronautics and Space Administration
- Life area
- Transport
- Proof level
- Source-backed
- Footnotes
- 1
- updated
- 5 months ago
The score orders work, not people.
Review priority rises for rights-sensitive uses, missing sources, unanswered accountability fields, and old evidence. Strong official documentation lowers it. The score is not a verdict on safety, fairness, or legality.
A missing field means the attached public sources did not answer it. Coverage is uneven, publication does not prove performance, and a certificate has a defined boundary.
Previous versions
- Imported14 days agoPartialImported from U.S. Federal Agency AI Use Case Inventory.
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