EVΛƎ Space AI Demo: Transparent Lunar Landing Decisions
This demo imagines a scenario where an AI system helps select a landing site for a lunar mission. By entering what you want the AI to decide, the EVΛƎ framework generates: candidate options (V), the final choice and its rationale (Λ), and a transparency log (Ǝ), so we can see how a safe and accountable space AI could be designed.
* This is a fictional scenario to illustrate the EVΛƎ structure. It does not use real mission data.
E
E — Impulse V
V — Possibility Λ
Λ — Choice Ǝ
Ǝ — Observation