Onboard Intelligence vs Software Complexity
Confine high-risk AI decision logic to non-critical functions and use deterministic safety layers for critical spacecraft protection under EU AI Act risk tiering.
CyberTRIZ analysis · Space contradiction TSI016 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Greater onboard intelligence allows spacecraft to interpret sensor data, optimize resources, detect anomalies, plan activities, and respond without continuous ground involvement. However, sophisticated decision logic increases software states, interactions, verification requirements, and potential failure modes. Beyond a certain point, additional intelligence can make spacecraft behavior harder to understand and assure.
Space TRIZ Resolution
Intelligence should be organized hierarchically. Simple deterministic logic can control critical protective functions, while more sophisticated algorithms address bounded optimization or interpretation tasks. Complex decision-making should be activated only where it provides measurable operational value rather than becoming a universal layer across all spacecraft functions.
Applicable TRIZ Principles
Principle 1 – Segmentation separates intelligence according to function and criticality.
Principle 3 – Local Quality applies sophisticated decision capability only where it creates value.
Principle 15 – Dynamics activates advanced processing according to operational need.
Expected Outcome
Greater useful onboard intelligence
Lower software complexity
Improved verification
More predictable spacecraft behavior
Decision Indicators
Early indicators include:
Advanced algorithms are introduced into functions adequately handled by simple logic.
Verification effort grows faster than autonomous capability.
Operators struggle to predict software behavior.
Critical protection depends unnecessarily on complex decision systems.
Additional autonomy produces limited operational benefit.