Sustaining AI safety: Control-theoretic external impossibility, intrinsic necessity, and structural requirements

📰 ArXiv cs.AI

Learn how to sustain AI safety using control-theoretic approaches to evaluate external and intrinsic necessities for reliable system behavior

advanced Published 14 May 2026
Action Steps
  1. Apply control theory to evaluate the structural requirements for sustaining AI safety
  2. Analyze external impossibility and intrinsic necessity for safety-sustaining strategies
  3. Design alternative strategies that account for the limitations of external control
  4. Test and validate the effectiveness of these strategies using simulation or experimentation
  5. Refine and iterate on the design based on the results of testing and validation
Who Needs to Know This

AI researchers and engineers working on safety-critical systems can benefit from understanding control-theoretic approaches to sustaining AI safety, as it informs the design of reliable and robust systems

Key Insight

💡 External control alone is insufficient to sustain AI safety, and intrinsic necessities must be considered to design reliable systems

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