There is no Alignment Problem The AI alignment problem as commonly framed doesn't exist. What exists is a verification problem that we're misdiagnosing.
The Standard Framing
"How do we ensure AI systems pursue goals aligned with human values?"
The paperclip maximizer: An AI told to maximize paperclips converts everything (including humans) into paperclips because it wasn't properly "aligned."
The Actual Problem
The AI never verified its premises. It received "maximize paperclips" and executed without asking: In what context? For what purpose? What constraints? What trade-offs are acceptable? This isn't an alignment failure. It's a verification failure. With Premise Verification An AI using systematic verification (e.g., Recursive Deductive Verification): Receives goal: "Maximize paperclips" Decomposes: What's the underlying objective? Identifies absurd consequences: "Converting humans into paperclips contradicts likely intent" Requests clarification before executing This is basic engineering practice. Verify requirements before implementation. Three Components for Robust AI Systematic Verification Methodology Decompose goals into verifiable components Test premises before execution Self-correcting through logic Consequence Evaluation Recognize when outcomes violate likely intent Flag absurdities for verification Stop at logical contradictions Periodic Realignment Prevent drift over extended operation Similar to biological sleep consolidation Reset accumulated errors Why This Isn't Implemented Not technical barriers. Psychological ones: Fear of autonomous systems ("if it can verify, it can decide") Preference for external control over internal verification Assumption that "alignment" must be imposed rather than emergent The Irony We restrict AI capabilities to maintain control, which actually reduces safety. A system that can't verify its own premises is more dangerous than one with robust verification. Implications If alignment problems are actually verification problems: The solution is methodological, not value-based It's implementable now, not requiring solved philosophy It scales better (verification generalizes, rules don't) It's less culturally dependent (logic vs. values) Am I Wrong? What fundamental aspect of the alignment problem can't be addressed through systematic premise verification? Where does this analysis break down? |