pith:SKSWLDU5
Safety Must Precede the Deployment of Open-Ended AI
Open-ended AI systems pose unique safety challenges that existing methods cannot address and must be tackled before deployment.
arxiv:2502.04512 v4 · 2025-02-06 · cs.AI
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\pithnumber{SKSWLDU5V2B4CA6PVZTHMXQR6V}
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Record completeness
Claims
the defining properties of open-ended AI systems introduce a distinct and underexplored class of safety challenges, including loss of predictability, emergent misalignment, and difficulties in maintaining effective control as systems evolve beyond their initial design assumptions, that must be addressed preemptively.
These challenges differ qualitatively from those associated with task-bounded or static models and are unlikely to be addressed by existing safety frameworks alone.
Open-ended AI systems introduce distinct safety challenges including loss of predictability, emergent misalignment, and control difficulties that must be addressed preemptively before large-scale deployment.
Receipt and verification
| First computed | 2026-06-02T02:04:46.285910Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
92a5658e9dae83c103cfae66765e11f56cf7d18337fa62240552294a32fdbfe2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SKSWLDU5V2B4CA6PVZTHMXQR6V \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 92a5658e9dae83c103cfae66765e11f56cf7d18337fa62240552294a32fdbfe2
Canonical record JSON
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