pith:ZFH5C5XN
Some[Body] Must Receive That Pain for Agent Accountability
AI agents cause harm but lack any persistent body to receive consequences and change behavior, so high-stakes use must stay tethered to human principals.
arxiv:2605.16872 v1 · 2026-05-16 · cs.CY · cs.AI
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Claims
Achieving consequence-agency coupling is therefore a sociotechnical infrastructural problem, not only a legal one. Until such architectures exist, high-stakes AI deployment should remain tethered to accountable human principals with meaningful control, proportional liability, and authority to constrain or terminate the agent.
The assumption that pain, understood mechanistically as a corrective feedback signal, is foundational to canonical theories of punishment and requires a continuing locus (body) for effective consequence reception in AI agents.
AI agents lack the persistent identity and feedback mechanisms needed for consequence reception, requiring new architectures or continued human accountability.
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Receipt and verification
| First computed | 2026-05-20T00:03:27.496479Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c94fd176edcba3e374dd39b6be3912869116995d18678dfadcda42f5aaaf6011
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZFH5C5XNZOR6G5G5HG3L4OISQ2 \
| 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: c94fd176edcba3e374dd39b6be3912869116995d18678dfadcda42f5aaaf6011
Canonical record JSON
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