pith:BDHWAFNF
When AI Gets it Wrong: Reliability and Risk in AI-Assisted Medication Decision Systems
AI medication systems can cause patient harm through errors like missed interactions when used without human oversight.
arxiv:2604.01449 v3 · 2026-04-01 · cs.AI · cs.LG
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\pithnumber{BDHWAFNFVDZIXQDWGAI23K34XT}
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Record completeness
Claims
AI errors in medication-related contexts can lead to adverse drug reactions, ineffective treatment, or delayed care, particularly when systems are used without sufficient human oversight.
That the controlled simulated scenarios accurately capture relevant real-world failure modes and that the described errors would translate directly to clinical harm without oversight.
AI errors in medication decisions can cause adverse reactions or ineffective care, requiring risk-aware evaluation beyond traditional performance metrics.
Cited by
Receipt and verification
| First computed | 2026-05-21T01:04:25.226259Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
08cf6015a5a8f28bc0763011adab7cbcf1e7d52cae2f5d94541d17dc8a80d04a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BDHWAFNFVDZIXQDWGAI23K34XT \
| 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: 08cf6015a5a8f28bc0763011adab7cbcf1e7d52cae2f5d94541d17dc8a80d04a
Canonical record JSON
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