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pith:3EPYNFFQ

pith:2026:3EPYNFFQJ65YIEFVMITJ2H5LYD
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Inventorship in AI-Assisted Inventions: Designing an Experiment to Shape Case Law

Bryan Khan, Duygu Usta, Yevhenii Shchetynin

A society-initiated experiment using selected AI-assisted invention cases can generate court precedents to clarify inventorship rules faster than waiting for natural litigation.

arxiv:2605.16528 v1 · 2026-05-15 · cs.CY · cs.AI

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3 Author claim open · sign in to claim
4 Citations open
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Claims

C1strongest claim

Conducting such an approach will help identify the most effective methods for measuring human contribution to AI-assisted inventions when determining inventorship.

C2weakest assumption

That a society-initiated experiment with selected AI-assisted cases can reliably produce court precedents that meaningfully shape inventorship doctrine faster and more comprehensively than waiting for organic litigation.

C3one line summary

Proposes conditions and a methodology for a stakeholder-led experiment to create case law on human inventorship in AI-assisted inventions.

References

15 extracted · 15 resolved · 0 Pith anchors

[1] The researcher continued to improve the resulting Patent Claims (CASE1) by creating additional prompts to ChatGPT 4o
[2] A folding bicycle comprising:  a single continuous frame,  a folding fork assembly attached to a front end of said frame,  folding chainstays attached to a rear end of said frame,  a hinge mechani 2021
[3] gesture zone
[4] This prioritization approach is different from a relevance ranking based on static criteria
[5] Dynamic Association: The association of touch data to a GUI object is dynamically updated as the gesture zone changes, which is different from maintaining an association despite higher relevance ranki
Receipt and verification
First computed 2026-05-20T00:02:27.543142Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

d91f8694b04fbb8410b562269d1fabc0ec779f178be3480b4fff35174dc2bf02

Aliases

arxiv: 2605.16528 · arxiv_version: 2605.16528v1 · doi: 10.48550/arxiv.2605.16528 · pith_short_12: 3EPYNFFQJ65Y · pith_short_16: 3EPYNFFQJ65YIEFV · pith_short_8: 3EPYNFFQ
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3EPYNFFQJ65YIEFVMITJ2H5LYD \
  | 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: d91f8694b04fbb8410b562269d1fabc0ec779f178be3480b4fff35174dc2bf02
Canonical record JSON
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    "submitted_at": "2026-05-15T18:25:22Z",
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