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pith:2025:BDZ4LROTYUZHV5H5AFDOPOKWCW
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When Thinking Pays Off: Incentive Alignment for Human-AI Collaboration

Gerhard Satzger, Joshua Holstein, Patrick Hemmer, Wei Sun

Redesigning incentives to reward independent judgment reduces human overreliance on AI advice.

arxiv:2511.09612 v2 · 2025-11-12 · cs.HC

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\pithnumber{BDZ4LROTYUZHV5H5AFDOPOKWCW}

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1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

We empirically evaluate this approach through a behavioral experiment with 180 participants, finding that the proposed mechanism significantly reduces overreliance.

C2weakest assumption

That the experimental tasks and incentive effects observed in the lab accurately reflect real-world human-AI collaboration settings and that overreliance is primarily driven by incentive misalignment rather than other factors.

C3one line summary

A new incentive mechanism significantly reduces overreliance on AI advice and improves decision quality, demonstrated in a behavioral experiment with 180 participants.

References

13 extracted · 13 resolved · 1 Pith anchors

[1] G. Bansal, B. Nushi, E. Kamar, E. Horvitz, and D. S. Weld. Is the most accurate ai the best teammate? optimizing ai for teamwork. InProceedings of the AAAI Conference on Artificial Intelligence, volum 2021
[2] Z. Buçinca, S. Swaroop, A. E. Paluch, F. Doshi-Velez, and K. Z. Gajos. Contrastive explanations that anticipate human misconceptions can improve human decision-making skills. InProceedings of the 2025 2025
[3] Complementarity in human-ai collabo- ration: Concept, sources, and evidence
[4] Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task · arXiv:2506.08872
[5] H.-P. Lee, A. Sarkar, L. Tankelevitch, I. Drosos, S. Rintel, R. Banks, and N. Wilson. The impact of generative ai on critical thinking: Self-reported reductions in cognitive effort and confidence effe 2025

Formal links

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Receipt and verification
First computed 2026-05-17T23:39:04.635498Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

08f3c5c5d3c5327af4fd0146e7b95615abb20ecef189613b17e8eb541b53905a

Aliases

arxiv: 2511.09612 · arxiv_version: 2511.09612v2 · doi: 10.48550/arxiv.2511.09612 · pith_short_12: BDZ4LROTYUZH · pith_short_16: BDZ4LROTYUZHV5H5 · pith_short_8: BDZ4LROT
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BDZ4LROTYUZHV5H5AFDOPOKWCW \
  | 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: 08f3c5c5d3c5327af4fd0146e7b95615abb20ecef189613b17e8eb541b53905a
Canonical record JSON
{
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    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.HC",
    "submitted_at": "2025-11-12T18:59:55Z",
    "title_canon_sha256": "fc798765eb54e9229414c7916b67c6ecec7447eff6bc6a3f45aeb1a6c5089331"
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  "source": {
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    "kind": "arxiv",
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