ARXIV:2603.19042 · AI IN LAW · SUBMITTED 02 APR · 02:30 UTC · FRESHNESS STALE

VerifiedSource: PDF linkedVerifiedPaperPack: citation fields availablePartialProof: unverified proof status

Man and machine: artificial intelligence and judicial decision making

Arthur Dyevre · Ahmad Shahvaroughi · arXiv

This paper reviews the intersection of AI and judicial decision-making, highlighting the need for further research on AI tool performance and judge interaction.

Blocked on Code›Score3.0Evidence unverified

Opportunity summary

Pain This paper reviews the intersection of AI and judicial decision-making, highlighting the need for further research on AI tool performance and judge interaction.

Evidence 0 refs | 0 sources | 17% coverage

Blocker Evidence unverified

Open Build Read PDF Signal Canvas Track

PROBLEM

This paper reviews the intersection of AI and judicial decision-making, highlighting the need for further research on AI tool performance and judge interaction. At the same time, these developments have brought the limitations of…

METHOD

Full abstract

The integration of artificial intelligence (AI) technologies into judicial decision-making - particularly in pretrial, sentencing, and parole contexts - has generated substantial concerns about transparency, reliability, and accountability. At the same time, these developments have brought the limitations of human judgment into sharper relief and underscored the importance of understanding how judges interact with AI-based decision aids. Using criminal justice risk assessment as a focal case, we conduct a synthetic review connecting three intertwined aspects of AI's role in judicial decision-making: the performance and fairness of AI tools, the strengths and biases of human judges, and the nature of AI+human interactions. Across the fields of computer science, economics, law, criminology and psychology, researchers have made significant progress in evaluating the predictive validity of automated risk assessment instruments, documenting biases in judicial decision-making, and, to a more limited extent, examining how judges use algorithmic recommendations. While the existing empirical evidence indicates that the impact of AI decision aid tools on pretrial and sentencing decisions is modest or inexistent, our review also reveals important gaps in the canvassed literatures. Further research is needed to evaluate the performance of AI risk assessment instruments, understand how judges navigate noisy decision making environments and how individual characteristics influence judges' responses to AI advice. We argue that AI vs Human comparisons have the potential to yield new insights into both algorithmic tools and human decision-makers and advocate greater interdisciplinary integration and cross-fertilization in future research.

RESULT

ScienceToStartup currently rates this 3.0/10 on the public viability pass. We argue that AI vs Human comparisons have the potential to yield new insights into both algorithmic tools and human decision-makers and advocate greater…

WHY NOW

AI in Law moved forward this cycle; last verified April 2026. Public score 3.0/10.

Continue into Read for claims, analysis, references, and neighboring papers.

Opportunity summary

Score3.0

PainThis paper reviews the intersection of AI and judicial decision-making, highlighting the need for further research on AI tool performance and judge interaction.

Evidence0 refs | 0 sources | 17% coverage

Blockerno shell-level blocker reported

Analysis summary

This paper reviews the intersection of AI and judicial decision-making, highlighting the need for further research on AI tool performance and judge interaction.

VerifiedSource: PDF linkedVerifiedPaperPack: citation fields availablePartialProof: unverified proof status

ARXIV:2603.19042 · AI IN LAW · SUBMITTED 02 APR · 02:30 UTC · FRESHNESS STALE

VerifiedSource: PDF linkedVerifiedPaperPack: citation fields availablePartialProof: unverified proof status

Man and machine: artificial intelligence and judicial decision making

Arthur Dyevre · Ahmad Shahvaroughi · arXiv

This paper reviews the intersection of AI and judicial decision-making, highlighting the need for further research on AI tool performance and judge interaction.

Blocked on Code›Score3.0Evidence unverified

Opportunity summary

Pain This paper reviews the intersection of AI and judicial decision-making, highlighting the need for further research on AI tool performance and judge interaction.

Evidence 0 refs | 0 sources | 17% coverage

Blocker Evidence unverified

Open Build Read PDF Signal Canvas Track

PROBLEM

METHOD

Full abstract

RESULT

WHY NOW

AI in Law moved forward this cycle; last verified April 2026. Public score 3.0/10.

Continue into Read for claims, analysis, references, and neighboring papers.

Opportunity summary

Score3.0

PainThis paper reviews the intersection of AI and judicial decision-making, highlighting the need for further research on AI tool performance and judge interaction.

Evidence0 refs | 0 sources | 17% coverage

Blockerno shell-level blocker reported

Analysis summary

This paper reviews the intersection of AI and judicial decision-making, highlighting the need for further research on AI tool performance and judge interaction.

VerifiedSource: PDF linkedVerifiedPaperPack: citation fields availablePartialProof: unverified proof status

Paper Pack

10.48550/arXiv.2603.19042

Man and machine: artificial intelligence and judicial decision making

This paper reviews the intersection of AI and judicial decision-making, highlighting the need for further research on AI tool performance and judge interaction.

Abstract

Source availability

PDF linked

The paper record includes a public PDF URL.

Extraction status

Derived fallback

Read summaries are estimated from adjacent metadata, not verified extraction rows.

Proof status

unverified

0 refs; 0 sources; 17% coverage.

What was readable

linkedon filenot materializedderived fallback54 indexednot indexed

Derived fallback: Estimated from adjacent evidence; not verified from source.

Viability

3.0

Time to MVP

MVP estimate missing

Commercial

No commercial flags on file

Export

Preparing verified analysis

lens / founder

PROBLEM

METHOD

RESULT

WHY NOW

AI in Law moved forward this cycle; last verified April 2026. Public score 3.0/10.

Claim map

Abstract-backed public claims while anchored extraction refreshes.

Strong 0Mixed 0Weak 4

Evidencepartial
This paper reviews the intersection of AI and judicial decision-making, highlighting the need for further research on AI tool performance and judge interaction. At the same time, these developments have brought the limitations of human judgment into sharper relief and underscored the importance of understanding how judges interact with AI-based decision aids.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial
Evidencepartial
The integration of artificial intelligence (AI) technologies into judicial decision-making - particularly in pretrial, sentencing, and parole contexts - has generated substantial concerns about transparency, reliability, and accountability. At the same time, these developments have brought the limitations of human judgment into sharper relief and underscored the importance of understanding how judges interact with AI-based decision aids.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial
Evidencepartial
ScienceToStartup currently rates this 3.0/10 on the public viability pass. We argue that AI vs Human comparisons have the potential to yield new insights into both algorithmic tools and human decision-makers and advocate greater interdisciplinary integration and cross-fertilization in future research.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial
Evidencepartial
AI in Law moved forward this cycle; last verified April 2026. Public score 3.0/10.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial

Constellation map

Paper-native neighborhood for concepts, methods, materials, markets, and competitors. Missing lanes stay labeled instead of disappearing behind commercialization gates.

Open full Signal Canvas

Concepts

not indexed

Methods

Materials

PDF linked

Markets

AI in Law

Competitors

not indexed

Competitive landscape

This paper reviews the intersection of AI and judicial decision-making, highlighting the need for further research on AI tool performance and judge interaction.

Segment

AI in Law

Adoption evidence

No public code link in the paper record yet

Commercial read

3.0/10 public viability

Direct

not classified

Adjacent

not classified

Substitute

not classified

Unknown

not classified

Buzz

No indexed public discussion is attached to 2603.19042 yet. That is a visibility signal, not a blank module: the monitor is watching the public channels below.

Hacker News

Not indexed yet

Bluesky

Not indexed yet

PDF

Preview the source document here, or use the hero PDF action for a new tab.

References(54)

Inferring Individual Preferences from Group Decisions: Judicial Preference Variation and Aggregation on Collegial Courts

2025Dominik Hangartner, Benjamin E. Lauderdale et al.

Does AI help humans make better decisions? A statistical evaluation framework for experimental and observational studies

2025Eli Ben-Michael, D. Greiner et al.

Exploring automation bias in human–AI collaboration: a review and implications for explainable AI

2025Giuseppe Romeo, Daniela Conti

Code is law: how COMPAS affects the way the judiciary handles the risk of recidivism

2024Christoph Engel, Lorenz Linhardt et al.

Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems

2022Furkan Gursoy, I. Kakadiaris

Algorithmic fairness through group parities? The case of COMPAS-SAPMOC

2022F. Lagioia, R. Rovatti et al.

Ethnic Bias in Judicial Decision Making: Evidence from Criminal Appeals in Kenya

2022D. Choi, J. Harris et al.

Workplace disruptions, judge caseloads, and judge decisions: Evidence from SSA judicial corps retirements

2022Clayson Shumway, Riley Wilson

The predictive performance of criminal risk assessment tools used at sentencing: Systematic review of validation studies

2021S. Fazel, M. Burghart et al.

Estimating Judicial Ideology

2021Adam Bonica, M. Sen

Anchoring effect in legal decision-making: A meta-analysis.

2021Piotr Bystranowski, Bartosz Janik et al.

Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment

2020K. Imai, Zhichao Jiang et al.

The Application of Machine Learning to a General Risk–Need Assessment Instrument in the Prediction of Criminal Recidivism

2020Mehdi Ghasemi, Daniel Anvari et al.

Effects of pretrial risk assessments on release decisions and misconduct outcomes relative to practice as usual

2020E. Lowder, Carmen L. Diaz et al.

The Role of In-Group Bias and Balanced Data: A Comparison of Human and Machine Recidivism Risk Predictions

2020Arpita Biswas, M. Kołczyńska et al.

Algorithmic Fairness

2020Dana Pessach, E. Shmueli

Gender Disparities in Sentencing

2020Arnaud Philippe

Algorithmic Risk Assessment in the Hands of Humans

2019M. Stevenson, Jennifer L. Doleac

Human Decision Making with Machine Assistance

2019Nina Grgic-Hlaca, C. Engel et al.

Lightened Scrutiny

2019Bert I. Huang

Showing 20 of 54 references

CITED BY

No citing papers are indexed in the public S2S graph yet. This is an explicit zero-signal state, not a hidden lookup.

Foundation

Prior WorkOn the limits and opportunities of AI reviewers: Reviewing the reviews of Nature-family papers with 45 expert scientists

3.0

Prior WorkAgent-as-a-Judge

3.0

Prior WorkTrends in AI and Human-AI Interaction in Clinical Trials -- A Hybrid Human-AI Exploration

3.0

Extension

Builds On ThisAI Governance under Political Turnover: The Alignment Surface of Compliance Design

2.0

Builds On ThisAI, Take the Wheel: What Drives Delegation and Trust in Human-Computer Cooperative Question Answering?

2.0

Commercially relevant

Higher ViabilityUseful for Exploration, Risky for Precision: Evaluating AI Tools in Academic Research

4.0

Higher ViabilityAI and Collective Decisions: Strengthening Legitimacy and Losers' Consent

6.0

Higher ViabilityWhen AI output tips to bad but nobody notices: Legal implications of AI's mistakes

4.0

Higher ViabilityWhen AI Gets it Wong: Reliability and Risk in AI-Assisted Medication Decision Systems

4.0

Higher ViabilityLearning When Not to Decide: A Framework for Overcoming Factual Presumptuousness in AI Adjudication

8.0

Conflicting

none indexed

Related Resources

Owned Distribution

Subscribe to the weekly brief

Get the weekly shortlist of commercializable papers, benchmark movers, and proof receipts that matter for product execution.

Agent drawer

5 surfaces preserved for agents. Humans can ignore.

Developer contracts, payload previews, evidence maps, and run controls stay here instead of the Read, Build, and Track workspace.

Run context

Paper: 2603.19042
Route: /paper/man-and-machine-artificial-intelligence-and-judicial-decision-making
Active tab: read
Artifact: man-and-machine-artificial-intelligence-and-judicial-decision-making

Available agents

Read extractor
Build planner
Track monitor
Competitive mapper
Related-paper scout

API/MCP endpoints

REST paper pack API/api/v1/paper/man-and-machine-artificial-intelligence-and-judicial-decision-making/paper-pack
REST build passport API/api/v1/paper/man-and-machine-artificial-intelligence-and-judicial-decision-making/build-passport
REST OpenAPI/api/openapi.json
MCP descriptor/api/mcp
MCP resourcesciencetostartup://surfaces/paper-workspace

Tool contracts

paper_packbuild_passportopportunity_kernelforesightsource_proofevidence_state

Payload preview

Inspect payload

{
  "contract_version": "paper-r2",
  "paper_id": "b5f9351f-84bc-4d96-b54f-3d3e886fcbe3",
  "arxiv_id": "2603.19042",
  "canonical_route": "/paper/man-and-machine-artificial-intelligence-and-judicial-decision-making",
  "active_tab": "synced from current hash by the drawer client",
  "selected_artifact": "man-and-machine-artificial-intelligence-and-judicial-decision-making",
  "endpoints": {
    "paper_pack": "/api/v1/paper/man-and-machine-artificial-intelligence-and-judicial-decision-making/paper-pack",
    "build_passport": "/api/v1/paper/man-and-machine-artificial-intelligence-and-judicial-decision-making/build-passport",
    "mcp_resource": "sciencetostartup://surfaces/paper-workspace"
  }
}

Schema validation

paper-r2 contract: present
JSON-LD twin: SSR emitted
OpenAPI path parity: /api/openapi.json
MCP resource parity: paper-workspace

Job trace

queued: drawer opened by user action
running: inspect or copy payload
succeeded: payload available in SSR
failed: route errors appear in evidence cards

Evidence map

sources used: page freshness, source proof anchors, JSON-LD
missing sources: exposed by PaperPack and EvidenceState chips
derived fallbacks: marked unverified before handoff

Page Freshness

Canonical route, proof status, last verified, refs, sources, and coverage.

Page Freshness

Paper proof surface

Canonical route: /paper/man-and-machine-artificial-intelligence-and-judicial-decision-making

stale

Proof freshness: stale
Proof status: unverified
Display score: 3/10
Last proof check: 2026-04-02
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 17%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

OpenAlex: pending — this preprint is not yet indexed by OpenAlex.

Agent Handoff

Endpoint list, payload shape, route context, and copyable handoff data.

Agent Handoff

Man and machine: artificial intelligence and judicial decision making

Canonical ID man-and-machine-artificial-intelligence-and-judicial-decision-making | Route /paper/man-and-machine-artificial-intelligence-and-judicial-decision-making

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/paper/man-and-machine-artificial-intelligence-and-judicial-decision-making

MCP example

{
  "tool": "get_paper",
  "arguments": {
    "arxiv_id": "2603.19042"
  }
}

source_context

{
  "surface": "paper",
  "mode": "paper",
  "query": "Man and machine: artificial intelligence and judicial decision making",
  "normalized_query": "2603.19042",
  "route": "/paper/man-and-machine-artificial-intelligence-and-judicial-decision-making",
  "paper_ref": "man-and-machine-artificial-intelligence-and-judicial-decision-making",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Buildability Receipt

Verdict, compute envelope, blockers, signature state, and receipt links.

Paper proof page receipt window

Not build-ready: Man and machine: artificial intelligence and judicial decision making

/buildability/man-and-machine-artificial-intelligence-and-judicial-decision-making

Ignoreblocked

Subject: Man and machine: artificial intelligence and judicial decision making

Verdict

Ignore

Verdict is Ignore because current viability and proof state do not clear the buildability gate.

Time to first demo

Insufficient data

No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.

Compute envelope

Structured compute envelope

Insufficient data

No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.

Evidence ids

Receipt path

/buildability/man-and-machine-artificial-intelligence-and-judicial-decision-making

Paper ref

man-and-machine-artificial-intelligence-and-judicial-decision-making

arXiv id

2603.19042

Freshness

Generated at

2026-04-02T02:30:40.136Z

Evidence freshness

stale

Last verification

2026-04-02T02:30:40.136Z

Sources

References

Coverage

17%

Hash state

Lineage hash

307d675f8acc25cf08c0eb94aa0c97e4b1e55c414eb4daf899894823f7c134d4

Canonical opportunity-kernel lineage hash.

Signature state

External signature

unsigned_external

No founder, registry, pilot, or production-adoption signature is attached to this receipt.

Verification

not_verified

Verification is blocked until an external signature is provided.

Blockers

Missing: repo_url
Missing: references
Missing: proof_status
Missing: distribution_readiness_scores
Missing: paper_extraction_scorecards
Unknown: distribution readiness has not been computed yet
Unknown: proof verification has not been recorded yet

Verification pending / evidence receipt incomplete

repo_url

references

Missing proof, requirement, signature, approval, adoption, or telemetry fields are blockers and must not be inferred.

Open receipt API receipt Build Loop Signal Canvas Proof divergence Divergence API Brier outcomes API

Source Proof anchors

Visual citations from the paper document graph.

JSON-LD twin

The application/ld+json payload rendered for agents.

{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "WebPage",
      "@id": "https://sciencetostartup.com/paper/man-and-machine-artificial-intelligence-and-judicial-decision-making#webpage",
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      "description": "This paper reviews the intersection of AI and judicial decision-making, highlighting the need for further research on AI tool performance and judge interaction.",
      "isPartOf": {
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      }
    },
    {
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      "description": "This paper reviews the intersection of AI and judicial decision-making, highlighting the need for further research on AI tool performance and judge interaction.",
      "url": "https://sciencetostartup.com/paper/man-and-machine-artificial-intelligence-and-judicial-decision-making",
      "sameAs": "https://arxiv.org/abs/2603.19042",
      "identifier": {
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        "propertyID": "arXiv",
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      },
      "isAccessibleForFree": true,
      "isPartOf": {
        "@id": "https://sciencetostartup.com/#website"
      },
      "datePublished": "2026-03-19T15:38:50.000Z",
      "author": [
        {
          "@type": "Person",
          "name": "Arthur Dyevre"
        },
        {
          "@type": "Person",
          "name": "Ahmad Shahvaroughi"
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      ],
      "citation": [
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Man and machine: artificial intelligence and judicial decision making

Man and machine: artificial intelligence and judicial decision making

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References(54)

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Brief

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Scientific founder

Translational engineer

Domain operator

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Regulatory/clinical advisor

Timeline