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Paper Citation Record · LEDGER

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation

As of 9 August 2026, this Paper Citation Record lists 100 of 266 outbound references and 0 inbound Pith citation observations for arXiv:2608.05418.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.05418 v1

Coverage vector

measured 100 of 266 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:35:49.318578Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 266 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved97
  • parse uncertain1
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 003ede19-29db-4fa1-905d-d8137200b8b3 · outbound

This paper cites 2022 , url =.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2022 , url =

Reference 1

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Observation 947ccdb1-c726-4377-acf7-46282bbcc750 · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 2

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Observation 7ddcc17e-c891-43c3-bade-7632524cdd26 · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 3

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Observation 7edab207-17f8-4dda-bac6-1087efbbe412 · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 4

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Observation 25c38b8f-74e5-4a4c-9621-dd2551d2a028 · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 5

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Observation 7e5eb4d1-72d0-4d83-974c-32674fe304d2 · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 6

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 7

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation and Barter, M

Reference 8

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Observation b5feadb0-cbcf-4dc1-906b-529e95b450ee · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 9

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 10

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Annual Review of Criminology , volume=

Reference 11

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This paper cites and Neville, Scott and Scheidegger, Carlos and Venkatasubramanian, Suresh , booktitle =.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation and Neville, Scott and Scheidegger, Carlos and Venkatasubramanian, Suresh , booktitle =

Reference 12

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Observation 12ee6c23-8c95-4547-9b41-d9acc0a4348e · outbound

This paper cites Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society , pages=

Reference 13

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 14

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 15

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation and Turchan, Brandon S

Reference 16

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Observation 033235d4-89ff-4334-8117-58479457a12a · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 17

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation optimal routing paper] , author =

Reference 18

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Observation ae00e8b4-e752-40a0-b253-f05661e90155 · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 19

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Observation 8832271a-a308-4ef5-ad35-455a3e552397 · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation , journal =

Reference 20

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2016 , howpublished =

Reference 21

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Observation 81316d40-0a5b-4e98-b73e-7f7c32fcc878 · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Fairness in

Reference 22

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation , journal =

Reference 23

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Observation 73dbab50-b921-4731-b115-0b95dfe69326 · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Forecasting

Reference 24

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation and Sorenson, Susan B

Reference 25

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Observation 412e5918-b2c3-4177-a668-648eda562d00 · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation , year =

Reference 26

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Observation 9b457609-2782-4764-9cac-a4ed83d9fae1 · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems , pages=

Reference 27

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Observation c2e4734c-b38c-4258-85f3-d3fa4afe6ece · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Evidence of What, for Whom?

Reference 28

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Intelligent Video Event Analysis and Understanding , editor=

Reference 29

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2021 , howpublished =

Reference 30

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Observation 25636799-6ee3-4b60-98ce-32db8f7f1b27 · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 31

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Advances in Neural Information Processing Systems , volume=

Reference 32

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Statistical Science , volume=

Reference 33

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the National Academy of Sciences , volume=

Reference 34

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Reference 35

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Observation a86b99d3-96e9-4041-aba0-4329316b524c · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 36

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Bridging the gap between ethics and practice: Guidelines for reliable, safe, and trustworthy human-centered

Reference 37

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Observation 7a29290d-355f-46de-a3cf-5c4e6b76bf63 · outbound

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Closing the

Reference 38

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2023 , publisher=

Reference 39

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Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2024 , howpublished=

Reference 40

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Observation d56a1881-79d7-47cb-b394-a4d21d392bba · outbound

This paper cites Proceedings of the ACM on Human-Computer Interaction , volume=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the ACM on Human-Computer Interaction , volume=

Reference 41

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source=arxiv_source observed=2026-08-08T13:35:49.055588Z digest=sha256:dc7b1b7d1bf817be1089624a25d8ba373188fc2751a172a7f9897cea266b16a2

Observation 0b110901-28b0-4bca-9e89-4f7be1fbd036 · outbound

This paper cites Continuous auditing and monitoring in.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Continuous auditing and monitoring in

Reference 42

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source=arxiv_source observed=2026-08-08T13:35:49.059941Z digest=sha256:7d7490ee52e9785e50c4305c67388f647b2483ea6f58172a9b7fb9e80fb9ebca

Observation ff07aeae-0a86-41c8-9437-140fc27cfd87 · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 43

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source=arxiv_source observed=2026-08-08T13:35:49.064286Z digest=sha256:d590b8fdef56f6f1c825dab5e07a462f7739ebc55c50043a79b6557297f75af1

Observation b97dd246-3c40-453f-99c2-f95798e677fd · outbound

This paper cites Brussels: European Commission , year=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Brussels: European Commission , year=

Reference 44

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source=arxiv_source observed=2026-08-08T13:35:49.068844Z digest=sha256:38a1e222a20338d44a86c5586712261f6ecc4e76215d63d7de13590dd8b823ce

Observation b28d7c71-1169-4b87-83cf-27f7b3686aee · outbound

This paper cites Paris: UNESCO , year=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Paris: UNESCO , year=

Reference 45

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no resolver link, observed 2026-08-08T13:35:49.073695Z

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source=arxiv_source observed=2026-08-08T13:35:49.073695Z digest=sha256:9793ae8e0b08070ec34eddd69d3cc985cc1789c339428674f65bb938c16fdd6b

Observation d8d62d20-410d-4a1b-aed7-44175daf25ad · outbound

This paper cites Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency , pages=

Reference 46

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source=arxiv_source observed=2026-08-08T13:35:49.078170Z digest=sha256:071d9791b2701996496614416265e16b34faa56d8a7322909251d2d4745d6cee

Observation a8bb3b0d-fcab-4ed3-bce6-bd26298d454c · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 47

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source=arxiv_source observed=2026-08-08T13:35:49.082596Z digest=sha256:4f33475a9bf8ddef379c90e4d728f43ffc326a369a2df292482d3af99624e8e3

Observation 8b5395f0-7d0d-41aa-ba90-7bee67ad1549 · outbound

This paper cites The Operationalization Gap: The Challenges of Translating.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation The Operationalization Gap: The Challenges of Translating

Reference 48

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source=arxiv_source observed=2026-08-08T13:35:49.086925Z digest=sha256:48ac16de3c88883ea8f5c5ab8d5d0a6843e0457dca48b1287405563a997f15cd

Observation 1469cc2d-bea2-49bc-b375-9095b151884e · outbound

This paper cites 2023 , publisher=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2023 , publisher=

Reference 49

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source=arxiv_source observed=2026-08-08T13:35:49.091528Z digest=sha256:a5b61d4c464f295112c70cb4b1be100a4b12b6055b75f9215b772c777f79db45

Observation dccc2925-6df6-4c80-bbec-c285cf2f1d72 · outbound

This paper cites Toward trustworthy.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Toward trustworthy

Reference 50

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no resolver link, observed 2026-08-08T13:35:49.095998Z

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source=arxiv_source observed=2026-08-08T13:35:49.095998Z digest=sha256:c45b3cae022ed0189cc01b24ca2ad68243cba014d873242ce136aedcfdbfce3d

Observation fa164039-7b00-4c8c-856c-6eeb2c92d02e · outbound

This paper cites 2023 , institution=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2023 , institution=

Reference 51

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no resolver link, observed 2026-08-08T13:35:49.100347Z

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source=arxiv_source observed=2026-08-08T13:35:49.100347Z digest=sha256:d1b97eb59d2f60d6f86547727fa8c7afcccb809f71a2295315009cb19b961ffb

Observation 3ddcdb02-9ab8-4817-8b55-a23b731747f3 · outbound

This paper cites 2025 , howpublished=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2025 , howpublished=

Reference 52

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no resolver link, observed 2026-08-08T13:35:49.104550Z

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source=arxiv_source observed=2026-08-08T13:35:49.104550Z digest=sha256:9b18c89c6fcd322a3a35223f9e3149c459dd9f63b6c76cb1fb7b8a163a10aaa6

Observation 93d2f7b8-748c-4d7d-befa-c26953d9d840 · outbound

This paper cites Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency , pages=

Reference 53

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source=arxiv_source observed=2026-08-08T13:35:49.109071Z digest=sha256:00f20d95cd69c08b65765eeb5bb27585d6da984c26efbc61fe996c6a2a53ec96

Observation 43684850-ab39-49de-99e3-5c5d19a4a10a · outbound

This paper cites Actionable auditing: Investigating the impact of publicly naming biased performance results of commercial.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Actionable auditing: Investigating the impact of publicly naming biased performance results of commercial

Reference 54

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source=arxiv_source observed=2026-08-08T13:35:49.113387Z digest=sha256:11ef0b098a228a618647547924cad849d20e5c8aace3fbc293135de1c5b0464b

Observation 4e7da40f-91d9-45b0-8439-12e3c4543d71 · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 55

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source=arxiv_source observed=2026-08-08T13:35:49.117573Z digest=sha256:51b080ec4ed02903bb9a44526c604dea53ec4f5443c3b06417c59ab38bf5cd12

Observation 81e4cca9-47bb-4442-b63c-77c3026ee957 · outbound

This paper cites Lessons for Human-Centered.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Lessons for Human-Centered

Reference 56

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source=arxiv_source observed=2026-08-08T13:35:49.121807Z digest=sha256:3266aee4fd63992a6ba0d8798c5cf9520269ecb57c1f887c014faa0eb1f9c794

Observation 4cc26d82-0127-407f-a913-9fd9fba156b5 · outbound

This paper cites Proceedings of the 2023 IEEE/ACM International Workshop on Software Fairness (FairWare) , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the 2023 IEEE/ACM International Workshop on Software Fairness (FairWare) , pages=

Reference 57

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source=arxiv_source observed=2026-08-08T13:35:49.126014Z digest=sha256:6c2dfab9bfec545183a2197138e3e14ebefd365c92e3aa84f7192349d4e5b98b

Observation d99e8961-b7c4-4f74-9272-adba9789ac2e · outbound

This paper cites Government Information Quarterly , volume=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Government Information Quarterly , volume=

Reference 58

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source=arxiv_source observed=2026-08-08T13:35:49.130350Z digest=sha256:ad5f87431c6c98df5bc0c8d28d78ac633a87e17607a441d14834c31e93c76912

Observation b734577c-0779-4091-b0dd-e1899c3bde40 · outbound

This paper cites The challenges of auditing.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation The challenges of auditing

Reference 59

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source=arxiv_source observed=2026-08-08T13:35:49.134873Z digest=sha256:c35f97b323ef69e7012f7c90529f350c79f37db57acd0f1f6c4a2ff34b71a54e

Observation de6f40b7-e1fc-4055-b1a6-70fc9f2a3ddc · outbound

This paper cites 2024 , journal=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2024 , journal=

Reference 60

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source=arxiv_source observed=2026-08-08T13:35:49.139326Z digest=sha256:85290938c73041318419b5066bae4b3f02b1a0c790b6a3f104b8a47e5e89f97e

Observation 24529be5-b37f-46c8-8d75-9c5bdd8662c4 · outbound

This paper cites 2024 , month=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2024 , month=

Reference 61

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source=arxiv_source observed=2026-08-08T13:35:49.143980Z digest=sha256:83ce196206de3c6e5b7ff2ce6d4e3eeabc735951c65e43df0531a00ed918108d

Observation a92dab73-cdef-490a-a868-48c17e3fca9a · outbound

This paper cites 2024 , howpublished=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2024 , howpublished=

Reference 62

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source=arxiv_source observed=2026-08-08T13:35:49.148394Z digest=sha256:236d0d18a80298d938ed35f3dab5a9ff111bffdabc2c53759400da56853e826f

Observation c531987c-bea2-4f80-b9e1-b37244b6135d · outbound

This paper cites Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency , pages=

Reference 63

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source=arxiv_source observed=2026-08-08T13:35:49.153168Z digest=sha256:492978313ec7b03142d065a97e815092cfdc0a0b128471b413cd96032723fa07

Observation e9965383-9187-4797-a016-48c5d61a9191 · outbound

This paper cites 2026 , month=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2026 , month=

Reference 64

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source=arxiv_source observed=2026-08-08T13:35:49.157659Z digest=sha256:beaa40f605db1ef5737f13937676fbe0aef492f17fbfaa4c3181d2663ad1450b

Observation 1c4c592d-fa68-4e7d-b9cd-c03372f78546 · outbound

This paper cites Neural Delay Differential Equations: System Reconstruction and Image Classification.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Neural Delay Differential Equations: System Reconstruction and Image Classification

Reference 65

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verified exact
local_arxiv, observed 2026-08-08T13:35:52.310610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T13:35:49.162066Z digest=sha256:2fac5de9327fe8e945aa52db3b011718c32386779b8e5038d666212a774e7755

Observation 91e4983a-0264-420e-afcc-08a4fff55f64 · outbound

This paper cites The $\Lambda$-type P-wave bottom baryon states via the QCD sum rules.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation The $\Lambda$-type P-wave bottom baryon states via the QCD sum rules

Reference 66

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source=arxiv_source observed=2026-08-08T13:35:49.167376Z digest=sha256:ba0f6dc3016a1a5aeede78c7fdc969f1bf6a793ec740e246e53daf053e6b04bc

Observation d33365ca-3a4c-4184-ae8a-baaf59e609db · outbound

This paper cites A Case for Civic Participation in.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation A Case for Civic Participation in

Reference 67

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source=arxiv_source observed=2026-08-08T13:35:49.171920Z digest=sha256:cce242e59eb4c5c2c48dcc66d8931ab68fae79b00e905342424492bb5e93c2fc

Observation 38101c74-83b6-4e04-b28e-72a5ee0172e8 · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 68

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source=arxiv_source observed=2026-08-08T13:35:49.176414Z digest=sha256:63b37668b3f5c73dca972e5e8ef49cc62bce48ff936c0a16bb84e2a505de2009

Observation 89d0b2db-38a9-4472-b43a-4cc64e8d63eb · outbound

This paper cites ACM/JMS Journal of Data Science , volume=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation ACM/JMS Journal of Data Science , volume=

Reference 69

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no resolver link, observed 2026-08-08T13:35:49.181065Z

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source=arxiv_source observed=2026-08-08T13:35:49.181065Z digest=sha256:a2fcb0e3689fc4eae6af92f95b477a34135658890ec2a382ccca395392ff69ae

Observation d4ea00eb-7b2c-454e-8ce7-9f46e8b4e7cb · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 70

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source=arxiv_source observed=2026-08-08T13:35:49.185320Z digest=sha256:0777d3ae81ed029c05f5e67bfa993b081284ad4d9f3b99b4f7f207719d1eb5d4

Observation 983ac2ae-0193-448e-bc9b-3ba871608aca · outbound

This paper cites , note =.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation , note =

Reference 71

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source=arxiv_source observed=2026-08-08T13:35:49.189660Z digest=sha256:39d00876711b9f984f3ca967720c3041af0dc611c4522083e3c06f32f6774a2d

Observation dd324322-6aac-4327-a7d1-86b8f4085f8e · outbound

This paper cites 2019 , publisher=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2019 , publisher=

Reference 72

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no resolver link, observed 2026-08-08T13:35:49.194014Z

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source=arxiv_source observed=2026-08-08T13:35:49.194014Z digest=sha256:ee4e481b7cef3eeb64d50bfc001ddd34f2c3fe5251e342581be80003bfa859a1

Observation c31d0f7f-4ee4-483b-8214-19948b94c7c9 · outbound

This paper cites 2019 , publisher=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2019 , publisher=

Reference 73

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no resolver link, observed 2026-08-08T13:35:49.198226Z

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source=arxiv_source observed=2026-08-08T13:35:49.198226Z digest=sha256:f8e6775af879d93867510dcb57fc78563372f9ae795d5cc57f10f23d2a322f0e

Observation e16f59e9-9cdf-4440-9331-15c327733991 · outbound

This paper cites New Pythias of public administration: Ambiguity and choice in.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation New Pythias of public administration: Ambiguity and choice in

Reference 74

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source=arxiv_source observed=2026-08-08T13:35:49.202697Z digest=sha256:659d3fac4d082be8ba984ff06a1813c32e924d325eeb582d802e929257b32efe

Observation dce1025e-6126-41c4-bf85-bbcaf35ff42b · outbound

This paper cites Fordham Urb.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Fordham Urb

Reference 75

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source=arxiv_source observed=2026-08-08T13:35:49.206976Z digest=sha256:74198d4e114c0d17330daa9e62a239b98a3b249049b1f9a89058487f73440a74

Observation c4522944-a5d4-4186-ab90-ee4b42394a00 · outbound

This paper cites ACM Conference on Fairness, Accountability, and Transparency (FAccT '24) , year=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation ACM Conference on Fairness, Accountability, and Transparency (FAccT '24) , year=

Reference 76

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source=arxiv_source observed=2026-08-08T13:35:49.211229Z digest=sha256:10b1cc1e67fab5fe5a91f4fabe1a504c921226e06a0611b17c14684d7e7b9778

Observation 169e62ae-583a-44ac-8852-5eaf7d7888e9 · outbound

This paper cites Nordic Social Work Research , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Nordic Social Work Research , pages=

Reference 77

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source=arxiv_source observed=2026-08-08T13:35:49.215836Z digest=sha256:0aead3c8dec81cb9f3a31b2835ca27942bf0c3e9a9740e8a71ae36cc194ee504

Observation 387b10de-c9c7-4686-be9f-df45397131c0 · outbound

This paper cites Big Data & Society , volume=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Big Data & Society , volume=

Reference 78

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no resolver link, observed 2026-08-08T13:35:49.220336Z

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source=arxiv_source observed=2026-08-08T13:35:49.220336Z digest=sha256:386f0cbd79ae75eeb3acf97b2e98073b50beaa1a303d6667f3e65c5a6f09938c

Observation e574da57-d710-4d1a-aca0-6e0f3e4319fc · outbound

This paper cites 2019 , publisher=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2019 , publisher=

Reference 79

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source=arxiv_source observed=2026-08-08T13:35:49.224865Z digest=sha256:3ba5460458e21894bdcff9e9879d9075629346f37bad9e3dbdb361166275fd57

Observation bf5ebbf2-08a0-4306-9a71-b937785f9b3b · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 80

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no resolver link, observed 2026-08-08T13:35:49.229405Z

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source=arxiv_source observed=2026-08-08T13:35:49.229405Z digest=sha256:859863b28b84a647934e71786b1d73e92175ea6500029d13b40bf451ba8a5fc6

Observation 6c1e1bd9-b208-42f4-92eb-24f47f4e6773 · outbound

This paper cites The Alan Turing Institute , year=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation The Alan Turing Institute , year=

Reference 81

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source=arxiv_source observed=2026-08-08T13:35:49.233778Z digest=sha256:da93a78ce21a1b18bce607edba868260c4d539902224da6d131a2f1246112e10

Observation 90a4519f-768a-44bd-99fa-a8732fe43af3 · outbound

This paper cites Big data and.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Big data and

Reference 82

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source=arxiv_source observed=2026-08-08T13:35:49.238407Z digest=sha256:b4ecd3279ff1877c5e922bbf1922c935f3a53992d727a60b2edd764c5e0a63a1

Observation 732b4c26-e844-4c73-af60-c4432ec38023 · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 83

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source=arxiv_source observed=2026-08-08T13:35:49.242531Z digest=sha256:77c94c6c9c4bcc2eb104bbb5c867cbc9a8d0f8d58c1eef9a51a80418504d0a7c

Observation 779aa470-8f32-43e9-bf9b-522aa048c7a5 · outbound

This paper cites Transparency, Governance and Regulation of Algorithmic Tools Deployed in the Criminal Justice System: a.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Transparency, Governance and Regulation of Algorithmic Tools Deployed in the Criminal Justice System: a

Reference 84

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source=arxiv_source observed=2026-08-08T13:35:49.246850Z digest=sha256:cd5a01ecef17df21cd99c370c3248da6c0076582a6420a29540d1d0d70caa265

Observation 79a52ec6-cafa-4e30-971e-19969f372366 · outbound

This paper cites International conference on machine learning , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation International conference on machine learning , pages=

Reference 85

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source=arxiv_source observed=2026-08-08T13:35:49.251396Z digest=sha256:4f60bcb263d63bb69b343ea7df334f5f604b552fabd5713b865a62dcdc9c8c63

Observation 69fd4e26-2b58-46c8-be2e-f11c3156ffa0 · outbound

This paper cites 2024 , eprint=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation 2024 , eprint=

Reference 86

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source=arxiv_source observed=2026-08-08T13:35:49.255709Z digest=sha256:5b7e2ee93bb38af6045115084419e4bab11ae30df54a61c532f2348b4f14ca48

Observation 32f77ade-6476-409c-aeb2-cd6704142ff5 · outbound

This paper cites an unresolved cited work.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Unresolved cited work

Reference 87

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source=arxiv_source observed=2026-08-08T13:35:49.260056Z digest=sha256:881b48d9fd0a52fae0edafa233d8826ef2141544152f0cf6a2095f45cf75eb2f

Observation 77ee2b1e-3308-4c78-9b3c-223858787f76 · outbound

This paper cites Northwestern University Law Review , year=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Northwestern University Law Review , year=

Reference 88

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source=arxiv_source observed=2026-08-08T13:35:49.264387Z digest=sha256:4ed29ab2e7056840585e6b339f8484b4a319b16f22f841a759e573e9050bfafd

Observation f79bc050-75e4-4a1e-ab2c-020c79a8ff9c · outbound

This paper cites Computer Law & Security Review , volume=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Computer Law & Security Review , volume=

Reference 89

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source=arxiv_source observed=2026-08-08T13:35:49.269009Z digest=sha256:64e36eb40b95f973f68f359171a9f0c3ebd0e85874821ab8618d268fce01b900

Observation 40b2813f-13d7-4739-8f6b-15b0ab4bda05 · outbound

This paper cites Proceedings of the 1st ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the 1st ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization , pages=

Reference 90

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source=arxiv_source observed=2026-08-08T13:35:49.273533Z digest=sha256:3ffeea62817dbcf7322dffd82deb5af4a9dff7f53a5cdcfbe2e37b98efa23eef

Observation 2ac09bec-83dd-467e-98b7-88b913b78230 · outbound

This paper cites International Conference on Machine Learning , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation International Conference on Machine Learning , pages=

Reference 91

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source=arxiv_source observed=2026-08-08T13:35:49.278078Z digest=sha256:386466b388c1466f5ac05e062315f4b3285369c4593415d0e782587713097659

Observation 0330e780-5955-4dfa-a772-4099dcae066f · outbound

This paper cites The Measure and Mismeasure of Fairness.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation The Measure and Mismeasure of Fairness

Reference 92

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source=arxiv_source observed=2026-08-08T13:35:49.282410Z digest=sha256:6accb425d4e95abf9ebe74c2dfb64e0ae0d5b1b990500f146714e3c93939a1ba

Observation f7a94add-d30d-48d3-be70-1c38d923413b · outbound

This paper cites Communications of the ACM , volume=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Communications of the ACM , volume=

Reference 93

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source=arxiv_source observed=2026-08-08T13:35:49.287601Z digest=sha256:039d1a7dbd0f0262f1ca017630331ecb6799f798e02600b1a18b192fc12b6b86

Observation 40c5692c-b115-45d5-9b89-8e0d005e402b · outbound

This paper cites Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency , pages=

Reference 94

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source=arxiv_source observed=2026-08-08T13:35:49.291988Z digest=sha256:660ee264546e3198e28fa689aa4e6ecae8297bded1de4869af11e1bfe38a4684

Observation 2e450712-91b5-46d5-8d62-76fc6e2acb23 · outbound

This paper cites Sociological Methods & Research , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Sociological Methods & Research , pages=

Reference 95

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source=arxiv_source observed=2026-08-08T13:35:49.296535Z digest=sha256:4793974d0514892f805ec56acc6d19c8c8e31ee4c6fff2480257ce75dd3b6aa1

Observation d4ce84e5-4059-4b49-943b-7d4b64d3328d · outbound

This paper cites Uncertainty in Artificial Intelligence , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Uncertainty in Artificial Intelligence , pages=

Reference 96

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source=arxiv_source observed=2026-08-08T13:35:49.300856Z digest=sha256:f5b3cd3da5444896eabacaf9a4960fb99653bf21dc98195d18ed607eb3590d0d

Observation f11d8eb1-06fb-485b-9f93-b6b8068ff824 · outbound

This paper cites Artificial Intelligence and Law , volume=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Artificial Intelligence and Law , volume=

Reference 97

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source=arxiv_source observed=2026-08-08T13:35:49.305185Z digest=sha256:e4737b2d6fd4d6bab9989a4ef6dffaf4ba391ae075586e33b89f4da98b3e4407

Observation dc0354e1-c3cf-4186-b6a5-999da79fe320 · outbound

This paper cites Information, Communication & Society , volume=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Information, Communication & Society , volume=

Reference 98

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source=arxiv_source observed=2026-08-08T13:35:49.309719Z digest=sha256:67fc3842e2bc408cb5607c0d906ac235a10c865a8f565695a95998d6177a0e07

Observation 8ac534ae-c523-4b3d-a7f5-0b84ed03c970 · outbound

This paper cites Proceedings of the conference on fairness, accountability, and transparency , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the conference on fairness, accountability, and transparency , pages=

Reference 99

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source=arxiv_source observed=2026-08-08T13:35:49.314173Z digest=sha256:60074ac24f87debf0d5d50e88debf825cca1fba0d7b57c1fd55be9754fc9be0d

Observation 65dad834-4745-4363-b268-bf30c126f713 · outbound

This paper cites Proceedings of the Conference on Fairness, Accountability, and Transparency , pages=.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Proceedings of the Conference on Fairness, Accountability, and Transparency , pages=

Reference 100

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source=arxiv_source observed=2026-08-08T13:35:49.318578Z digest=sha256:c04ce176d669bc4b628c8be4e63829d6bd8259974bd849a84bb091ecfa19d1ad

Pith citing papers

No inbound Pith citation observations are available.