Understanding and Mitigating Risks of Generative AI in Financial Services | Paper Citation Record

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This paper cites Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations.

Understanding and Mitigating Risks of Generative AI in Financial Services Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations

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Understanding and Mitigating Risks of Generative AI in Financial Services Discussing ethical considerations and solutions for ensuring fairness in ai-driven ﬁnancial services

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Understanding and Mitigating Risks of Generative AI in Financial Services Bowman , Ethan Perez, Roger Baker Grosse, and David Duvenaud

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Understanding and Mitigating Risks of Generative AI in Financial Services Unresolved cited work

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Understanding and Mitigating Risks of Generative AI in Financial Services Reg bi-relat ed changes to ﬁnra rules

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Understanding and Mitigating Risks of Generative AI in Financial Services Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

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Understanding and Mitigating Risks of Generative AI in Financial Services Constitutional AI: Harmlessness from AI Feedback

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Understanding and Mitigating Risks of Generative AI in Financial Services SR 23-4 Intera- gency Guidance on Third-Party Relationships: Risk Managem ent, 2023

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Understanding and Mitigating Risks of Generative AI in Financial Services Annual performance plan 2025

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Understanding and Mitigating Risks of Generative AI in Financial Services On the Opportunities and Risks of Foundation Models

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Understanding and Mitigating Risks of Generative AI in Financial Services How a myster y trader with an algorithm may have caused the ﬂash crash

Reference 11

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Understanding and Mitigating Risks of Generative AI in Financial Services Explore, establish, exploit: Red teaming language models from scratch, 2024

Reference 12

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Understanding and Mitigating Risks of Generative AI in Financial Services Remarks before the con ference on emerging trends in asset management

Reference 14

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Understanding and Mitigating Risks of Generative AI in Financial Services Academics can con tribute to domain-specialized language models

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Understanding and Mitigating Risks of Generative AI in Financial Services The Llama 3 Herd of Models

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Understanding and Mitigating Risks of Generative AI in Financial Services Meet the chairs leading the devel opment of the ﬁrst general-purpose ai code of practice, September 202 4

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Understanding and Mitigating Risks of Generative AI in Financial Services Guidelines 9/2022 on p ersonal data breach notiﬁcation under gdpr version 2.0, March 2023

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Understanding and Mitigating Risks of Generative AI in Financial Services The ESAs Ann ounce Timeline to Collect Information for the Desig- nation of Critical ICT Third-Party Service Providers under the Digital Operational Resilience Act, 2024

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Understanding and Mitigating Risks of Generative AI in Financial Services Rep ort on Digital Investment Advice, March 2016

Reference 20

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Understanding and Mitigating Risks of Generative AI in Financial Services FIN RA Reminds Firms of their Su- pervisory Obligations Related to Outsourcing to Third-Par ty V endors, 2021

Reference 22

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Understanding and Mitigating Risks of Generative AI in Financial Services FIN RA Reminds Members of Regulatory Obli- gations When Using Generative Artiﬁcial Intelligence and L arge Language Models, 2024

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Understanding and Mitigating Risks of Generative AI in Financial Services AI A pplications in the Securities Industry, 2025

Reference 24

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Understanding and Mitigating Risks of Generative AI in Financial Services FIN RA Rule 2210(d)(1): Communications with the Public,

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Understanding and Mitigating Risks of Generative AI in Financial Services FIN RA Rule 2210(a)-(b): Communications with the Public,

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Understanding and Mitigating Risks of Generative AI in Financial Services Final rule fact sheet: Beneﬁcial ownership information access and safeguards, and use of ﬁnc en identiﬁers for entities

Reference 27

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Understanding and Mitigating Risks of Generative AI in Financial Services Finan cial crimes enforce- ment network: Anti-money laundering/countering the ﬁnanc ing of terrorism

Reference 28

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Understanding and Mitigating Risks of Generative AI in Financial Services Deﬁnitions and general standards for communications with the public, incl uding categorization of communication types

Reference 29

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Understanding and Mitigating Risks of Generative AI in Financial Services Owasp top 10 for large language mo del applications, 2025

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Understanding and Mitigating Risks of Generative AI in Financial Services Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

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Understanding and Mitigating Risks of Generative AI in Financial Services Chatbots reset: A framework for g overn- ing responsible use of conversational ai in healthcare

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Understanding and Mitigating Risks of Generative AI in Financial Services Ginsburg and Luke Ali Budiardjo

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Understanding and Mitigating Risks of Generative AI in Financial Services Not what you’ve signed up for: Compromising real-world llm-int egrated applications with indirect prompt in- jection

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Understanding and Mitigating Risks of Generative AI in Financial Services AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts

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Understanding and Mitigating Risks of Generative AI in Financial Services From chatgpt to threatgpt: Impact of generative ai in cybersecurity and p rivacy

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Understanding and Mitigating Risks of Generative AI in Financial Services WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs

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Understanding and Mitigating Risks of Generative AI in Financial Services Systemic innovation and risk: techno logy assessment and the chal- lenge of responsible innovation

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Understanding and Mitigating Risks of Generative AI in Financial Services Guan, Manas R

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Understanding and Mitigating Risks of Generative AI in Financial Services Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

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Understanding and Mitigating Risks of Generative AI in Financial Services Sell side vs buy side: What’s the difference?, May 2024

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Understanding and Mitigating Risks of Generative AI in Financial Services Challenges and Applications of Large Language Models

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Understanding and Mitigating Risks of Generative AI in Financial Services Unresolved cited work

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Understanding and Mitigating Risks of Generative AI in Financial Services A Hazard Analysis Framework for Code Synthesis Large Language Models

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Understanding and Mitigating Risks of Generative AI in Financial Services Regulating bot speech

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Understanding and Mitigating Risks of Generative AI in Financial Services Engineering a safer world: Systems thinking applied to safe ty

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Understanding and Mitigating Risks of Generative AI in Financial Services Kaminski

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Understanding and Mitigating Risks of Generative AI in Financial Services 31 cfr § 1023.320 - r eports by brokers or dealers in securities of suspicious transactions

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Understanding and Mitigating Risks of Generative AI in Financial Services Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

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Understanding and Mitigating Risks of Generative AI in Financial Services A Holistic Approach to Undesired Content Detection in the Real World

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Understanding and Mitigating Risks of Generative AI in Financial Services Large language models in ﬁnance: A survey

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Understanding and Mitigating Risks of Generative AI in Financial Services A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

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Understanding and Mitigating Risks of Generative AI in Financial Services Stocktaking for the development of an ai incident deﬁni- tion

Reference 53

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Understanding and Mitigating Risks of Generative AI in Financial Services Deﬁning ai incidents and related terms

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Understanding and Mitigating Risks of Generative AI in Financial Services Gemma: Open Models Based on Gemini Research and Technology

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Understanding and Mitigating Risks of Generative AI in Financial Services Unresolved cited work

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Understanding and Mitigating Risks of Generative AI in Financial Services Gaps in the safety evaluation of gener- ative ai

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.675724Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5bbaf776-5e51-4957-b716-0c0a0b14838d · outbound

This paper cites Responsible innovation.

Understanding and Mitigating Risks of Generative AI in Financial Services Responsible innovation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.660981Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f75e28c-cb4a-45ba-a4df-a034ca9f5db1 · outbound

This paper cites Ai in the ﬁnancial sector: The line between innov ation, regulation and ethical responsibility.

Understanding and Mitigating Risks of Generative AI in Financial Services Ai in the ﬁnancial sector: The line between innov ation, regulation and ethical responsibility

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.648678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0d49ef5e-959e-4d1d-9825-87e813e6e5bf · outbound

This paper cites Artiﬁ cial intelligence risk management framework (ai rmf 1.0), 2023.

Understanding and Mitigating Risks of Generative AI in Financial Services Artiﬁ cial intelligence risk management framework (ai rmf 1.0), 2023

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.700431Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 55c7ac80-3d33-436a-ad8c-a1fe9cf8932f · outbound

This paper cites Beware the gap: governance arrangements in the face of ai innovation.

Understanding and Mitigating Risks of Generative AI in Financial Services Beware the gap: governance arrangements in the face of ai innovation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.635894Z

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This paper cites Securities and Exchange Commission.

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.622841Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bd43b729-f8b5-408f-864b-d6db08f9d188 · outbound

This paper cites Securities and Exchange Commission.

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.609498Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1112810e-193a-47fa-91ae-739443af87b9 · outbound

This paper cites Securities and Exchange Commission (SEC).

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission (SEC)

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.595553Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d1b9ea16-1886-4b4c-925c-989fd95649e0 · outbound

This paper cites Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts.

Understanding and Mitigating Risks of Generative AI in Financial Services Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T10:19:10.542203Z

Source-reported events for the cited work

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This paper cites Securities and Exchange Commission (SEC).

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission (SEC)

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.566421Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 499155ef-3b87-41d4-a90e-115d88c195cb · outbound

This paper cites Selbst, Danah Boyd, Sorelle A.

Understanding and Mitigating Risks of Generative AI in Financial Services Selbst, Danah Boyd, Sorelle A

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.552996Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f9dcce1d-4b61-42e1-ba64-600ba1302714 · outbound

This paper cites Sociotechnical harms of algo- rithmic systems: Scoping a taxonomy for harm reduction.

Understanding and Mitigating Risks of Generative AI in Financial Services Sociotechnical harms of algo- rithmic systems: Scoping a taxonomy for harm reduction

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-16T10:19:10.572444Z

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Understanding and Mitigating Risks of Generative AI in Financial Services Model evaluation for extreme risks

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-16T10:19:10.576400Z

Source-reported events for the cited work

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This paper cites Securities and Exchange Commission (SEC).

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission (SEC)

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.581613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6bf0c4a8-f809-4124-91f8-699d66f46a3b · outbound

This paper cites Evaluating the Social Impact of Generative AI Systems in Systems and Society.

Understanding and Mitigating Risks of Generative AI in Financial Services Evaluating the Social Impact of Generative AI Systems in Systems and Society

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-16T10:19:10.583863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 834a31f6-29c8-445f-aa1b-28af465fa0ec · outbound

This paper cites Regulation of investment advisers by the sec, Mar ch 2013.

Understanding and Mitigating Risks of Generative AI in Financial Services Regulation of investment advisers by the sec, Mar ch 2013

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.527879Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d6a4ea32-cca8-49d2-a590-7250fade631c · outbound

This paper cites Devel oping a framework for responsible in- novation*.

Understanding and Mitigating Risks of Generative AI in Financial Services Devel oping a framework for responsible in- novation*

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.514962Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3fc47fe3-3657-430c-a33b-4b78160bd160 · outbound

This paper cites Ai ethics and systemic risks in ﬁna nce.

Understanding and Mitigating Risks of Generative AI in Financial Services Ai ethics and systemic risks in ﬁna nce

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.502320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ceb391e0-28db-4df3-bd66-6bdc0b2c1687 · outbound

This paper cites Process for adapt ing language models to society (P ALMS) with values-targeted datasets.

Understanding and Mitigating Risks of Generative AI in Financial Services Process for adapt ing language models to society (P ALMS) with values-targeted datasets

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.540435Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 377e81d5-726b-40a0-b13b-322061901284 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Understanding and Mitigating Risks of Generative AI in Financial Services LLaMA: Open and Efficient Foundation Language Models

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-16T10:19:10.603467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f004c797-e8f7-4247-b256-2476ac4ebe93 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Understanding and Mitigating Risks of Generative AI in Financial Services Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-16T10:19:10.608070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 395d68ba-d97a-4a09-9a56-ab36e24ab42c · outbound

This paper cites Securities and Exchange Commission.

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.474519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d6b124bd-1734-4c01-88b5-ea7c6c64c62d · outbound

This paper cites Securities and Exchange Commission.

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.458143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a1fef46a-4912-478a-aef8-ab6a6c1178f7 · outbound

This paper cites Lessons from red teaming 100 gene rative ai products, 2025.

Understanding and Mitigating Risks of Generative AI in Financial Services Lessons from red teaming 100 gene rative ai products, 2025

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.489083Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c470a45f-e928-4103-8c60-553e68bbdb5d · outbound

This paper cites Securities and Exchange Commission.

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.428643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 70bfffde-4e31-42ea-9913-77471e91cb67 · outbound

This paper cites Securities and Exchange Commission.

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.414294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 52583306-c714-4c04-bf0b-d616fcac4dc4 · outbound

This paper cites Securities and Exchange Commission (SEC).

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission (SEC)

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.400272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 50562b47-a8c5-4f58-9739-85071edce185 · outbound

This paper cites Securities and Exchange Commission (SEC).

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission (SEC)

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.385549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f041aee4-98ef-40eb-938f-de4ec7e363df · outbound

This paper cites Securities and Exchange Commission.

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.443269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 27dd3b15-2888-42d0-b754-767239397de3 · outbound

This paper cites Operationalizing a threat model for red-teaming large language models (llms).

Understanding and Mitigating Risks of Generative AI in Financial Services Operationalizing a threat model for red-teaming large language models (llms)

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-16T10:19:10.645698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d9c669d-88a2-4ab6-b040-5600fbb75b70 · outbound

This paper cites Introducing v0.5 of the AI Safety Benchmark from MLCommons.

Understanding and Mitigating Risks of Generative AI in Financial Services Introducing v0.5 of the AI Safety Benchmark from MLCommons

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-16T10:19:10.649842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83fc220b-85a1-4ad9-8152-0f4465d576dc · outbound

This paper cites Risk society revisited: Theory, polit ics and research programmes.

Understanding and Mitigating Risks of Generative AI in Financial Services Risk society revisited: Theory, polit ics and research programmes

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.356092Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2eea336d-983b-4997-8054-6a9a1dc73809 · outbound

This paper cites STAND-Guard: A Small Task-Adaptive Content Moderation Model.

Understanding and Mitigating Risks of Generative AI in Financial Services STAND-Guard: A Small Task-Adaptive Content Moderation Model

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-16T10:19:10.658430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71b3d5ad-846f-4cd2-a43c-37fd67b7e154 · outbound

This paper cites Securities and Exchange Commission (SEC).

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission (SEC)

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.370079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9dc04d45-3be3-4b78-bee4-635815c5f0dc · outbound

This paper cites Ethical and social risks of harm from Language Models.

Understanding and Mitigating Risks of Generative AI in Financial Services Ethical and social risks of harm from Language Models

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-16T10:19:10.665497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Understanding and Mitigating Risks of Generative AI in Financial Services Sociotechnical Safety Evaluation of Generative AI Systems

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-16T10:19:10.669245Z

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Observation ab0e0de5-8bef-43d9-bb60-5faa37dcba8b · outbound

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Understanding and Mitigating Risks of Generative AI in Financial Services BloombergGPT: A Large Language Model for Finance

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-16T10:19:10.673689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites F inGPT: Open-source ﬁnancial large language mod- els.

Understanding and Mitigating Risks of Generative AI in Financial Services F inGPT: Open-source ﬁnancial large language mod- els

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-16T10:19:10.677580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a405297-5f17-4889-a863-d7f9340c9cd6 · outbound

This paper cites Do-not-answer: Evaluating safe- guards in LLMs.

Understanding and Mitigating Risks of Generative AI in Financial Services Do-not-answer: Evaluating safe- guards in LLMs

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.342951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f9e1ef7f-6fac-4dee-bf8e-581bcfb2a707 · outbound

This paper cites ShieldGemma: Generative AI Content Moderation Based on Gemma.

Understanding and Mitigating Risks of Generative AI in Financial Services ShieldGemma: Generative AI Content Moderation Based on Gemma

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-16T10:19:10.684777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71f52e37-6b29-4ead-a093-6c32908639dc · outbound

This paper cites RigorLLM: Resilient guardrails for large language models against undesired con tent.

Understanding and Mitigating Risks of Generative AI in Financial Services RigorLLM: Resilient guardrails for large language models against undesired con tent

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:19:11.329627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2cf149c9-f332-4449-954f-a8b131cf93af · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Risks of Generative AI in Financial Services Unresolved cited work

Reference 2018

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:19:11.879147Z

Source-reported events for the cited work

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Observation 22c9e370-c8ba-4f7a-ae2c-6e1281782cae · outbound

This paper cites Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling.

Understanding and Mitigating Risks of Generative AI in Financial Services Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T10:19:10.333705Z

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Observation e92432e0-daf7-48e9-9586-b5becd6323bd · outbound

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Understanding and Mitigating Risks of Generative AI in Financial Services Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:19:11.726111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 898c7fb0-d64d-40d3-abda-f2ef32b13839 · outbound

This paper cites Regulations for communications with the public, covering content standard s for broker-dealers.

Understanding and Mitigating Risks of Generative AI in Financial Services Regulations for communications with the public, covering content standard s for broker-dealers

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-16T10:19:10.388276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Outbound references

Pith citing papers