mlsanityData to 14 Oct 2026

AI in Money Matters

arXiv 2505.07393 ↗First posted 12 May 2025cs.CY cs.AIcited by 0

Not on the map. Why?

Abstract (arXiv)

In November 2022, Europe and the world by and large were stunned by the birth of a new large language model : ChatGPT. Ever since then, both academic and populist discussions have taken place in various public spheres such as LinkedIn and X(formerly known as Twitter) with the view to both understand the tool and its benefits for the society. The views of real actors in professional spaces, especially in regulated industries such as finance and law have been largely missing. We aim to begin to close this gap by presenting results from an empirical investigation conducted through interviews with professional actors in the Fintech industry. The paper asks the question, how and to what extent are large language models in general and ChatGPT in particular being adopted and used in the Fintech industry? The results show that while the fintech experts we spoke with see a potential in using large language models in the future, a lot of questions marks remain concerning how they are policed and therefore might be adopted in a regulated industry such as Fintech. This paper aims to add to the existing academic discussing around large language models, with a contribution to our understanding of professional viewpoints.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 11 of its 65 references that are in the map. First posted on arXiv 12 May 2025.

Builds on

11 of 65 references.

References · 11

  1. 2017Attention Is All You Needcited by 60,361
  2. 2018A Survey Of Methods For Explaining Black Box Modelscited by 973
  3. 2023Using an LLM to Help With Code Understandingcited by 228
  4. 2023Generative AIcited by 120
  5. 2023LLMs Accelerate Annotation for Medical Information Extractioncited by 77
  6. 2023How Knowledge Workers Think Generative AI Will (Not) Transform Their Industriescited by 30
  7. 2023LLM for SoC Security: A Paradigm Shiftcited by 22
  8. 2024Using LLMs in Software Requirements Specifications: An Empirical Evaluationcited by 20
  9. 2023The Impact of ChatGPT and LLMs on Medical Imaging Stakeholders: Perspectives and Use Casescited by 7
  10. 2016The Singularity May Never Be Nearcited by 4
  11. 2018The Users' Perspective on the Privacy-Utility Trade-offs in Health Recommender Systemscited by 3

Built on by

Not cited yet.