{"id":26351,"date":"2026-03-26T09:00:00","date_gmt":"2026-03-26T13:00:00","guid":{"rendered":"https:\/\/gestionderiesgo.org\/?p=26351"},"modified":"2026-10-12T21:42:55","modified_gmt":"2026-10-13T01:42:55","slug":"fsi-insights-73-in-data-we-trust-ai-data-use-financial-services","status":"publish","type":"post","link":"https:\/\/gestionderiesgo.org\/en\/fsi-insights-73-in-data-we-trust-ai-data-use-financial-services\/","title":{"rendered":"In data we trust? Emerging policy and supervisory approaches to AI data use in financial services"},"content":{"rendered":"<div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-sizes-top:0px;--awb-border-sizes-bottom:0px;--awb-border-sizes-left:0px;--awb-border-sizes-right:0px;--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-padding-right:60px;--awb-padding-bottom:20px;--awb-padding-left:60px;--awb-padding-right-medium:30px;--awb-padding-left-medium:30px;--awb-padding-right-small:14px;--awb-padding-left-small:12px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1248px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column 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.cgp-cover.cgp-doc{aspect-ratio:4\/3}#cgr-pub .cgp-head{grid-template-columns:minmax(0,1fr);gap:26px}#cgr-pub .cgp-body{grid-template-columns:minmax(0,1fr);gap:30px}#cgr-pub .cgp-side{position:static}}\n@media(max-width:520px){#cgr-pub{font-size:16px}#cgr-pub .cgp-facts{grid-template-columns:minmax(0,1fr)}#cgr-pub .cgp-btn{width:100%;justify-content:center}}\n<\/style>\n<div id=\"cgr-pub\">\n<header class=\"cgp-head\">\n<figure class=\"cgp-cover cgp-doc\"><i style=\"background-image:url(https:\/\/gestionderiesgo.org\/wp-content\/uploads\/2026\/10\/pub-fsi-insights-73-in-data-we-trust-ai-data-use-financial-services.jpg?v=1791855741)\"><\/i><img fetchpriority=\"high\" src=\"https:\/\/gestionderiesgo.org\/wp-content\/uploads\/2026\/10\/pub-fsi-insights-73-in-data-we-trust-ai-data-use-financial-services.jpg?v=1791855741\" width=\"720\" height=\"1018\" alt=\"Primera p\u00e1gina del documento: In data we trust? Emerging policy and supervisory approaches to AI data use in financial services\" loading=\"eager\" decoding=\"async\"><\/figure>\n<div class=\"cgp-intro\">\n<p class=\"cgp-kind\">Study \u00b7 International body<\/p>\n<h2 class=\"cgp-title\">In data we trust? Emerging policy and supervisory approaches to AI data use in financial services<\/h2>\n<p class=\"cgp-lead\">The adoption of generative AI amplifies the financial sector\u2019s data problems and calls for more specific supervisory guidance.<\/p>\n<dl class=\"cgp-facts\"><div><dt>Organization<\/dt><dd>Financial Stability Institute (FSI) of the BIS<\/dd><\/div><div><dt>Document date<\/dt><dd>26 March 2026<\/dd><\/div><div><dt>Type<\/dt><dd>Study<\/dd><\/div><div><dt>Language<\/dt><dd>English<\/dd><\/div><div><dt>Scope<\/dt><dd>International<\/dd><\/div><div><dt>Length<\/dt><dd>43 pages<\/dd><\/div><div><dt>Authorship<\/dt><dd>Juan Carlos Crisanto, Adrien Currat, Johannes Ehrentraud and Wenguang Wu<\/dd><\/div><\/dl>\n<div class=\"cgp-actions\"><a class=\"cgp-btn\" href=\"https:\/\/www.bis.org\/publications\/fsi-insight-73-data-we-trust-emerging-policy-and-supervisory-approaches-ai-data-use-financial-services\" target=\"_blank\" rel=\"noopener noreferrer\"><svg viewbox=\"0 0 24 24\" aria-hidden=\"true\"><path d=\"M14 4h6v6\"\/><path d=\"M20 4l-9 9\"\/><path d=\"M18 14v5a1 1 0 0 1-1 1H5a1 1 0 0 1-1-1V7a1 1 0 0 1 1-1h5\"\/><\/svg>See the official source<\/a><a class=\"cgp-btn alt\" href=\"https:\/\/www.bis.org\/publications\/fsi-insight-73-data-we-trust-emerging-policy-and-supervisory-approaches-ai-data-use-financial-services.pdf\" target=\"_blank\" rel=\"noopener noreferrer\"><svg viewbox=\"0 0 24 24\" aria-hidden=\"true\"><path d=\"M7 3h7l5 5v12a1 1 0 0 1-1 1H7a1 1 0 0 1-1-1V4a1 1 0 0 1 1-1z\"\/><path d=\"M14 3v5h5\"\/><path d=\"M9 14h6\"\/><path d=\"M9 17h4\"\/><\/svg>PDF document<\/a><\/div>\n<\/div>\n<\/header>\n<div class=\"cgp-body\">\n<div class=\"cgp-main\">\n<h3>What it contains<\/h3>\n<p>FSI Insights No 73, published on 26 March 2026 by Juan Carlos Crisanto, Adrien Currat, Johannes Ehrentraud and Wenguang Wu, starts from the fact that advanced AI, such as generative AI, depends on vast and diverse amounts of data across all stages of its life cycle, so sound data management is essential for reliable applications and for preserving trust in the financial system. Data problems are not new, but the sector identifies them as significant barriers to scaling generative AI: incompatible and fragmented sources, inconsistent quality and new challenges with synthetic and alternative data, with privacy, quality and security as the most pressing concerns, made worse by third-party dependencies.<\/p><p>The paper reviews data protection and AI frameworks: privacy principles (lawful basis, meaningful consent, purpose limitation, minimisation and retention limitation) are hard to uphold in AI systems that use large volumes of personal data; data quality (accuracy, completeness and representativeness) is central, although the statistical \u201caccuracy\u201d of AI and the accuracy required by data protection are understood differently; and data security is key to operational resilience. Data governance is the backbone, with accountability as the guiding principle. Financial authorities rely on general data protection frameworks and on non-prescriptive guidance on data management, model risk and operational resilience (including the BCBS 239 principles), with thematic reviews and information papers, and early signs of convergence are emerging.<\/p><p>Tensions persist between technological capabilities and data protection requirements, and frameworks designed for traditional uses may not capture the complexity of generative AI ecosystems; third-party dependencies complicate oversight because of limited data visibility across the AI supply chain and provider concentration. The FSI suggests that authorities could issue tailored guidance on data governance, quality, security and third-party dependencies (for example, data lineage and monitoring of providers), foster good practices through thematic reviews and strengthen collaboration with data protection authorities and industry.<\/p>\n<section class=\"cgp-importa\"><h3>Why it matters for risk management<\/h3><p>It helps review the data governance of the institution\u2019s AI models and tools: data origin and quality, privacy, security and dependence on providers, and anticipate supervisors\u2019 guidance. It is a comparative analysis of foreign authorities and frameworks; it should be read alongside local data protection regulation.<\/p><\/section>\n<p class=\"cgp-note\">Summary prepared by the Dominican Republic Risk Management Club from a reading of the original document, with the source verified on 12 October 2026. It does not replace reading the official text and is not advice.<\/p>\n<p class=\"cgp-back\"><a href=\"\/en\/publicaciones\/\">See all publications<\/a><\/p>\n<\/div>\n<aside class=\"cgp-side\">\n<section class=\"cgp-card\"><h3>Key points<\/h3><ul class=\"cgp-points\"><li>Generative AI amplifies the sector\u2019s data weaknesses: fragmented sources, uneven quality and synthetic and alternative data.<\/li><li>Data privacy, quality and security are the most pressing concerns, made worse by dependence on third parties.<\/li><li>Authorities use general data protection frameworks and non-prescriptive guidance (including BCBS 239), with early signs of convergence.<\/li><li>Tensions persist between AI capabilities and data protection requirements.<\/li><li>Tailored guidance on data governance, quality and security and on third parties is suggested, with more cooperation with data protection authorities.<\/li><\/ul><\/section>\n<section class=\"cgp-card\"><h3>How to cite it<\/h3><p class=\"cgp-cite\">Crisanto, J. C., Currat, A., Ehrentraud, J. and Wu, W. (2026). In data we trust? Emerging policy and supervisory approaches to AI data use in financial services. FSI Insights on policy implementation, No 73. Basel: Bank for International Settlements, 26 March 2026.<\/p><\/section>\n<section class=\"cgp-card\"><h3>Topics<\/h3><ul class=\"cgp-chips\"><li><a href=\"\/en\/publicaciones\/?tema=innovacion-e-inteligencia-artificial\">Innovation and artificial intelligence<\/a><\/li><li><a href=\"\/en\/publicaciones\/?tema=ciberseguridad-y-tecnologia\">Cybersecurity and technology<\/a><\/li><li><a href=\"\/en\/publicaciones\/?tema=normativa-y-gobierno-corporativo\">Regulation and corporate governance<\/a><\/li><li><a href=\"\/en\/publicaciones\/?tema=riesgo-de-terceros\">Third-party risk<\/a><\/li><\/ul><\/section>\n<\/aside>\n<\/div>\n<\/div><link rel=\"stylesheet\" href=\"https:\/\/fonts.googleapis.com\/css2?family=Zilla+Slab:wght@500;600&display=swap\">\n<footer id=\"cgr-foot\" aria-label=\"Footer of the Risk Management 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0-1.9 1.9C2 8.9 2 12 2 12s0 3.1.4 4.8a2.7 2.7 0 0 0 1.9 1.9c1.7.5 7.7.5 7.7.5s6 0 7.7-.5a2.7 2.7 0 0 0 1.9-1.9c.4-1.7.4-4.8.4-4.8s0-3.1-.4-4.8ZM10 15V9l5.2 3Z\"\/><\/svg><\/a>\n      <a href=\"https:\/\/www.instagram.com\/gestionriesgodr\/\" target=\"_blank\" rel=\"noopener\" aria-label=\"Instagram\"><svg viewbox=\"0 0 24 24\"><path d=\"M12 7.3a4.7 4.7 0 1 0 0 9.4 4.7 4.7 0 0 0 0-9.4Zm0 7.7a3 3 0 1 1 0-6 3 3 0 0 1 0 6Zm6-7.9a1.1 1.1 0 1 1-2.2 0 1.1 1.1 0 0 1 2.2 0ZM12 4.6c2.4 0 2.7 0 3.6.1 2.4.1 3.6 1.3 3.7 3.7.1.9.1 1.2.1 3.6s0 2.7-.1 3.6c-.1 2.4-1.3 3.6-3.7 3.7-.9.1-1.2.1-3.6.1s-2.7 0-3.6-.1c-2.4-.1-3.6-1.3-3.7-3.7-.1-.9-.1-1.2-.1-3.6s0-2.7.1-3.6c.1-2.4 1.3-3.6 3.7-3.7.9-.1 1.2-.1 3.6-.1ZM12 3c-2.4 0-2.8 0-3.7.1-3.3.2-5 1.9-5.2 5.2C3 9.2 3 9.6 3 12s0 2.8.1 3.7c.2 3.3 1.9 5 5.2 5.2.9.1 1.3.1 3.7.1s2.8 0 3.7-.1c3.3-.2 5-1.9 5.2-5.2.1-.9.1-1.3.1-3.7s0-2.8-.1-3.7c-.2-3.3-1.9-5-5.2-5.2C14.8 3 14.4 3 12 3Z\"\/><\/svg><\/a>\n      <a href=\"https:\/\/www.facebook.com\/gestionriesgodr\/\" target=\"_blank\" rel=\"noopener\" aria-label=\"Facebook\"><svg viewbox=\"0 0 24 24\"><path d=\"M13.5 21v-7.5H16l.4-3h-2.9V8.6c0-.9.3-1.5 1.5-1.5h1.5V4.4c-.3 0-1.2-.1-2.2-.1-2.2 0-3.7 1.3-3.7 3.8v2.4H8.1v3h2.5V21z\"\/><\/svg><\/a>\n      <a href=\"https:\/\/twitter.com\/gestionriesgodr\" target=\"_blank\" rel=\"noopener\" aria-label=\"X (Twitter)\"><svg viewbox=\"0 0 24 24\"><path d=\"M17.5 3.5h3l-6.6 7.5 7.8 9.5h-6.1l-4.8-5.9-5.5 5.9h-3l7.1-8L2.7 3.5H9l4.3 5.4Zm-1 15.3h1.7L7.6 5.1H5.8Z\"\/><\/svg><\/a>\n    <\/div>\n  <\/div>\n  <nav class=\"cgf-col\" aria-label=\"The Club\">\n    <h3>The Club<\/h3>\n    <ul>\n      <li><a href=\"\/en\/quienes-somos\/\">Who we are<\/a><\/li>\n      <li><a href=\"\/en\/miembros-fundadores-y-directores\/\">Founders and directors<\/a><\/li>\n      <li><a href=\"\/en\/comisiones-de-trabajo\/\">Working committees<\/a><\/li>\n      <li><a href=\"\/en\/organigrama\/\">Organization Chart<\/a><\/li>\n      <li><a href=\"\/en\/estatutos\/\">Bylaws<\/a><\/li>\n  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href=\"\/en\/noticias\/\">News<\/a><\/li>\n      <li><a href=\"\/en\/publicaciones-y-o-comunicaciones\/\">Documents of interest<\/a><\/li>\n      <li><a href=\"\/en\/forum\/\">Forum<\/a><\/li>\n    <\/ul>\n  <\/nav>\n  <div class=\"cgf-col cgf-ct\">\n    <h3>Contact<\/h3>\n    <ul>\n      <li><svg viewbox=\"0 0 24 24\" aria-hidden=\"true\"><path d=\"M12 21s-6.5-5.6-6.5-11a6.5 6.5 0 0 1 13 0c0 5.4-6.5 11-6.5 11Z\"\/><circle cx=\"12\" cy=\"10\" r=\"2.3\"\/><\/svg><span>La Isla Building, office 206. Av. Tiradentes at the corner of Presidente Gonz\u00e1lez, Ensanche Naco, Santo Domingo<\/span><\/li>\n      <li><svg viewbox=\"0 0 24 24\" aria-hidden=\"true\"><path d=\"M5 4h4l2 5-2.5 1.5a11 11 0 0 0 5 5L15 13l5 2v4a2 2 0 0 1-2 2A16 16 0 0 1 3 6a2 2 0 0 1 2-2\"\/><\/svg><span><a href=\"tel:+18097453289\">809-745-3289<\/a><br><a href=\"tel:+18494774959\">849-477-4959<\/a><a class=\"cgf-wa\" href=\"https:\/\/wa.me\/18494774959\" target=\"_blank\" rel=\"noopener\" aria-label=\"Escribir por WhatsApp al 849-477-4959 (se abre en una pesta\u00f1a nueva)\" title=\"WhatsApp\"><svg viewbox=\"0 0 24 24\" aria-hidden=\"true\"><path d=\"M17.472 14.382c-.297-.149-1.758-.867-2.03-.967-.273-.099-.471-.148-.67.15-.197.297-.767.966-.94 1.164-.173.199-.347.223-.644.075-.297-.15-1.255-.463-2.39-1.475-.883-.788-1.48-1.761-1.653-2.059-.173-.297-.018-.458.13-.606.134-.133.298-.347.446-.52.149-.174.198-.298.298-.497.099-.198.05-.371-.025-.52-.075-.149-.669-1.612-.916-2.207-.242-.579-.487-.5-.669-.51-.173-.008-.371-.01-.57-.01-.198 0-.52.074-.792.372-.272.297-1.04 1.016-1.04 2.479 0 1.462 1.065 2.875 1.213 3.074.149.198 2.096 3.2 5.077 4.487.709.306 1.262.489 1.694.625.712.227 1.36.195 1.871.118.571-.085 1.758-.719 2.006-1.413.248-.694.248-1.289.173-1.413-.074-.124-.272-.198-.57-.347m-5.421 7.403h-.004a9.87 9.87 0 01-5.031-1.378l-.361-.214-3.741.982.998-3.648-.235-.374a9.86 9.86 0 01-1.51-5.26c.001-5.45 4.436-9.884 9.888-9.884 2.64 0 5.122 1.03 6.988 2.898a9.825 9.825 0 012.893 6.994c-.003 5.45-4.437 9.884-9.885 9.884m8.413-18.297A11.815 11.815 0 0012.05 0C5.495 0 .16 5.335.157 11.892c0 2.096.547 4.142 1.588 5.945L.057 24l6.305-1.654a11.882 11.882 0 005.683 1.448h.005c6.554 0 11.89-5.335 11.893-11.893a11.821 11.821 0 00-3.48-8.413Z\"\/><\/svg><\/a><\/span><\/li>\n      <li><svg viewbox=\"0 0 24 24\" aria-hidden=\"true\"><rect x=\"3\" y=\"5\" width=\"18\" height=\"14\" rx=\"2\"\/><path d=\"m3.5 6.5 8.5 6.5 8.5-6.5\"\/><\/svg><a href=\"mailto:info@gestionderiesgo.org\">info@gestionderiesgo.org<\/a><\/li>\n      <li><svg viewbox=\"0 0 24 24\" aria-hidden=\"true\"><circle cx=\"12\" cy=\"12\" r=\"9\"\/><path d=\"M12 7v5l3 2\"\/><\/svg><span>Monday to Thursday, 8:30 a.m. to 5:30 p.m.<br>Friday, 8:30 a.m. to 5:00 p.m.<\/span><\/li>\n    <\/ul>\n  <\/div>\n<\/div>\n\n<div class=\"cgf-bar\">\n  <div class=\"cgf-legal\"><img decoding=\"async\" class=\"cgf-pay\" src=\"https:\/\/gestionderiesgo.org\/wp-content\/uploads\/2023\/01\/Verified.png\" alt=\"Verified by Visa y Mastercard ID Check\" width=\"101\" height=\"34\" loading=\"lazy\"><p>\u00a9 2026 Gesti\u00f3n de Riesgo RD, SRL. All rights reserved.<\/p><\/div>\n  <nav class=\"cgf-pol\" aria-label=\"Policies\">\n    <a href=\"\/en\/politicasdeprivacidad\/\">Privacy<\/a><a href=\"\/en\/terminos-y-condiciones-2\/\">Terms and Conditions<\/a><a href=\"\/en\/politicas-de-entrega\/\">Delivery<\/a><a href=\"\/en\/politicas-de-cancelacion\/\">Cancellation<\/a><a href=\"\/en\/politicas-de-devolucion\/\">Returns<\/a><a href=\"\/en\/politicas-de-reembolso\/\">Refunds<\/a><a href=\"\/en\/politicas-de-seguridad\/\">Security<\/a><a href=\"\/en\/preguntas-frecuentes\/\">Frequently asked questions<\/a>\n  <\/nav>\n<\/div>\n<\/footer>\n\n<style>#cgr-foot .cgf-ct li a.cgf-wa{display:inline-flex;vertical-align:middle;margin-left:8px}#cgr-foot .cgf-ct li a.cgf-wa svg{width:18px;height:18px;margin:0;fill:#25D366;stroke:none}<\/style><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>The FSI reviews how authorities address data risks in AI (privacy, quality, security and data governance) and proposes that they issue tailored guidance, with more cooperation with data protection authorities.<\/p>","protected":false},"author":1,"featured_media":26350,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":true,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"cgp_org":"Instituto para la Estabilidad Financiera (FSI) del BIS","cgp_siglas":"FSI","cgp_tipo":"Estudio","cgp_fecha":"2026-03-26","cgp_url":"https:\/\/www.bis.org\/publications\/fsi-insight-73-data-we-trust-emerging-policy-and-supervisory-approaches-ai-data-use-financial-services","cgp_pdf":"https:\/\/www.bis.org\/publications\/fsi-insight-73-data-we-trust-emerging-policy-and-supervisory-approaches-ai-data-use-financial-services.pdf","cgp_idioma":"Ingl\u00e9s","cgp_pais":"Internacional","cgp_temas":"Innovaci\u00f3n e inteligencia artificial,Ciberseguridad y tecnolog\u00eda,Normativa y gobierno corporativo,Riesgo de terceros","cgp_portada":"https:\/\/gestionderiesgo.org\/wp-content\/uploads\/2026\/10\/pub-fsi-insights-73-in-data-we-trust-ai-data-use-financial-services.jpg","cgp_verificado":"2026-10-12","cgp_origen":"nueva","cgp_fuente":"Organismo internacional","cgp_paginas":"43","cgp_autores":"Juan Carlos Crisanto, Adrien Currat, Johannes Ehrentraud y Wenguang Wu","cgp_fecha_texto":"","cgp_portada_tipo":"doc","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[74],"tags":[],"class_list":["post-26351","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-publicaciones-del-sector"],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"https:\/\/gestionderiesgo.org\/wp-content\/uploads\/2026\/10\/pub-fsi-insights-73-in-data-we-trust-ai-data-use-financial-services.jpg","_links":{"self":[{"href":"https:\/\/gestionderiesgo.org\/en\/wp-json\/wp\/v2\/posts\/26351","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gestionderiesgo.org\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gestionderiesgo.org\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gestionderiesgo.org\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/gestionderiesgo.org\/en\/wp-json\/wp\/v2\/comments?post=26351"}],"version-history":[{"count":1,"href":"https:\/\/gestionderiesgo.org\/en\/wp-json\/wp\/v2\/posts\/26351\/revisions"}],"predecessor-version":[{"id":26352,"href":"https:\/\/gestionderiesgo.org\/en\/wp-json\/wp\/v2\/posts\/26351\/revisions\/26352"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gestionderiesgo.org\/en\/wp-json\/wp\/v2\/media\/26350"}],"wp:attachment":[{"href":"https:\/\/gestionderiesgo.org\/en\/wp-json\/wp\/v2\/media?parent=26351"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gestionderiesgo.org\/en\/wp-json\/wp\/v2\/categories?post=26351"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gestionderiesgo.org\/en\/wp-json\/wp\/v2\/tags?post=26351"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}