Topic · Credit, fraud, advisory, and AI-driven trading
AI in Financial Services
AI in financial services rules cover credit decisioning, fraud detection, AI-driven advisory, algorithmic trading oversight, and customer-AI disclosure. AIGI tracks every primary-source finance-AI rule globally. As of the most recent update, AIGI tracks 171 primary-source items on ai in financial services across global jurisdictions.
Coverage at a glance
- Items tracked
- 171
- Jurisdictions
- 7
- Last update
- 4/17/2026
Most active jurisdictions
Recent ai in financial services activity
- NC agency report 4/17/2026
[North Carolina AG] Attorney General Jeff Jackson Warns North Carolinians of Investment Scams on Meta Platforms
NC AG warns of AI-powered investment scams on Meta platforms using deepfakes for 'pump and dump' and confidence schemes.
Authority: North Carolina Attorney General
- NJ legislation committee 9/26/2024
[NJ Legislature] S3657 (2024-2025): Makes use of algorithmic systems to influence price and supply of residential rental units unlawful.
New Jersey Bill S3657 proposes to make the use of algorithmic systems to influence the price and supply of residential rental units unlawful.
Authority: New Jersey Legislature
- NY legislation committee 1/22/2025
[NY Legislature] S2697 (2025-2026): Prohibits the use of an algorithmic device by a landlord for the purpose of determining the amount of rent to charge a residential tenant
New York bill S2697 prohibits landlords from using algorithmic devices to determine residential rent, classifying such use as an unfair or deceptive trade practice.
Authority: New York Legislature
- FR guidance effective 5/7/2026
[CNIL] Octroi de crédit : la CNIL publie sa recommandation sur l’utilisation de données personnelles pour l’évaluation de la solvabilité
The CNIL published recommendations on using personal data for creditworthiness assessment, strengthening transparency and control, especially for automated decisions involving AI.
Authority: CNIL
- FR guidance effective 5/7/2026
[CNIL] Octroi de crédit : la CNIL publie sa recommandation sur l’utilisation de données personnelles pour l’évaluation de la solvabilité
The CNIL publishes recommendations on solvency assessment for credit granting, enhancing transparency and control over automated decisions.
Authority: CNIL
- NC press release advisory 4/17/2026
[North Carolina AG] Attorney General Jeff Jackson Warns North Carolinians of Investment Scams on Meta Platforms
North Carolina Attorney General Jeff Jackson warns residents about deepfake investment scams proliferating on Meta Platforms like Facebook, Instagram, and WhatsApp.
Authority: North Carolina Attorney General
- NC news analysis 4/17/2026
[North Carolina AG] Attorney General Jeff Jackson Warns North Carolinians of Investment Scams on Meta Platforms
North Carolina Attorney General Jeff Jackson warns residents of investment scams utilizing deepfake technology on Meta platforms like Facebook, Instagram, and WhatsApp.
Authority: North Carolina Attorney General
- GB policy paper effective 4/1/2026
[Bank of England] The Bank and the PRA’s response to HMT, DSIT and DBT on AI in financial services
The Bank of England and PRA published their response to the UK government's inquiry on AI-driven innovation in financial services on April 1, 2026.
Authority: Bank of England
- US rulemaking notice effective 5/12/2026
[SEC] Self-Regulatory Organizations; Cboe BYX Exchange, Inc.; Notice of Filing and Immediate Effectiveness of a Proposed Rule Change To Establish Fees for Industry Me
The SEC announced a proposed rule change by Cboe BYX Exchange, Inc. to establish fees for industry members to cover Consolidated Audit Trail (CAT) costs from May 1, 2026, through December 31, 2026, which includes cloud hosting services for data management and analytic tools.
Authority: Securities and Exchange Commission
- FR guidance effective 5/7/2026
[CNIL] Octroi de crédit : la CNIL publie sa recommandation sur l’utilisation de données personnelles pour l’évaluation de la solvabilité
The CNIL has published recommendations on the use of personal data for credit solvency assessment, reinforcing transparency, data minimization, and human control over automated decisions, particularly in light of recent CJUE rulings.
Authority: CNIL
- NC agency report advisory 4/17/2026
[North Carolina AG] Attorney General Jeff Jackson Warns North Carolinians of Investment Scams on Meta Platforms
North Carolina Attorney General Jeff Jackson warns residents about investment scams on Meta platforms using deepfake technology.
Authority: North Carolina Attorney General
- NC agency report effective 4/17/2026
[North Carolina AG] Attorney General Jeff Jackson Warns North Carolinians of Investment Scams on Meta Platforms
North Carolina Attorney General Jeff Jackson warns citizens about investment scams on Meta platforms using deepfake technology to lure investors into schemes like pump and dumps.
Authority: North Carolina Attorney General
+ 159 more items in the full archive — start trial for full access.
Frequently asked questions
- What is AI in Financial Services?
- AI in financial services rules cover credit decisioning, fraud detection, AI-driven advisory, algorithmic trading oversight, and customer-AI disclosure. AIGI tracks every primary-source finance-AI rule globally.
- How many ai in financial services laws does AIGI track?
- AIGI currently tracks 171 primary-source items under ai in financial services — spanning bills, regulations, enforcement actions, court opinions, and agency guidance from authorities across global jurisdictions.
- Which jurisdictions are most active on ai in financial services?
- Most active jurisdictions on ai in financial services in the current corpus: US (19), NC (16), GB (7), FR (4), CT (2).
- How current is AIGI's ai in financial services coverage?
- The most recent ai in financial services item AIGI tracked was published on 4/17/2026. AIGI runs continuous ingestion against every active authority source.
- Where do AIGI's ai in financial services citations come from?
- Every item on this page links to its primary government or research source. AIGI's citation methodology is documented at /how-we-cite — we do not paraphrase or remix secondary commentary; we resolve every pointer to the underlying authority.
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