Claim · 2023-08-22 · publication · Stated in source · Supported

In IMF FinTech Note 2023/006 of 22 August 2023, Ghiath Shabsigh and El Bachir Boukherouaa write that generative AI could be exploited for more sophisticated phishing and impersonation, which could increase identity theft or fraud, and that deepfakes could inflict serious damage on organisations and individuals.

One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.

What it connects

Generative Artificial Intelligence in Finance: Risk Considerations → articulates → AI increases cyber, fraud and operational risks in finance

Where it appears

AI and money: what central banks and financial authorities have said, 1997–2026 →

Claim and evidence

Generative Artificial Intelligence in Finance: Risk Considerationsarticulates ↓AI increases cyber, fraud and operational risks in finance

Machine-checkedStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2023-08-22 · publication Records dated 2023 →
Role: Articulation
Register (kind of text): Nonfiction

Scope and limitsA statement of what the text says, not evidence that the risk has materialised or that any authority has adopted a policy. A staff note attributed to its authors.

The evidence 02

primary sourceSupports the claim

Generative Artificial Intelligence in Finance: Risk Considerations

International Monetary Fund · 2023-08-22

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Source excerpt

“This emerging technology could be exploited to generate more sophisticated phishing messages and emails or to present opportunities for malicious actors to impersonate individuals or organizations, leading to increased identity theft or fraud.”

Location in source Section “Cybersecurity” (HTML)

How it was read Retrieved directly from the publisher

Machine-checked · 2026-11-06

Source details and check notes

Authors: Ghiath Shabsigh; El Bachir Boukherouaa
Version: Retrieved for the candidate pack on 2026-11-02 (SHA-256 f8bc7aa74df6a28a3504749639785fdbf77e8ab3382bc62eee1710207758bf40). Retrieved again at admission on 2026-11-06 (SHA-256 4d8b1cc3c69f71656d50f409ef54dc2344b10d71f732961919d1ed55bae12ec0; web pages are served with new markup on each request). IMF eLibrary HTML full text of FinTech Note No. 2023/006 as served on 2026-11-02
Canonical address: Open the canonical source ↗
Accessed: 2026-11-06
Language: English (en)
Attribution: Ghiath Shabsigh, El Bachir Boukherouaa, “Generative Artificial Intelligence in Finance: Risk Considerations”, 2023-08-22.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, AI and money (research/ai-money). The quotation (33 words) matched a fresh retrieval of 2026-11-06. Matching ignored differences of whitespace, case, quotation marks, dashes, line-break hyphens and Unicode compatibility forms. No human editorial review.

primary sourceSupports the claim

Generative Artificial Intelligence in Finance: Risk Considerations

International Monetary Fund · 2023-08-22

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Source excerpt

“The proliferation of deepfakes, resulting in more realistic videos, audios, or images, could inflict serious damage on both organizations and individuals.”

Location in source Section “Cybersecurity” (HTML)

How it was read Retrieved directly from the publisher

Machine-checked · 2026-11-06

Source details and check notes

Authors: Ghiath Shabsigh; El Bachir Boukherouaa
Version: Retrieved for the candidate pack on 2026-11-02 (SHA-256 f8bc7aa74df6a28a3504749639785fdbf77e8ab3382bc62eee1710207758bf40). Retrieved again at admission on 2026-11-06 (SHA-256 4d8b1cc3c69f71656d50f409ef54dc2344b10d71f732961919d1ed55bae12ec0; web pages are served with new markup on each request). IMF eLibrary HTML full text of FinTech Note No. 2023/006 as served on 2026-11-02
Canonical address: Open the canonical source ↗
Accessed: 2026-11-06
Language: English (en)
Attribution: Ghiath Shabsigh, El Bachir Boukherouaa, “Generative Artificial Intelligence in Finance: Risk Considerations”, 2023-08-22.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, AI and money (research/ai-money). The quotation (21 words) matched a fresh retrieval of 2026-11-06. Matching ignored differences of whitespace, case, quotation marks, dashes, line-break hyphens and Unicode compatibility forms. No human editorial review.

Status and meaning

Editorial status. Machine-checked. Machines found this record and checked it against its sources; no person accepted it individually. Each evidence record above shows how it was checked.

Relation. A passage of the document meets the proposition’s criterion. The record documents what the text states, in its register (fiction and satire are labelled); it is not evidence that the proposition is true and implies no influence on or from another text.

Date. Date of publication, as the text gives it.

Record ID am-u03-imf-2023-ftn-genai