Generative AI in Finance: IMF Risk Considerations

AIBy: Parsa Aghabarari2 min readSource: IMF, 2023
Generative AI in Finance: IMF Risk Considerations

1Introduction

In an August 2023 fintech note, the IMF says generative AI can raise productivity in customer service, reporting, document analysis and risk management.

2Discussion

It also lists key risks: embedded bias, privacy, limited explainability, plausible but incorrect outputs, and new cyber threats.

3Conclusion

The IMF recommends clear governance and human oversight before broad use, and stronger technical capacity at supervisors to assess these models.

Share:TelegramWhatsAppLinkedIn

Sources

  1. IMF Fintech Note 2023/006 — Generative Artificial Intelligence in Finance: Risk Considerations ↗
همفکران فناوری شریفThis article summarises the official sources cited, prepared by the Hamfekran Fanavari Sharif team for finance leaders.
Want to see these solutions in your organisation?Book a free demo

Related articles

AIAI receipt reading: the end of manual expense entryOCR and machine learning extract receipt data in seconds, removing manual-entry errors.AIData engineering and ETL pipelines: the backbone of analyticsBefore any analysis or AI model, data must be extracted, cleaned and integrated — the job of data engineering.AIResponsible AI: transparency, fairness and accountability in automated decisionsAs more decisions move to algorithms, fairness and transparency matter more.AIPersian natural language processing: opportunities and challenges for AILanguage models now understand and generate Persian text, but Persian’s particular features demand a localised approach.