Companies × risks
Wells Fargo
Wells Fargo deploys AI through its Fargo virtual assistant (built on Google Cloud's Dialogflow conversational AI) and enterprise-wide agentic AI tools (Google Cloud Agentspace). It also holds patents for ML/deep learning fraud detection models trained on financial data.
We reviewed 3 public documents from Wells Fargo and found it acknowledges 4 of 24 AI risks, including discrimination and weapons & cyberattacks.
Sector: Finance and Insurance
Roles: AI deployer
AI risks Wells Fargo acknowledges
- Discrimination: “With limited or untested data, algorithms can learn false assumptions about various demographics, how people speak, or even where they're located.” (How Wells Fargo builds responsible artificial intelligence)
- Weapons & cyberattacks: “information security threats arising from the increased availability and use of AI to conduct attacks that can be difficult to detect” (Wells Fargo 2025 Annual Report)
- Fraud & scams: “attacks that may exploit AI to make fraud detection and authentication more difficult” (Wells Fargo 2025 Annual Report)
- Transparency & interpretability: “the complexity and limited transparency of certain AI models can make it challenging to understand why they are generating particular outputs.” (Wells Fargo 2025 Annual Report)
Documents we reviewed
- How Wells Fargo builds responsible artificial intelligence (AI overview & principles, 2024)
- Artificial Intelligence and You (Other, 2025)
- Wells Fargo 2025 Annual Report (Annual report, 2026)