Company AI Risk Explorer
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Welcome to the Company AI Risk Explorer

This tool maps what large global companies say in public about AI risk. We reviewed public documents from roughly 200 of the world's largest companies. We coded every risk they acknowledge against the AI Risk Repository taxonomy.

Filter by company, sector, AI role, or risk. Compare what companies acknowledge against expert ratings of severity, sector vulnerability, and role responsibility.

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Companies × risks

Commonwealth Bank of Australia

CBA applies AI across fraud and scam detection, customer-facing services and internal operations, screening 80 million events per day on average and more than 20 million payments a day. It also builds models in-house, including a technology-facilitated abuse detection model released to other banks via H2O.ai, a Card Not Present fraud model, and NameCheck, which it supplies to external organisations by API.

We reviewed 9 public documents from Commonwealth Bank of Australia and found it acknowledges 7 of 24 AI risks, including fraud & scams and environmental harm.

Sector: Finance and Insurance

Roles: AI deployer; Specialized AI developer

AI risks Commonwealth Bank of Australia acknowledges

  • Fraud & scams: “Investment scams - deepfake celebrities and experts with 'don't-miss- out' success stories. Deepfake videos imitate well-known people to promote fake investments.” (How good are Australians at spotting an AI-powered deepfake scam?)
  • Environmental harm: “As digitisation accelerates, the demand for electricity will continue to grow. It is important to recognise and address the environmental impacts of AI, particularly related to energy and water use.” (2025 Annual Report - CommBank)
  • Discrimination: “it also introduced bias LLMs often fixated on negative traits when presented with fuller personas, assuming financial struggles... LLMs stereotype populations” (Artificial intelligence)
  • Weapons & cyberattacks: “The Bank anticipates cyber attacks to persist and grow as adversaries use new technologies such as GenAI to exploit vulnerabilities, including third parties and cloud environments. These could lead to compromised customer data, critical systems disruptions and potential breaches of our obligations.” (2025 Annual Report - CommBank)
  • Inequality & unemployment: “With the shift to digital, stakeholders expect us to consider potential adverse impacts, such as ... job losses on our people, customers and the broader community.” (2025 Annual Report - CommBank)
  • AI security vulnerabilities: “CBA has implemented 11 guardrails to protect its models from risks related to malicious inputs” (Customer safety, convenience and recognition boosted by early ...)
  • False information: “LLMs do not always guarantee accurate or factually correct answers... which means they can potentially generate inaccurate statements... may potentially be inaccurate or contains hallucinated information.” (Our Approach to Adopting AI)

Documents we reviewed