AI Products Detected
Mercury AI
AI Training Opt-Out
No opt-out available
Legal Bases for AI
contract performancelegitimate interestlegal obligationconsent
AI Usage & Disclosure
AI Disclosure

The privacy policy includes a dedicated section titled 'Artificial Intelligence and Machine Learning' which explicitly discusses the use of AI and machine learning technologies.

We use artificial intelligence (“AI”) and machine learning technologies to enhance security, streamline operations, and deliver personalized, efficient services for our customers.

Disclosed
Other

Enhance security

We use artificial intelligence (“AI”) and machine learning technologies to enhance security...

100%
Other

Streamline operations

...streamline operations, and deliver personalized, efficient services for our customers.

100%
Personalization

Deliver personalized, efficient services

...streamline operations, and deliver personalized, efficient services for our customers.

100%
Other

Verifying documents

We may apply these tools to analyze information we collect for purposes such as verifying documents...

100%
Content Processing

Categorizing businesses and transactions

...categorizing businesses, detecting fraud, supporting customer service, evaluating credit applications, categorizing transactions...

100%
Fraud Detection

Detecting fraud

...detecting fraud, supporting customer service, evaluating credit applications...

100%
Other

Supporting customer service

...supporting customer service, evaluating credit applications...

100%
Automated Decision Making

Evaluating credit applications (with human oversight)

...evaluating credit applications, categorizing transactions, and other legitimate functions.

90%
Other

Allow users to analyze their financial data

We offer Mercury AI to allow users to analyze their financial data.

100%
User Impact

AI is used for personalization, content processing (categorizing businesses/transactions), and evaluating credit applications. While credit evaluation is significant, the policy states 'Such decisions always involve appropriate human oversight,' mitigating the risk of fully automated decision-making. The creation of 'inferences' for profiling also contributes to a medium impact.

Medium
AI Training Practices
Training on Personal Data

The policy states that AI and machine learning technologies are used to 'analyze information we collect' for various purposes. Section 2 details that 'Personal Information' is among the information collected. Since machine learning inherently involves training, the analysis of collected personal information by ML technologies implies its use in the ML process, including training.

We use artificial intelligence (“AI”) and machine learning technologies to enhance security, streamline operations, and deliver personalized, efficient services for our customers.

We may apply these tools to analyze information we collect for purposes such as verifying documents, categorizing businesses, detecting fraud, supporting customer service, evaluating credit applications, categorizing transactions, and other legitimate functions.

YES
Training on User Interactions

The policy states that AI tools analyze 'information we collect,' which includes 'Internet or other electronic network activity information' (user interactions). As machine learning requires training, the use of ML technologies to analyze this data implies its use in the ML process, including training.

We use artificial intelligence (“AI”) and machine learning technologies to enhance security, streamline operations, and deliver personalized, efficient services for our customers.

We may apply these tools to analyze information we collect for purposes such as verifying documents, categorizing businesses, detecting fraud, supporting customer service, evaluating credit applications, categorizing transactions, and other legitimate functions.

Internet or other electronic network activity information, such as browser characteristics, device IDs and characteristics, operating system version information, browsing history, cookies, and similar tracking technologies.

YES
Training on Public Content

While the policy mentions collecting information from 'Publicly Available Sources,' it does not explicitly link this specific type of data to AI analysis or training. The AI section refers generally to 'information we collect' without specifying public content as a source for AI processing.

NO
AI Data Sharing

The policy details data disclosure to various third parties and mentions sharing aggregated/anonymized data, but it does not state that personal data is shared with third parties specifically for AI training.

NO
Risk Assessment

Mercury collects a broad range of sensitive personal data, including financial and biometric information, and shares it with 19 third-party partners, some for advertising purposes. While the privacy policy is comprehensive and supports major privacy laws like GDPR and CCPA, the extensive data collection and sharing practices introduce a higher risk of data exposure.

Recommended Actions

Carefully review Mercury's privacy settings within your account to limit data sharing where possible.

Utilize the provided data request form or email help@mercury.com to inquire about your data or request deletion, understanding that exceptions may apply.

Be mindful of the sensitive information you provide, especially financial and biometric data, given its potential for broader sharing.