Photo by Jonathan Kemper / Unsplash

A Guide to Data Privacy When Using Large Language Model-Powered Solutions

Legal Solutions Mar 20, 2023

Many founders and managers are leveraging Language Model Models (LLMs) like ChatGPT to streamline operations, automate tasks, and enhance user experiences. However, as the adoption of these solutions grows, so does the need for understanding the implications, especially concerning data privacy.

This blog post aims to shed light on the considerations founders, managers, and investors should make when incorporating LLM-powered solutions into their operations.

The Importance of Data Privacy

Data privacy is not just a regulatory requirement but also a critical aspect of building trust with stakeholders. Startups and SMEs often handle sensitive information, ranging from customer details to proprietary business data. Therefore, ensuring the confidentiality and security of this data is paramount. When integrating LLM-powered solutions into your operations, understanding how these platforms handle data is crucial.

Evaluating Apps Built on LLMs

As the demand for LLM-powered applications grows, so does the marketplace. Numerous apps built on top of open-source LLMs are available, each offering unique features and functionalities. However, not all apps prioritize data privacy. When selecting an app to integrate in your startup or SME, consider the following:

Privacy Policy

A clear indicator of an app's commitment to data privacy is the presence of a comprehensive privacy policy. Unfortunately, many apps, especially those developed hastily, either lack a privacy policy or have one that is auto-generated. Such policies often fail to provide meaningful insights into how the app handles user data. Therefore, prioritize using apps that have well-defined privacy policies, detailing the data collection, storage, and usage practices.

Transparency and Accountability

In addition to a privacy policy, look for apps that demonstrate transparency and accountability in their operations. This includes providing users with options to control their data, implementing robust security measures, and adhering to relevant data protection regulations. Furthermore, consider apps that undergo regular third-party audits to validate their data privacy practices.

Ensure that the app prioritizes user consent and offers mechanisms for users to control their data. This includes clear opt-in/opt-out options, the ability to modify or delete data, and transparent notifications regarding data breaches or policy changes. By empowering users to make informed decisions about their data, apps can build trust and foster long-term relationships.