AI Data Security and Privacy at ATLAS.ti

We are using OpenAI’s GPT models through an API to deliver better results to our customers if and insofar our customers are choosing to leverage OpenAI-powered features like AI Coding, AI Summaries, or AI Code Suggestions.

No, we will only employ specific AI features upon your request through an opt-in or other sign-up process. Additional fees might apply.

The AI will process all data that is fed into it in order to run an analysis. We have concluded a Data Processing Agreement, including the Standard Contractual Clauses (SCC) with OpenAI, that ensures the safety of your personal data.

We have concluded a Data Processing Agreement including the Standard Contractual Clauses (SCC) with OpenAI that ensures the safety of your personal data. Only the personal data you choose to enter into our software will be analyzed by the AI. Your personal data will not be used to improve the Machine Learning (ML) analysis.

OpenAI does not use data submitted to and generated by our API to train OpenAI models or improve OpenAI’s service offering.

OpenAI will not use data submitted by customers via our API to train or improve our models, unless you explicitly decide to share your data with us for this purpose.

The AI-driven analysis is processed on OpenAI systems and our trusted service providers’ systems worldwide. Our AI Regions feature allows you to choose where your data is processed for AI-powered features. You can easily select your preferred region: 
the United States or Europe.


We may also send select portions of content to third-party contractors (subject to confidentiality and security obligations) for data annotation and safety purposes.

A limited number of authorized OpenAI personnel, as well as specialized third-party contractors that are subject to confidentiality and security obligations, may view and access user content only as needed for these reasons: (1) investigating abuse or a security incident; (2) to provide support to you if you reach out to us with questions about your account; (3) to comply with legal obligations; or (4) when we fine tune our models using user-submitted data (unless you have opted out), we also use PII filtering techniques to reduce the amount of personal data used. Access to content is subject to technical access controls and limited only to authorized personnel on a need-to-know basis. Additionally, we monitor and log all access to user content and authorized personnel must undergo security and privacy training prior to accessing any user content.

No. ATLAS.ti is working with OpenAI directly through an interface, and our customers are not using the web interface of the ChatGPT tool. However, the software and model behind the embedded OpenAI software and their ChatGPT tool are similar.

AI uses various techniques that allow machines to be artificially intelligent. Machine learning is a subset of AI, and deep learning is a subset of machine learning.
Machine learning refers to a machine’s ability to think without being externally programmed. While devices have traditionally been programmed with a set of rules for how to act, machine learning enables devices to learn directly from the data itself and become more intelligent over time as more data is collected.
Deep learning is a machine learning technique that uses multiple neural network layers to extract progressively higher-level features from the raw input data. For example, in image processing, lower layers of the neural network may identify edges, while higher layers may identify the concepts relevant to a human, such as letters or faces.