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Data Privacy & Generative AI in Market Research

Lindsay • 5 Apr 2024

In the digital age, data privacy and security are paramount, especially when utilizing powerful generative AI tools, like our research consultant Ada. 

Today we’ll explain the mechanisms that ensure your data remains private and secure while you benefit from Ada’s robust analytical capabilities: 


Ada's Foundations of Privacy and Security

Ada prioritizes data security when utilizing OpenAI's API for her work.  OpenAI's API provides a secure and privacy-focused solution, as it does not use customer data to train its models or retain any data within OpenAI's systems. 

This means that the sensitive information Ada works with remains confidential and is not incorporated into OpenAI's models or stored on their servers. Additionally, Ada cannot connect to the internet while working with the API, adding an additional layer of privacy. 


A Strong Privacy Framework

Ada’s design incorporates rigorous standards for data protection. Here are the steps we take to ensure your information is secure:

Type=Default, Size=sm, Color=SuccessData Anonymization

Ada anonymizes your data to eliminate personal identifiers, upholding anonymity.

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Secure Data Transmission

We use encryption to protect your data as it travels to and from Ada's processing environment.

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No Persistent Storage

Ada processes data in real-time and doesn’t store any information post-analysis, adhering to a strict policy of data transience.

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Continuous Security Checks

Our systems undergo frequent security assessments to preempt and prevent any potential data breaches.


The Role of GPT in Ensuring Privacy

GPT, the technology behind Ada, is designed to process data without retaining it, respecting user privacy at every turn:

Pre-Trained Model

GPT-3.5 Turbo and GPT-4 have been pre-trained on a vast corpus of data, enabling it to generate insights without the need to learn from your data.

Independent Processing

Each user query is processed independently, safeguarding against the risk of data overlap or persistence.


User-Centric Security Practices

While Ada employs robust security measures, users also play a crucial role:

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Sensitive Data Redaction

Always redact any personal or sensitive information from your data before consulting Ada.


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Understand Data Permissions

Be clear on your organization's data sharing settings and adjust them as necessary to maintain control over your data.

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Stay Informed

Regularly review OpenAI's privacy policy to stay updated on the privacy measures and how your data is handled.


Trusting Ada with Your Data

When using Ada for market research, you can trust that your data is handled with the utmost care. Privacy and security are not just complementary features—they are the bedrock upon which Ada operates.

With Ada, your insights are generated with a commitment to safeguarding your data, every step of the way.




Lindsay Richmam is a Product Manager at SightX with a strong foothold in the realms of machine learning and artificial intelligence. Her innovative approaches in AI and data visualization are setting new benchmarks in the industry.

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