Most generative AI companies use client data to train their chatbots. For this, they may use private or public data. Some services take a more flexible and non-intrusive approach to gathering customer data. Not so much for others. A recent analysis from data removal firm Incogni weighs the benefits and drawbacks of AI in terms of protecting your personal data and privacy.
As part of its “Gen AI and LLM Data Privacy Ranking 2025,” Incogni analysed nine well-known generative AI services and evaluated their data privacy policies using 11 distinct factors. The following queries were addressed by the criteria:
- What kind of data do the models get trained on?
- Is it possible to train the models using user conversations?
- Can non-service providers or other appropriate entities receive prompts?
- Can the private data from users be erased from the training dataset?
- How clear is it when training is done via prompts?
- How simple is it to locate details about the training process of models?&
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