Blog: AI

Artificial intelligence is doing wonders for the world around us. Unfortunately, it’s also changing the way we do a lot of things, including how we secure customer data and personal information. While AI has enhanced data management to a certain degree, it has also created its own concerns for data security, as highlighted in the saga of ChatGPT.

OpenAI has an entire page dedicated to API data privacy, wherein they promise that protecting valuable user data is “fundamental to our mission. We do not train our models on inputs and outputs through our API.” However, that doesn’t mean that all the risks of privacy and other concerns magically disappear just because they’re acknowledged. In fact, that makes it even more important for you to understand what risks are present with the GPT-4 API and OpenAI updates that are being made as a result.

As AI increasingly becomes a standard part of business, the way that these machine learning models are trained is coming into question. Data privacy is the primary concern, as users essentially have the capability to input any information they like into an AI tool and have it generate a result. Even OpenAI, the brains behind ChatGPT, acknowledges these limitations and concerns and is working to resolve them.

The release of ChatGPT in late 2022 created an explosion around the world of AI that was soon followed by another blow: potential concerns surrounding data privacy. Although the initial breach was minor in nature, it pointed out how quickly data privacy can be brought into question with the implementation of artificial intelligence and machine learning.

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