{"id":9349,"date":"2025-07-29T16:17:32","date_gmt":"2025-07-29T14:17:32","guid":{"rendered":"https:\/\/prosteit.pl\/?p=9349"},"modified":"2025-09-03T18:21:56","modified_gmt":"2025-09-03T16:21:56","slug":"is-it-safe-to-use-ai","status":"publish","type":"post","link":"https:\/\/prosteit.pl\/en\/is-it-safe-to-use-ai\/","title":{"rendered":"Is it safe to use AI? Find out what happens to your data."},"content":{"rendered":"
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Have you ever wondered, what happens to the information you enter into ChatGPT or other AI tools<\/strong>Artificial intelligence has become a part of our everyday lives \u2013 it helps us at work, suggests ideas, and can even write texts or analyze data for us. However, behind this convenience lie questions we rarely consider: is it safe to use AI<\/strong>Are our conversations with the model private and the data fully protected?<\/p>

Sam Altman, one of the creators of ChatGPT, openly admitted that he doesn't treat a conversation with AI like a conversation with a lawyer or therapist. This warning shows that even industry leaders emphasize the lack of complete confidentiality in interactions with AI models. Many users, captivated by the technology's capabilities, are unaware that artificial intelligence analyzes and stores huge amounts of data<\/strong>, and some of them can be used for further model training.<\/p>

In this article we will take a closer look AI security<\/a><\/strong> and what the privacy issue really looks like. We'll discuss the most important threats to users<\/strong>, we will explain, what are the risks associated with data transfer?<\/strong>, and we will also advise you, how to use AI safely<\/strong>to protect your information. This will be a practical guide for anyone who wants to use this technology consciously \u2013 reliably and to the point.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Privacy and data security in the context of AI<\/span><\/h2>

When talking about artificial intelligence, the terms are often used interchangeably. privacy<\/strong> and data security<\/strong>Although closely related, they represent different aspects of information protection. Privacy<\/strong> refers to the user's right to decide what data about themselves they share and for what purpose it can be used. Data security<\/strong> these are technical and organizational measures intended to protect this data against unauthorized access, loss or leakage.<\/p>

In the case of AI tools, both of these issues become particularly important. Models such as ChatGPT and other AI-based systems they process huge amounts of text data<\/strong>, often coming from public internet sources, but also from user-entered content. Although AI providers declare they use security and anonymization, it is worth remembering that information sent to the model can be used to further improve it<\/strong>.<\/p>

This raises questions about the risk of using AI in the context of sensitive data<\/strong> \u2013 for example, financial, medical, or legal information. Unlike a conversation with a lawyer or doctor, interaction with an AI model is not covered by professional secrecy. This means that when providing the tool with specific data, the user should consciously assess whether they are prepared for this information to be processed to some extent or stored in system logs.<\/p>

Discussion about privacy and artificial intelligence<\/strong> is becoming increasingly important as technology develops. AI is entering new areas of life \u2013 from education, through business, to medicine. Therefore, it is necessary to distinguish between what data we want<\/strong> reveal to AI models and how effectively they are protected<\/strong> by service providers.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Main risks and pitfalls when using AI<\/span><\/h2>

While artificial intelligence tools offer enormous potential, their use poses significant risks to privacy, security, and information integrity. Understanding these risks is crucial to use consciously<\/a> from technology and avoid reckless actions.<\/p>

Conversations with AI as entrusting confidential information<\/span><\/h3>

One of the most common user mistakes is treating AI like a trusted advisor\u2014a lawyer, accountant, or psychologist. Many people include AI in models like ChatGPT sensitive personal data<\/strong>, information about problems at the company, and even contract numbers and salary amounts. Meanwhile, Sam Altman, director of OpenAI, clearly emphasized that talking to AI is not covered by professional secrecy<\/strong>.<\/p>

If a user provides confidential data in chat, it may be recorded in system logs or used to improve model quality. Although providers claim to anonymize and filter data, there is still a risk of accidental disclosure. An example is an incident in 2023 when, due to a bug in the ChatGPT system, some users had temporary access to other users' chat histories.<\/p>

Leaks and improper processing of personal data<\/span><\/h3>

AI models are trained on massive datasets, which may also contain personal information. There is a risk of so-called model inversion attack<\/strong> \u2013 an attack that involves "recreating" portions of training data based on the model's performance. This means that under certain conditions, the AI could inadvertently reveal the information it was trained on.<\/p>

In 2024, researchers from Google and OpenAI highlighted the possibility of AI models extracting information from seemingly forgotten training data. Such security flaws raise questions about compliance with GDPR regulations, which require full control over personal data.<\/p>

Incorrect or biased answers<\/span><\/h3>

Artificial intelligence is not infallible. Models can generate answers incorrect, outdated or biased<\/strong> \u2013 especially in political, social, and legal topics. This stems from the fact that AI relies on patterns in data, not on "understanding" the topic.<\/p>

For example, a chatbot provided a user with incorrect medical information, suggesting incorrect medication dosages. Such cases have already been reported and have prompted warnings from experts not to rely on AI as a source of reliable and definitive advice on health or legal matters.<\/p>

Manipulations and attacks on models<\/span><\/h3>

AI systems can be vulnerable to various types of attacks, including:<\/p>