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What is the invisible cost of AI technology? Experts express their worries about privacy breaches.
AI-powered technology is constantly growing, and with it grows the amount of personal information collected and processed. But how do AI-powered apps impact user privacy?
Apps like ChatGPT, LLaMA, and PaLM2 use large language models (LLM), which need to collect massive amounts of data to train their algorithms- the more data they collect, the more natural the responses.
In addition to using content found online, AI tools record and use prompts inserted by their users, which sometimes contain sensitive personal and work information that may be exposed to the AI tool itself or other parties with access to the data.
According to Cybernews, OpenAI is facing a lawsuit for allegedly using a massive amount of internet data that includes personal, financial, and health information from various social media platforms to train ChatGPT.
The allegations also claim that OpenAI records users’ digital fingerprints when registering a ChatGPT account, which contain information like their IP address, Web browser-installed add-ons, Time zone, Operating system type and version, and Computing device hardware profile. This enables the identification of a user device among millions of connected devices.
But perhaps most problematic, ChatGPT apparently records users’ chat logs, even after a user selects “disable History”, which may contain private or sensitive information.
Unfortunately, even those who use applications that integrate ChatGPT like Slack or MS Office will be exposed to privacy risks.
Whether we like it or not, businesses everywhere are hurrying to join the artificial intelligence craze, and the integration of AI into social media and other productivity apps is sure to become a reality very soon. As users of such applications, it is critical to understand what the associated privacy implications are and know to avoid sharing sensitive private or work information.
Information provided by Cybernews.