Prompts: Not So Private
ChatGPT-like tools store past conversations for reference, but this poses risks. If hacked, prompts could be exposed, potentially revealing sensitive or embarrassing information. Samsung banned employees from using AI tools after an incident involving leaked source code.
Custom AI Models: Not Fully Private
Organizations can create custom AI models using their own data, but these models may not be fully private if hosted on platforms like ChatGPT. Data from multiple sources can be combined to create detailed profiles, potentially leading to data breaches or phishing attacks.
Training Data: A Privacy Conundrum
AI systems are trained on vast amounts of data, including web pages, social media posts, and online comments. While some users may expect privacy in these sources, AI tools are heavily influenced by this data. This raises concerns about how user data is gathered, stored, and used, especially in sensitive areas like healthcare.
Moving Forward
AI is rapidly transforming our lives, but privacy concerns must be addressed. Decentralization can help prevent large platforms from controlling data. Encrypted prompts and privacy-preserving LLMs can empower users with control over their data and protect against misuse.
