29 Mar

AI, hailed for its transformative potential in various aspects of life, has generated widespread excitement among consumers and businesses. However, akin to the early days of the internet, users are embracing AI without fully considering the implications for their personal data privacy.

The Top Three Data Privacy Issues Facing AI

 1. Prompts aren’t privateChatGPT and similar tools store previous conversations to enhance user experience and train large language models (LLMs), but this practice poses risks.

If a system is breached, there's a genuine threat of exposing prompts in a public setting.
OpenAI and similar companies are already encountering numerous lawsuits, accused of training their chatbots with copyrighted content.

2. AI models customized by organizations are not inherently private

This leads us to our next point: even though individuals and companies can create their custom LLM models using their data sources, these models won't remain entirely private if they are within a platform like ChatGPT.
There's essentially no certainty regarding whether inputs are utilized solely for training these extensive systems or if personal information might be incorporated into future models.

Similar to assembling a jigsaw puzzle, data points from various sources can be combined to create a comprehensive and potentially invasive understanding of an individual's identity and background.

3. AI systems are trained using private data

There are concerns that well-known AI systems may have learned from examining a large number of online pages.
300 billion words, or 570 gigabytes of data, are thought to have been used to train ChatGPT from novels, Wikipedia entries, and other datasets.
 Online comments and information from social media pages have also been used by algorithms.

March 2024, Cryptoniteuae

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