Meta recently updated its Help Resource Center to add a form that gives users some control over what personal data is used to train generative AI models. But there's a catch: The form doesn't take into account data on Facebook platforms, like Facebook comments or Instagram photos.
The good news? As a Facebook user, you can now delete some personal information that may be used by the company to train generative AI models. Meta updated a section in the Facebook Help Center this week to add a form titled “ Generative AI Data Subject Rights .” This form allows users to submit requests related to third-party use of their data for training generative AI models.
Generative AI technology is gaining momentum in the nigeria number dataset tech industry. Companies are developing more advanced chatbots, using AI text generation tools , and even AI image generators . Meta now offers people the ability to access, modify, or delete their personal data gathered from various third-party data sources that the company uses to train its large language and related AI models.
Why is this important?
The issue of privacy and the use of personal data has become significantly more important in recent years. With the advent of AI and machine learning, data is more valuable than ever as it is used to train models that are deployed in many aspects of our daily lives. While these models provide us with many benefits, there are also legitimate concerns about privacy and the way our data is collected and used.
Meta's move to give users more control over their data is a sign that the company is taking its users' concerns seriously. It is also a response to growing pressure from data protection regulators around the world who are demanding that tech companies be more transparent and give users more control over their data.
How to delete or request AI training data from Meta 1
Meta's new tool: Control over your data in the AI world
Meta has responded to growing privacy concerns by launching a new tool that gives users more control over their personal data, particularly when it comes to training generative AI models.
At a time when data is being called the "new gold," it's essential for developing AI models. These models influence everything from the recommendations you see online to automated decision-making processes across industries, so it's crucial that users know how their data is being used and how they can maintain control over it.