Facebook Users Gain Control Over Generative AI Data with Meta’s New Feature

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Facebook Users Gain Control Over Generative AI Data with Meta’s New Feature

Facebook has introduced a new feature that allows users to have more control over their personal data used for generative AI models. Meta, a leading player in AI technology, has recently updated its Facebook website to include a consent form that enables users to request the deletion of information sourced from third parties that is used to train generative AI models.

Generative AI has been instrumental in enhancing productivity and saving time for individuals and businesses. However, concerns have been raised about the use of data without consent and the need for transparency. With this new feature, Meta aims to address these concerns by providing users with the ability to manage their personal data used for generative AI.

The updated form, titled Generative AI Data Subject Rights, defines third-party information as data that is publicly available online or licensed from other sources. Such information is often utilized to train generative AI models, which use predictions and patterns to generate new content.

It is important to note that this feature only allows users to delete information from third-party sources that is used for training generative AI models. Users are unable to delete information from Meta-owned properties, including Facebook comments or Instagram photos. This means that Meta can continue to use this first-party data to train its generative AI models.

To exercise control over their data, users can access the newly added opt-out tool. As generative AI technology advances across various industries, companies are developing more sophisticated chatbots and utilizing text to generate complex answers and images. For instance, OpenAI employs its GPT-Bot crawlers to retrieve information from the internet and create new content using existing data such as text, images, and audio. However, concerns regarding data usage without consent have prompted some news publications to block GPT-Bot access to their sites.

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Meta is actively addressing these concerns by providing users with the option to access, modify, or delete personal data obtained from third-party sources that are used to train their language and AI models.

In other news, Meta has recently unveiled Code Llama, an AI model capable of generating and discussing code. Code Llama is built upon Meta’s Llama 2 language model, renowned for its ability to produce realistic and diverse outputs.

With regards to training Llama 2, a Meta spokesperson clarified that the latest iteration of the model was not trained using Meta user data. Furthermore, Meta has not yet launched any Generative AI consumer features on their systems.

The spokesperson also highlighted that depending on individuals’ geographical location, they may be able to exercise their data subject rights and object to specific data being used for training Meta’s AI models, in compliance with data privacy regulations outside of the United States.

Overall, Facebook’s new feature empowers users to take control of their personal data used for generative AI models. By providing transparency and an opt-out tool, Meta is striving to enhance user privacy and address concerns surrounding the usage of data without consent. As generative AI technology continues to evolve, it is crucial for companies to prioritize user data rights and ensure ethical practices in AI development.

Frequently Asked Questions (FAQs) Related to the Above News

What is the new feature introduced by Facebook and Meta?

Facebook has introduced a new feature on its website, developed by Meta, allowing users to have more control over their personal data used for generative AI models.

How does this feature address concerns about data usage without consent?

The feature enables users to request the deletion of third-party information used to train generative AI models. It gives users the ability to manage their personal data used for generative AI and enhances transparency and consent.

What is considered third-party information in this context?

Third-party information refers to data that is publicly available online or licensed from other sources. It is often utilized to train generative AI models, which use predictions and patterns to generate new content.

Can users delete all their personal data used for generative AI models?

No, users can only delete information sourced from third-party sources that is used to train generative AI models. Meta-owned properties, such as Facebook comments or Instagram photos, cannot be deleted.

How can users exercise control over their data?

Users can access the newly added opt-out tool on the Facebook website to request the deletion of their personal data obtained from third-party sources.

How does this feature impact Meta's use of first-party data?

Meta can still use first-party data, such as Facebook comments or Instagram photos, to train its generative AI models. The feature only allows users to delete third-party information used for training.

Are there any restrictions on Meta's use of user data for training AI models?

Depending on the individual's geographical location, they may have the ability to exercise their data subject rights and object to specific data being used for training Meta's AI models, in compliance with data privacy regulations outside of the United States.

What other AI model has Meta recently unveiled?

Meta has recently unveiled Code Llama, an AI model capable of generating and discussing code, built upon Meta's Llama 2 language model.

Was Meta user data used to train the Llama 2 model?

According to a Meta spokesperson, the latest iteration of the Llama 2 model was not trained using Meta user data.

Has Meta launched any Generative AI consumer features on their systems?

No, Meta has not yet launched any Generative AI consumer features on their systems.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

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