What data did Meta AI use for training its virtual assistant?

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Meta AI Utilised Public Social Media Content for Virtual Assistant Training

Meta AI employed publicly available posts from Facebook and Instagram to train its new virtual assistant, Meta AI. The company explicitly excluded private posts shared within smaller, closed groups of family and friends, and did not incorporate data from private chats on its messaging platforms. Meta has stated that it implemented measures to filter out private details from the public datasets that were used for the training process.
Publicly Accessible Information Was the Primary Data Source

The overwhelming majority of the data utilised by Meta for the training of its AI model consisted of content that was already publicly accessible. This approach was deliberate, with the company opting against using content from platforms like LinkedIn due to existing privacy considerations. The public posts from Facebook and Instagram that formed the training data included both textual content and photographic images.
Exclusion of Private Communications and Sensitive Datasets

Meta's strategy for data acquisition deliberately bypassed private user communications. This included content shared exclusively with select circles of friends and family on its social media platforms, as well as private conversations conducted through its messaging services. The company indicated that it actively sought to exclude datasets that contained a significant proportion of personal information.
Implementation of Safety Restrictions on Content Generation

Beyond the data used for training, Meta also introduced safety protocols for the virtual assistant's output. These restrictions include a prohibition on generating photo-realistic images of public figures. Such measures are in place to govern the kind of content the AI can produce, aiming to mitigate potential misuse or privacy infringements.

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What data did Meta AI use for training its virtual assistant?

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