The model has been trained on over 11 million images and is currently available for the research community under a permissive open license, Apache 2.0, on GitHub. Meta stated that the model shows impressive capabilities to handle different types of images, such as ego-centric images, microscopy, or underwater photos, thanks to the scale of data and generality in training.
However, concerns about privacy and the use of personal data in AI technology have been raised. Privacy laws require transparent data collection with individual consent, and companies should avoid sharing facial data with third parties without consent. Companies should prioritize privacy and transparency when developing and implementing AI technology, and users should be informed of their rights and given options to opt out of future training models.
Obtaining large-scale training data from social media networks raises concerns about privacy, and companies have employed privacy-preserving techniques that allow users to report offensive content to ensure the responsible use of data.
Meta's shift from metaverse ambitions to focus on AI has raised eyebrows, and global leaders have expressed concerns and initiated investigations into the technology's implications for user privacy and safety. It is crucial for companies to build trust with users by being transparent about data usage, protecting privacy, and ensuring ethical and responsible use of AI technology.
Companies should include machine learning clauses to inform users and allow them to opt out of future training models, and take steps to remove offensive content from datasets. By prioritizing privacy and transparency, companies can ensure the ethical and responsible use of AI technology.
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