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Meta to Pay $1.4 Billion in Landmark Texas Facial Recognition Settlement

 Meta to Pay $1.4 Billion in Landmark Texas Facial Recognition Settlement

Meta Platforms, the parent company of Facebook, has agreed to a $1.4 billion settlement with Texas to resolve a lawsuit accusing it of unlawfully using facial-recognition technology to collect biometric data from millions of Texans without consent. This is the largest settlement of its kind by a single state.

The 2022 lawsuit was the first major case under Texas’ 2009 biometric privacy law, which allows for damages of up to $25,000 per violation. Texas accused Facebook of capturing biometric information through the now-discontinued “Tag Suggestions” feature. Meta denied wrongdoing but expressed satisfaction with the resolution and future business prospects in Texas.

Texas Attorney General Ken Paxton highlighted the state’s commitment to holding tech companies accountable for privacy violations, underscoring Texas’ dedication to protecting residents’ privacy rights.

Alphabet’s Google also faces a lawsuit in Texas for allegedly violating the state’s biometric privacy laws. These legal challenges highlight increasing scrutiny on how tech giants handle sensitive user data and the significant financial repercussions for non-compliance.

As part of the settlement, Meta has committed to enhancing its privacy practices and ensuring compliance with biometric privacy regulations. This move aims to rebuild trust with users and regulators, potentially signaling a broader shift towards greater accountability in the tech industry regarding data privacy.

The Texas settlement is a landmark case that may influence future legal actions and settlements involving biometric data privacy. It serves as a reminder to tech companies about the importance of obtaining user consent and adhering to privacy laws.

In summary, the $1.4 billion settlement between Meta and Texas underscores the need for robust legal frameworks and the importance of compliance by tech companies to ensure the privacy and security of user data.

Harshit Sinha

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