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3DiVi Inc., founded in 2011, is one of the leading developers of AI and machine learning (ML) technologies for computer vision.
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Facial Recognition Firm Fined £7.5M: A Call for Digital Ethics in Policing

Recently, Clearview AI, a facial recognition company utilized by British police, was fined over £7.5 million by the UK's Information Commissioner’s Office (ICO). This fine was imposed for creating an unlawful database containing 20 billion images, sourced without public consent from social media and the internet.
This event is a stark reminder of the delicate balance between technological advancement and ethical considerations in surveillance. Clearview AI's app, used by various UK police forces, allowed officers to upload photographs and search for matches in this extensive database. This practice raises critical questions about privacy, consent, and the extent to which public surveillance should be permitted.
The ICO's actions, including an enforcement notice directing Clearview AI to cease processing UK residents' data and delete existing records, underscore the need for stringent data protection laws. This decision followed a joint investigation with the Australian information commissioner, reflecting a growing global concern over privacy violations.
Clearview AI's response, defending their technology and intentions, particularly their role in solving crimes, presents the other side of this complex issue. The company's CEO, Hoan Ton-That, expressed disappointment over the ICO's decision, emphasizing their focus on public safety and the use of publicly available data.
This scenario opens up a broader dialogue about the ethics of facial recognition technology, especially in law enforcement. As we advance technologically, it becomes increasingly imperative to ensure that these advancements do not compromise fundamental human rights and privacy standards.
This incident with Clearview AI serves as a critical case study for tech companies, law enforcement agencies, and policymakers worldwide. It highlights the urgent need to develop a balanced approach that harnesses the benefits of facial recognition technology while safeguarding individual privacy and upholding ethical standards.
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