About We Own Your Face: Inside the Rise of Facial Recognition
Clearview AI is redefining our privacy. The New York-based tech company is working to identify and compile the faces of every human being on the planet. It claims that the database will serve as a force for good, helping to solve crimes and prevent espionage. But its clients include Middle Eastern dictatorships and its links to the far-right and the source of its funding have raised other concerns. The risks it poses are immense. Clearview AI says it's aiming to collect 100 billion images – that's 14 for every person on the planet. Most of these images are scraped from social media platforms like Instagram, Facebook or LinkedIn without the owner’s knowledge or consent. Already it is the second most accurate face recognition platform in the world. The most accurate one is run by the Chinese Communist Party and used for for real time mass surveillance in order to monitor its population and suppress dissent. To the concern of many, Clearview’s technology has been licensed to the United Arab Emirates, where those who dare criticise the regime end up in
We Own Your Face: Inside the Rise of Facial Recognition is presented by Java Discover | Free Global Documentaries & Clips. Its listed runtime is 59 minutes. The source link and publisher attribution are provided with the embedded film.
As a society documentary, We Own Your Face: Inside the Rise of Facial Recognition uses facial, recognition as its central frame. Social documentaries work best as invitations to examine systems through lived experience. Distinguish individual testimony from wider claims, and consider which institutions, incentives and inequalities shape the choices shown.
What to consider before watching
- What evidence, testimony or observation does the film use to explain facial, recognition?
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Topics covered in this documentary
Documentary details and original source
- Title
- We Own Your Face: Inside the Rise of Facial Recognition
- Category
- Society
- Runtime
- 59 minutes
- Language
- English
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