November 1, 2018
Exposing.ai project
EXPOSING.ai # Exposing.ai is a research project about the origins and endpoints of biometric image datasets created “in the wild”. The project investigates how photos have unwittingly become part of an information supply chain powering the global biometrics industry.
Research from the Exposing.ai project hsa been featured in the Financial Times, New York Times, Nature, a US Government Accountability Report, the 2020 AI Index, several academic research papers, and has helped pushed forward an urgent discussion about the ethics of dataset collection into public discourse.
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November 1, 2018
Face redaction demo with the DFACE app. Detection made using 1.18sm model.
DFACE.app # Automatic, private, open-source face redaction web app: try it here DFACE.app
DFACE uses the YOLOV5 neural network object detection framework to run face detection in a web browser so photos never leave a user’s device. It can process up to 1,000 faces per image at down to 10x10 pixels per face with varying effects (color fill, blur, or emoji), and supports batch-processing multiple images.
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April 1, 2016
TODAY’S SELFIE IS TOMORROWS BIOMETRIC PROFILE. Think Privacy. Photo: V&A Instagram
Think Privacy # Part provocation, part education, Think Privacy is an ongoing campaign to raise awareness about emerging issues in an era of exuberant data collection.
The Think Privacy project officially launched at the New Museum Store in March 2016 in New York City. Several items from this collection are still available at the New Museum Store.
The following year in London the Victoria and Albert Museum commissioned a custom Think Privacy sign for their entrance during the Friday Late event (pictured above).
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