Doc Searls, Katherine Druckman, and Kyle Rankin talk about facial recognition and surveillance technology in the hands of individuals, and how that affects the balance of power.

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Special Guest: Kyle Rankin.

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Links:

• Activists Turn Facial Recognition Tools Against the Police - The New York Times — These activists say it has become relatively easy to build facial recognition tools thanks to off-the-shelf image recognition software that has been made available in recent years. In Portland, Mr. Howell used a Google-provided platform, TensorFlow, which helps people build machine-learning models.
• Fawkes — The SAND Lab at University of Chicago has developed Fawkes1, an algorithm and software tool (running locally on your computer) that gives individuals the ability to limit how unknown third parties can track them by building facial recognition models out of their publicly available photos.
• Mass Extraction - Upturn — To search phones, law enforcement agencies use mobile device forensic tools (MDFTs), a powerful technology that allows police to extract a full copy of data from a cellphone — all emails, texts, photos, location, app data, and more — which can then be programmatically searched. As one expert puts it, with the amount of sensitive information stored on smartphones today, the tools provide a “window into the soul.”
• Doc Searls Weblog · About face — We know more than we can tell.