Miscellaneous

How to fool Facial Recognition with cunning & crochet.

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The paper "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression" is available here:

"Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

by Aaron S. Jackson, Adrian Bulat, Vasileios Argyriou and Georgios Tzimiropoulos

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Panasonic Corporation announced that it will release face recognition server software using deep learning technology in July 2018 outside Japan and in August 2018 in Japan.
Featuring a core engine that boasts the world's highest face recognition performance, this high-precision face recognition software can identify faces that are difficult to recognize with conventional technologies, including faces at an angle of up to 45 degrees to the left or right or 30 degrees up or down, and those partially hidden by sunglasses

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The emerging tech of facial recognition is both awesome and scary. We take a look at how it works, where you'll find it and what it means.

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The accuracy rate of facial recognition depends on the data its fed. With enough good data, the accuracy rate could be almost perfect.
Facial recognition is already being implemented in US airports for security and efficiency. But there are concerns that the US government is creating a digital ID library of millions of Americans without consent.

The US Immigration and Customs Enforcement are also using facial recognition for security reasons. But without clear protections, it could be used as a tool to violate human rights. China is also implementing facial recognition on a bigger scale by giving citizens "social scores" in hopes of helping society become better.

Facial recognition can be used to make tasks automated, convenient, and efficient. But there needs to be regulation and protections in place.

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Facial recognition is controversial. There’s no getting around it. Out of all the biometric technologies available, none carry the same baggage as automated facial recognition. So, will a number of positive use cases be enough to offset people’s concerns about this mass surveillance technology? Will the possibility of preventing another 9/11-style terrorist attack outweigh people’s privacy concerns? We’ll have to watch and wait... And in the meantime, expect to be watched wherever you go.

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APPG AI EVIDENCE MEETING: Face and emotion recognition technologies: How can regulations protect citizens and their privacy? (8 JUNE 2020 5:30 pm London - global webinar)

EVIDENCE GIVERS:
- Professor Nadia Bianchi-Berthouze, Professor & Deputy Director of University College London Interaction Centre (UCLIC)
- Dr Temitayo Olugbade, Research Fellow at UCLIC
Matthias Spielkamp, Co-Founder and Executive Director, Algorithm Watch
- Dr Seeta Peña Gangadharan, Assistant Professor in the Department of Media and Communications, London School of Economics and Political Science (LSE)
- Matt Celuszak, CEO, Element Human
- Silkie Carlo, Director, Big Brother Watch
- Andrew Bud CBE, CEO and Founder, iProov

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