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arXiv:1611.04135cs.CV

Responses to Critiques on Machine Learning of Criminality Perceptions (Addendum of arXiv:1611.04135)

Xiaolin Wu, Xi Zhang

Abstract

In November 2016 we submitted to arXiv our paper "Automated Inference on Criminality Using Face Images". It generated a great deal of discussions in the Internet and some media outlets. Our work is only intended for pure academic discussions; how it has become a media consumption is a total surprise to us. Although in agreement with our critics on the need and importance of policing AI research for the general good of the society, we are deeply baffled by the ways some of them mispresented our work, in particular the motive and objective of our research.

arXiv comments
Journal reference
DOI
Subjects
cs.CVComputer Vision and Pattern Recognition

On Hacker News

Linked by 13 identifiable commenters in 14 comments across 13 threads, from Dec 2016 to Aug 2022. Found in 2 HN submissions from Nov 2016 to Nov 2016. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments13 threads

  1. America’s First Black Physician (2021) 1 comment

    • > The moment he stepped back on U.S. soil, he delivered a lecture titled “The Fallacy of Phrenology,” where he attacked the notion that head shape and size dictates the relative intelligence of different racial groups. But what if phrenology was based on machine learning?…

      oldgradstudentView on HNParent context

  2. Medical Student banished from UVA campus for questioning Microaggressions 2 comments

    • I think the discussion about this already over, i.e. it's now a part of the social contract that we don't question certain things, not because they're true or false but because of social cost of challenging them. For example, we know that the distribution of certain…

      dvfjsdhgfvView on HNParent context

    • There is a sea of difference between the Chinese paper and the other two you mentioned. The Chinese were very straightforward: can we identify facial traits that are more present in criminals? To a certain degree, they answer positively by saying there is a greater variation in…

      dvfjsdhgfvView on HNParent context

  3. HU facial recognition software predicts criminality 1 comment

    • Related from 2016 "Responses to Critiques on Machine Learning of Criminality Perceptions" https://arxiv.org/abs/1611.04135v3

      tastroderView on HNParent context

  4. The Liar's Walk: Detecting Deception with Gait and Gesture 1 comment

    • boomark for next time a China hate-parade comes around: OP is treading the same water as https://arxiv.org/pdf/1611.04135v1.pdf "Automated Inference on Criminality using Face Images"

      gowldView on HNParent context

  5. Machine Learning Crash Course 1 comment

    • Explain the mechanism, please. It seems wildly implausible to me that someone's facial features change (let alone in a predictable way) once they've committed a crime. However, I can easily imagine this "working" by keying off things like age/race/gender, which will get you a…

      mattkrauseView on HNParent context

  6. BIY: Believe It Yourself 1 comment

    • Oh, this has been done before: Automated Inference on Criminality using Face Images, Wu & Zhang, 2016, Arxiv. https://arxiv.org/pdf/1611.04135v2.pdf Deep Neural Networks Are More Accurate Than Humans at Detecting Sexual Orientation From Facial Images, Kosinski & Wang, Journal of…

      YeGoblynQueenneView on HNParent context

  7. Tracking Phones, Google Is a Dragnet for the Police 1 comment
  8. Preparing for Malicious Uses of AI 1 comment

    • And then there is obscene "research" like this: https://arxiv.org/pdf/1611.04135v1.pdf "Automated Inference on Criminality using Face Images." How does stuff like this get past IRB?

      TuringNYCView on HNParent context

  9. A.I ‘Gaydar’ Could Be the Start of Something Much Worse 1 comment

    • More coming from China: "Automated Inference on Criminality using Face Images" https://arxiv.org/pdf/1611.04135v2.pdf

      bitLView on HNParent context

  10. Deep neural networks more accurate than humans at detecting sexual orientation 1 comment

    • This article [0] discusses a paper by Chinese researchers [1] that did just that. (and yes, it is quite dumb/dangerous) [0] https://medium.com/@blaisea/physiognomys-new-clothes-f2d4b59... [1] https://arxiv.org/abs/1611.04135

      halflingsView on HNParent context

  11. China's Plan for World Domination in AI Isn't So Crazy 1 comment

    • Ah China and AI.. Just remembered this nice piece of paper: Automated Inference on Criminality using Face Images, https://arxiv.org/pdf/1611.04135v2.pdf At best they will become an Orwellian nightmare then they currently are, World domination? Please...

      low_batteryView on HNParent context

  12. White Collar Crime Risk Zones 1 comment

    • As a proof of concept, we have downloaded the pictures of 7000 corporate executives whose LinkedIn profiles suggest they work for financial organizations, and then averaged their faces to produce generalized white collar criminal subjects unique to each high risk zone. Future…

      panarkyView on HNParent context

  13. Unexpected sources of bias in artificial intelligence 1 comment

    • Here is a paper titled Automated Inference on Criminality using Face Images [0]. The system is trained on existing conviction records. Inheriting all the prejudices and biases of our current justice system. [0] https://arxiv.org/abs/1611.04135

      interpol_pView on HNParent context

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