mlsanityData to 14 Oct 2026

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

arXiv 1611.04135 ↗First posted 13 Nov 2016cs.CVcited by 14

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Abstract (arXiv)

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.

Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 Nov 2016.

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Citing papers per year: 2021: 2; 2022: 5; 2023: 3; 2024: 2; 2025: 2.

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  1. 2022Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goalscited by 126
  2. 2022A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learningcited by 104
  3. 2022Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learningcited by 48
  4. 2022A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithmscited by 30
  5. 2021About Face: A Survey of Facial Recognition Evaluationcited by 27
  6. 2021"Garbage In, Garbage Out" Revisited: What Do Machine Learning Application Papers Report About Human-Labeled Training Data?cited by 24
  7. 2023Ethical Considerations for Responsible Data Curationcited by 17
  8. 2025Beyond transparency: computational reliabilism as an externalist epistemology of algorithmscited by 4
  9. 2022Pre-Trained Language Transformers are Universal Image Classifierscited by 1
  10. 2023Visual Privacy: Current and Emerging Regulations Around Unconsented Video Analytics in Retailcited by 0
  11. 2023Deep Learning and Ethicscited by 0
  12. 2024Facing Identity: The Formation and Performance of Identity via Face-Based Artificial Intelligence Technologiescited by 0
2 more
  1. 2024The Return of Pseudosciences in Artificial Intelligence: Have Machine Learning and Deep Learning Forgotten Lessons from Statistics and History?cited by 0
  2. 2025Fuck the Algorithm: Conceptual Issues in Algorithmic Biascited by 0