Measuring Trustworthiness or Automating Physiognomy? A Comment on Safra, Chevallier, Grèzes, and Baumard (2020)
@article{Spanton2022MeasuringTO, title={Measuring Trustworthiness or Automating Physiognomy? A Comment on Safra, Chevallier, Gr{\`e}zes, and Baumard (2020)}, author={Rory Wilfrid Spanton and Olivia Guest}, journal={ArXiv}, year={2022}, volume={abs/2202.08674} }
Interpersonal trust — a shared display of confidence and vulnerability toward other individuals — can be seen as instrumental in the development of human societies. Safra, Chevallier, Grèzes, and Baumard (2020) [1] studied the historical progression of interpersonal trust by training a machine learning (ML) algorithm to generate trustworthiness ratings of historical portraits, based on facial features. They reported that trustworthiness ratings of portraits dated between 1500– 2000CE increased…
Figures from this paper
3 Citations
Data Subjects' Perspectives on Emotion Artificial Intelligence Use in the Workplace: A Relational Ethics Lens
- PsychologyProc. ACM Hum. Comput. Interact.
- 2023
The workplace has experienced extensive digital transformation, in part due to artificial intelligence's commercial availability. Though still an emerging technology, emotional artificial…
From Modelling to Understanding Children's Behaviour in the Context of Robotics and Social Artificial Intelligence
- PsychologyArXiv
- 2022
. Understanding and modelling children’s cognitive processes and their behaviour in the context of their interaction with robots and social artificial intelligence systems is a fundamental…
The games we play: critical complexity improves machine learning
- Computer ScienceHHAI
- 2022
It is argued that best practice in ML should be more consistent with critical complexity perspectives than with rationalist, grand narratives, and is referred to as Open Machine Learning (Open ML), which is contrasted with some of the grand narratives of ML of two forms.
24 References
Tracking historical changes in perceived trustworthiness in Western Europe using machine learning analyses of facial cues in paintings
- Computer ScienceNature Communications
- 2020
An algorithm is designed to automatically estimate ratings of perceived trustworthiness evaluations from specific facial cues detected in European portraits detected in large historical databases, using this measure as a proxy of social trust in history.
Automated Inference on Sociopsychological Impressions of Attractive Female Faces
- Psychology, Computer ScienceArXiv
- 2016
This article presents a case study of automated statistical inference on sociopsychological perceptions of female faces controlled for race, attractiveness, age and nationality, and suggests the possibility of training machine learning algorithms to predict perceptions of personality traits and demeanors.
First Impressions From Faces
- PsychologyCurrent directions in psychological science
- 2017
Commonalities in impressions across diverse perceivers are focused on, with additional brief attention given to individual differences in impressions and impression accuracy.
A set of distinct facial traits learned by machines is not predictive of appearance bias in the wild
- PsychologyAI and Ethics
- 2021
It is found that features extracted with FaceNet can be used to predict human appearance biases for deliberately manipulated faces but not for randomly generated faces scored by humans, suggesting some signals of appearance bias documented in social psychology are not embedded by the machine learning techniques investigated.
Towards decolonising computational sciences
- Computer ScienceArXiv
- 2020
It is proposed that grappling with the authors' fields' histories and heritage holds the key to avoiding mistakes of the past and for these fields to progress away from their stagnant, sexist, and racist shared past into carving and maintaining an ecosystem where both a diverse demographics of researchers and scientific ideas that critically challenge the status quo are welcomed.
Responses to Critiques on Machine Learning of Criminality Perceptions (Addendum of arXiv:1611.04135)
- Computer Science
- 2016
Although in agreement with critics on the need and importance of policing AI research for the general good of the society, they are deeply baffled by the ways some of them mispresented the motive and objective of the research.
Algorithmic Injustices: Towards a Relational Ethics
- Computer ScienceArXiv
- 2019
It is argued that concerns surrounding algorithmic decision making and algorithmic injustice require fundamental rethinking above and beyond technical solutions, and a way forward is outlined in a manner that centres vulnerable groups through the lens of relational ethics.
Lavater's Physiognomy in England
- History
- 1961
When Johann Caspar Lavater died in 1801, a leading British periodical, The Scots Magazine, quite rightly acknowledged that he had been, "for many years, one of the most famous men in Europe." 1 Part…
Who trusts?: The origins of social trust in seven societies
- Political Science
- 2003
This article identifies six main theories of the determinants of social trust, and tests them against survey data from seven societies, 1999-2001. Three of the six theories of trust fare rather…