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Evaluating General-Purpose AI with Psychometrics
Comprehensive and accurate evaluation of general-purpose AI systems such as large language models allows for effective mitigation of their risks and deepened understanding of their capabilities.
Measuring a Texts Fairness Dimensions Using Machine Learning Based on Social Psychological Factors
We then attempt to digitise these using word embeddings into a multi-dimensioned sentence level fairness perceptions vector to serve as an approximation for these fairness perceptions.
The Golden Rule as a Heuristic to Measure the Fairness of Texts Using Machine Learning
In this paper we consider how to algorithmically operationalise this rule so that it may be used to measure sentences such as: the boy harmed the girl, and categorise them as fair or unfair.
What your Facebook Profile Picture Reveals about your Personality
We analyze the effectiveness of four families of visual features and we discuss some human interpretable patterns that explain the personality traits of the individuals.
Latent Human Traits in the Language of Social Media: An Open-Vocabulary Approach
Taking advantage of linguistic information available through Facebook, we study the process of inferring a new set of potential human traits based on unprompted language use.
How smart does your profile image look? Estimating intelligence from social network profile images
We examine what Facebook images say about users' perceived and measured intelligence.
