Above and beyond the content: Feelings influence mental simulations.

Gilead et al. present a rich account of abstraction. Though the account describes several elements which influence mental representation, it is worth also delineating how feelings, such as fluency and emotion, influence mental simulation. Additionally, though past experience can sometimes make simulations more accurate and worthwhile (as Gilead et al. suggest), many systematic prediction errors persist despite substantial experience.

AI-induced indifference: Unfair AI reduces prosociality.

The growing prevalence of artificial intelligence (AI) in our lives has brought the impact of AI-based decisions on human judgments to the forefront of academic scholarship and public debate. Despite growth in research on people's receptivity towards AI, little is known about how interacting with AI shapes subsequent interactions among people. We explore this question in the context of unfair decisions determined by AI versus humans and focus on the spillover effects of experiencing such decisions on the propensity to act prosocially. Four experiments (combined N = 2425) show that receiving an unfair allocation by an AI (versus a human) actor leads to lower rates of prosocial behavior towards other humans in a subsequent decision-an effect we term AI-induced indifference. In Experiment 1, after receiving an unfair monetary allocation by an AI (versus a human) actor, people were less likely to act prosocially, defined as punishing an unfair human actor at a personal cost in a subsequent, unrelated decision. Experiments 2a and 2b provide evidence for the underlying mechanism: People blame AI actors less than their human counterparts for unfair behavior, decreasing people's desire to subsequently sanction injustice by punishing the unfair actor. In an incentive-compatible design, Experiment 3 shows that AI-induced indifference manifests even when the initial unfair decision and subsequent interaction occur in different contexts. These findings illustrate the spillover effect of human-AI interaction on human-to-human interactions and suggest that interacting with unfair AI may desensitize people to the bad behavior of others, reducing their likelihood to act prosocially. Implications for future research are discussed. All preregistrations, data, code, statistical outputs, stimuli qsf files, and the Supplementary Appendix are posted on OSF at: https://bit.ly/OSF_unfairAI.

Social and moral psychology of COVID-19 across 69 countries.

The COVID-19 pandemic has affected all domains of human life, including the economic and social fabric of societies. One of the central strategies for managing public health throughout the pandemic has been through persuasive messaging and collective behaviour change. To help scholars better understand the social and moral psychology behind public health behaviour, we present a dataset comprising of 51,404 individuals from 69 countries. This dataset was collected for the International Collaboration on Social & Moral Psychology of COVID-19 project (ICSMP COVID-19). This social science survey invited participants around the world to complete a series of moral and psychological measures and public health attitudes about COVID-19 during an early phase of the COVID-19 pandemic (between April and June 2020). The survey included seven broad categories of questions: COVID-19 beliefs and compliance behaviours; identity and social attitudes; ideology; health and well-being; moral beliefs and motivation; personality traits; and demographic variables. We report both raw and cleaned data, along with all survey materials, data visualisations, and psychometric evaluations of key variables.