ABSTRACT
Caregivers' mental representations of their children can be assessed prenatally and are prospectively associated with later caregiving quality and caregiver-child attachment. Compared to balanced, distorted or disengaged representations are linked to insecure caregiver-child attachments. The present study explored factors (i.e. stressful life experiences and positive experiences) that may be linked to risk for distorted and disengaged representations. We used a brief version of the Prenatal Working Model of the Child Interview in a sample of 298 pregnant people (ages 19 to 45 years; M = 30.83, SD = 5.00) between gestational age 11-38 weeks (M = 23.49, SD = 5.70). A greater number of stressful events across three developmental periods (i.e., lifespan, childhood, and pregnancy) were related to increased odds of distorted, compared to balanced classification. Pregnancy stress had the largest association. Positive experiences from childhood did not buffer the association between stress and representations. Findings highlight the importance of stress on prenatal representations of one's child.
Subject(s)
Object Attachment , Stress, Psychological , Humans , Female , Pregnancy , Stress, Psychological/psychology , Adult , Young Adult , Middle Aged , Life Change Events , Caregivers/psychologyABSTRACT
Advances in artificial intelligence (AI) raise important questions about whether people view moral evaluations by AI systems similarly to human-generated moral evaluations. We conducted a modified Moral Turing Test (m-MTT), inspired by Allen et al. (Exp Theor Artif Intell 352:24-28, 2004) proposal, by asking people to distinguish real human moral evaluations from those made by a popular advanced AI language model: GPT-4. A representative sample of 299 U.S. adults first rated the quality of moral evaluations when blinded to their source. Remarkably, they rated the AI's moral reasoning as superior in quality to humans' along almost all dimensions, including virtuousness, intelligence, and trustworthiness, consistent with passing what Allen and colleagues call the comparative MTT. Next, when tasked with identifying the source of each evaluation (human or computer), people performed significantly above chance levels. Although the AI did not pass this test, this was not because of its inferior moral reasoning but, potentially, its perceived superiority, among other possible explanations. The emergence of language models capable of producing moral responses perceived as superior in quality to humans' raises concerns that people may uncritically accept potentially harmful moral guidance from AI. This possibility highlights the need for safeguards around generative language models in matters of morality.
Subject(s)
Artificial Intelligence , Morals , Humans , Artificial Intelligence/ethics , Female , Male , Adult , Young Adult , Middle Aged , JudgmentABSTRACT
There are two distinct combinations of psychopathic traits (primary and secondary) that have been proposed to be a function of unique cognitive-affective deficits. This study sought to use theories of psychopathy to understand the factors that exacerbate (i.e., provocation) and attenuate (i.e., distraction) aggression in individuals high in psychopathic traits in a controlled laboratory task. Male undergraduates, who scored across the range of primary and secondary psychopathic traits, completed the Taylor Aggression Paradigm (TAP; Taylor, 1967) under conditions of low and high provocation. Participants were also randomly assigned to either a distraction condition, in which they completed a distracting concurrent task, or a control condition, in which no such task was completed. Inconsistent with our prediction, results showed that regardless of condition, primary psychopathic traits were positively related to laboratory aggression. Consistent with our hypothesis, a positive association between secondary psychopathic traits and laboratory physical aggression was observed following high provocation among nondistracted participants; this association was significantly reduced among distracted participants. These results clarify the factors that contribute to aggression for individuals high in psychopathic traits and may provide directions for future intervention development.