Manipulations that disrupt generative processes decrease conformity to examples: Evidence from two paradigms

Participants in six experiments viewed experimenter‐provided examples of space creatures (Experiments 1–3) or nonwords (Experiments 4–5b) and then created their own novel space creatures or nonwords. Consistent with previous research, people borrowed many of the features found in the examples despite instructions to avoid using any aspects of the experimenter's examples. However, requiring people to include a designated shape in their space creatures or a designated letter in their nonwords attenuated this effect. Additionally, the type of shape or letter (conventional versus unconventional) also affected conformity. These results suggest that the strategies that people use to create novel products can affect the level of conformity and also highlight the importance of adopting unconventional, or at the very least, new strategies when creating new products.     

Adaptive memory: Animacy effects persist in paired-associate learning

Recent evidence suggests that animate stimuli are remembered better than matched inanimate stimuli. Two experiments tested whether this animacy effect persists in paired-associate learning of foreign words. Experiment 1 randomly paired Swahili words with matched animate and inanimate English words. Participants were told simply to learn the English “translations” for a later test. Replicating earlier findings using free recall, a strong animacy advantage was found in this cued-recall task. Concerned that the effect might be due to enhanced accessibility of the individual responses (e.g., animates represent a more accessible category), Experiment 2 selected animate and inanimate English words from two more constrained categories (four-legged animals and furniture). Once again, an advantage was found for pairs using animate targets. These results argue against organisational accounts of the animacy effect and potentially have implications for foreign language vocabulary learning.     

Relational Spirituality and Dealing With Transgressions: Development of the Relational Engagement of the Sacred for a Transgression (REST) Scale

In the study of spirituality and forgiveness, researchers have begun to look at how dynamic spiritual experiences influence forgiveness. In three studies, we develop the Relational Engagement of the Sacred for a Transgression (REST) Scale, which assesses the extent to which victims actively engage a relationship with the Sacred to deal with a specific transgression. In Study 1, exploratory factor analysis was used to determine the factor structure of the REST. In Study 2, the factor structure was replicated using confirmatory factory analysis. The REST was correlated with religious commitment and negatively related to avoidant attachment to God. In Study 3, evidence supporting the scale's construct validity was adduced. REST scores were correlated with other appraisals of relational spirituality. Structural equation modeling was used to compare theoretical models. REST scores were related to dedication to the Sacred and viewing the transgression as a desecration. In addition, REST scores were positively related to empathy, which was positively related to forgiveness. Furthermore, REST scores predicted forgiveness above and beyond other appraisals of relational spirituality.     

Building a Bridge of Trust: Collaborative Assessment With a Person With Serious Mental Illness

Collaborative assessment utilizes psychological testing to help people make positive changes in their lives. Limited research has evaluated the utility of collaborative assessment for persons with serious mental illness. This case example uses the Personality Assessment Inventory to illustrate the usefulness of collaborative assessment with a person with serious mental illness. This approach informed not only diagnostic considerations but also revealed the client's current level of distress, contributed to enhanced therapeutic alliance, and directly pointed to psychiatric rehabilitation strategies.     

Safety Engineering for Artificial General Intelligence

Machine ethics and robot rights are quickly becoming hot topics in artificial intelligence and robotics communities. We will argue that attempts to attribute moral agency and assign rights to all intelligent machines are misguided, whether applied to infrahuman or superhuman AIs, as are proposals to limit the negative effects of AIs by constraining their behavior. As an alternative, we propose a new science of safety engineering for intelligent artificial agents based on maximizing for what humans value. In particular, we challenge the scientific community to develop intelligent systems that have human-friendly values that they provably retain, even under recursive self-improvement.