Digital technologies have changed the everyday use of human memory. When information is saved or made readily available online, there is less need to encode or maintain access to that information within the biological structures of memory. People increasingly depend … Continued
Artificial intelligence (AI) applications are increasingly used in everyday life. Whereas some of them are widely accepted (e.g., automatically compiled playlists), others are highly controversial (e.g., use of AI in the classroom). While public discourse is dominated by perceptions of … Continued
To assess the replicability of social priming findings we reviewed the extant close replication attempts in the field. In total, we found 65 close replications, that replicated 46 unique findings. Ninety-four percent of the replications had effect sizes smaller than … Continued
In the last decade, a great number of organizations have produced documents intended to standardize, in the normative sense, and promote guidance to our recent and rapid AI development. However, the full content and divergence of ideas presented in these documents … Continued
Scientists must choose which among many experiments to perform. We study the epistemic success of experimental choice strategies proposed by philosophers of science or executed by scientists themselves. We develop a multi-agent model of the scientific process that jointly formalizes … Continued
This paper shows that shootings are predictable enough to be preventable. Using arrest and victimization records for almost 644,000 people from the Chicago Police Department, we train a machine learning model to predict the risk of being shot in the … Continued
PrePrint Abstract Mind upload, or the digital copying of an individual brain and mind, could theoretically allow one to “live forever”. If such a technology became available, who would be the most likely to approve of it or condemn it? … Continued
Schooling may build human capital not only by teaching academic skills, but by expanding the capacity for cognition itself. We focus specifically on cognitive endurance: the ability to sustain effortful mental activity over a continuous stretch of time. As motivation, … Continued
Machine learning (ML) models are increasingly being used in application domains that often involve working together with human experts. In this context, it can be advantageous to defer certain instances to a single human expert when they are difficult to … Continued
With the powerful performance of Artificial Intelligence (AI) also comes prevalent ethical issues. Though governments and corporations have curated multiple AI ethics guidelines to curb unethical behavior of AI, the effect has been limited, probably due to the vagueness of … Continued