Towards a Computational Model of Artificial Intuition and Decision Making

Many organisms can predict future events from the statistics of past experience, but humans also excel at making predictions by pure reasoning-- integrating multiple sources of information, guided by abstract knowledge, to form rational expectations about novel situations, never directly experienced. Here, we show that this reasoning is surprisingly rich, powerful, and coherent even in preverbal infants.

Piggybacking off our ethics discussion in this week's GBM, we'll be focusing on the ethical considerations surrounding use of artificial intelligence in therapeutic applications, specificially with respect to aiding current state of the art approaches to therapy. Much of the paper discusses surveys and statistics of physicians and their attitudes towards technology, and our discussion will extend this to address the ethical backdrop for the topics mentioned.