Human-AI interactions are well understood in terms of trust and companionship. However, the role of attachment and experiences in such relationships is not entirely clear. In a new breakthrough, researchers from Waseda University have devised a novel self-report scale and highlighted the concepts of attachment anxiety and avoidance toward AI. Their work is expected to serve as a guideline to further explore human-AI relationships and incorporate ethical considerations in AI design.

Global warming is continuously advancing. How quickly this will happen can now be predicted more accurately than ever before, thanks to a method developed by climate researcher Gottfried Kirchengast and his team at the University of Graz. For the first time, this method enables reliable monitoring of the Paris climate goals and shows that temperatures are rising faster than expected in the latest IPCC report. Based on this, the researchers propose a four-classes assessment scale to quantitatively gauge to what degree the Paris climate goals are being met or missed. "This creates a completely new compliance assessment basis for the political and legal implementation of the agreement", says Kirchengast.