Social Intelligence: The New Frontier of Integrating Human Intelligence and Artificial Intelligence in Social Space, which was recently published by Springer Nature, provides a roadmap for tackling some of the most urgent questions of our time—how to design AI systems that are not only powerful, but fair, explainable, and deeply human-centered. The book is co-authored by Dong Wang, professor of information sciences at the University of Illinois Urbana-Champaign; Lanyu Shang, assistant professor of computer science at Loyola Marymount University; and Yang Zhang, assistant professor of computer science and software engineering at Miami University.

a new study from UCLA finds both biological brains and AI neural networks developed similar behavioral strategies and neural representations when coordinating their actions, suggesting there are fundamental principles of cooperation that transcend biology and technology.

Brazilian researchers, in partnership with French institutions, combine advanced cell image analysis technology and machine learning and discover a morphological marker linked to individuals who do not respond to natalizumab. An estimated 2.8 million people worldwide and 40,000 in Brazil have the disease. Most diagnoses occur in people aged 20 to 50, and women are two to three times more likely to be affected than men.

A new study from researchers at the Mount Sinai Health System suggests that a simple tweak to how artificial intelligence (AI) assigns diagnostic codes could significantly improve accuracy, even outperforming physicians. The findings, reported in the September 25 online issue of NEJM AI [DOI: 10.1056/AIcs2401161], could help reduce the time doctors spend on paperwork, cut billing errors, and improve the quality of patient records.

 

Although many of us are still skeptical of chatbots, algorithms, and robots, the artificial agents actually do well dealing with customers. Sometimes even better than humans.