ABSTRACT
Dubhashi examines whether universities can combat the wrong kind of artificial intelligence (AI). Excessive focus on automation is a central defining characteristic of "the wrong kind of AL" Several factors seem to indicate that automation will accelerate following the COVID-19 pandemic. While people argue about how far AI and automation will completely eliminate jobs, in talking about the "wrong kind of AI," we also must consider what is happening to existing jobs. The central leadership role in combating the "wrong kind of AI" should thus be the responsibility of the university.
ABSTRACT
COVID-19 pandemic represents an unprecedented global health crisis in the last 100 years. Its economic, social and health impact continues to grow and is likely to end up as one of the worst global disasters since the 1918 pandemic and the World Wars. Mathematical models have played an important role in the ongoing crisis; they have been used to inform public policies and have been instrumental in many of the social distancing measures that were instituted worldwide. In this article, we review some of the important mathematical models used to support the ongoing planning and response efforts. These models differ in their use, their mathematical form and their scope.