Since the AIDS epidemic of the early 1980s, epidemic modelling has generated dramatic numbers – often leading to widespread panic. But how reliable are they? Not very. Covid case and fatality projections have tumbled by orders of magnitude. This is nothing new, however. After so many failures, Michael Fumento argues in Issues and Insights, it’s time to ditch the models.

Keeping the AI Apocalypse at Bay
Writing in City Journal, Judge Glock examines legal efforts to control AI and dismisses the current fixation on suing for specific harms, such as bad advice. “The idea that we should treat Big Tech, including AI companies, like we treated Big Tobacco, is exactly the wrong idea,” he observes. A better approach is to assess product liability based on which parties can perform the task at the cheapest cost, as is the case with the regulation of medical equipment. This “has the benefit of putting the onus on companies themselves to game out dangerous scenarios and prevent them,” he advises. For more on AI, see this C2C article.


