| Towards the end of the article Kissinger states "Other countries have made AI a major national project. The United States has not yet, as a nation, systematically explored its full scope, studied its implications, or begun the process of ultimate learning. This should be given a high national priority, above all, from the point of view of relating AI to humanistic traditions." Which seems to me a disappointing end to the article. An appeal for a national effort to manage AI. "Other countries have major AI projects" but what exactly should the US model itself after? "The United States has not yet systematically explored it's scope" but US publishes the second most research papers on AI (https://www.timeshighereducation.com/data-bites/which-countr...) which I think in general is a bad metric but if you're looking at the output that a system produces, it's the best metric you're going to get. Looking at the private sector, the AI makeup of the leading AI/Robotics ETF $BOTZ (https://www.globalxfunds.com/funds/botz/) is comprised of mostly American companies. Similarly, look at the sheer number of ML/AI startups in SV. So I fail to see where the crisis is. If American universities are among the leaders in AI research and American companies are among the leaders in the AI economy, why is there such a tone of urgency in this article? Kissinger's argument leads me to believe that he's advocating for a blanket "AI" initiative but he doesn't have a clear idea of what he wants this initiative to do. Without a clear direction for how he wants the US to be "relating AI to humanistic traditions", whatever he's proposing here is just the marriage of shallow musings about the consequences of AI and some kind of blind belief in federal government initiative. |