The U.S. is significantly behind much of the rest of the developed world in exploring applications of AI in government. This does not have to be the case - the U.S. is leading the world with the fundamental research capabilities, and we have available to us the largest pool of investment tools and options on the planet. Yet, we are not doing anywhere near enough to take advantage of those capabilities, except in pockets of government (most of them in defense & intelligence). The rest of the developed world is making huge investments of money, time and talent in developing AI capabilities to improve citizen services, while we have barely scratched the surface.
To correct this situation, we must find new models of broad cooperation between government, private sector and academia. We must more openly share ideas, experiences and lessons learned. We must make much more significant investments of time, money and talent and have the patience to let exploration occur. We must start openly (and rationally, not with 'scare words') discussing how AI could affect current and future jobs.
This article summarizes the key findings of a White House Summit on these topics. It acknowledges that we are far behind, despite our structural advantages. It starts to explore some of the things we need to start doing much better. And it points out we are not all that good at the cooperative arrangements and communications we really need - this is the primary thing we need to dramatically improve.
I commend this article to your attention, if you are at all interested in realizing the value AI could bring to serving citizens.
If government can successfully tap the tens of billions of dollars available from the venture community, engage with best practices and thought leadership institutions that are also heavily engaged in industry, and share its needs beyond a small group of well-connected individuals, then the US will indeed be able to pursue and maintain its goal of being a leader in the AI ecosystem.