This piece considers the general state of policy on AI and also gives some numbers to the federal activity encouraging research and application in this field.
Growing interest in Artificial Intelligence (AI) comes from a range of audiences including academia, commercial industry, the entertainment industry, and now the White House Office of Science and Technology Policy (OSTP). On October 12, 2016, OSTP released two new documents on AI. The National Artificial Intelligence Research and Development Strategic Plan is a high level framework for prioritizing and coordinating federal research and development (R&D) to advance AI. A companion piece, Preparing for the Future of Artificial Intelligence, discusses the technologies that can be identified as AI and how these may be used to benefit society. A third document, to be authored by the President’s Council of Economic Advisors and released later this year, will explore how AI might affect employment.
AI—along with related initiatives on topics ranging from precision medicine to the Internet of Things (IoT)—was also showcased at the White House Frontiers Conference. But the winds of change blow fiercely in election years. With the presidential election approaching, one key task for the incoming administration will be to take account of current OSTP policies and determine whether these will be bolstered or recast. The rest of this piece considers: How can the next administration advance current policies? And what can be done in and beyond the White House to ensure that AI R&D remains a national priority in the coming years?
There are many technologies that can be grouped under the designation of AI, from general techniques to specific applications. One general technology is deep learning, which is a set of techniques for gradually structuring data by defining it in layers. A more specific application is machine translation, which powers the familiar service Google Translate. While many AI technologies were initially created in research laboratories, innovation in AI technology is increasingly driven by industry, thanks to (for example) market incentives for investing in digital personal assistants and autonomous driving.
Any administration that makes AI a priority will want to see the US emerge as a global leader. Unfortunately, as a relatively new area of broad public interest the exact levels of financial investment in AI research are not well-defined. Thus, determining where funding originates or how exactly it is spent is challenging. As one starting point, the National AI R&D strategy gives a number of $1.1 billion in unclassified, federally funded R&D for AI.  However, without more statistics for AI investment, it is difficult to compare US federal investments with funding in other countries. Some other approximations of productivity are possible, including comparing the number of relevant journal articles and patents in countries like China and the US (e.g., NSTC’s strategy in the National Artificial Intelligence Research and Development Strategic Plan), or comparing the number of computer science publications by country. Continue reading “AI- Policies for the Next Administration”