Quantum Artificial Intelligence: A “precautionary” U.S. approach?

Abstract

Quantum Computing (QC) and Quantum Artificial Intelligence (QAI) are two powerful new technologies whose potential impacts are just starting to be appreciated. As important as they are likely to be, their implications are still little known. This article's purpose is an attempt to provide a policy space within which to begin fill that void.It presents a non-technical introduction to the concept of quantum mechanics in general, to the unique characteristics of sub-atomic particles, to quantum applications, and to QC and QAI in particular. The development of fully functioning quantum information technologies is in its early stages, but is being pursued aggressively. One of the most salient of these is Quantum Artificial Intelligence (QAI) – a fusion of QC and AI -- which some see as potentially threatening. There is little in established telecommunications or information policies to inform our approach to its capabilities.The article notes some of the challenges to development of quantum-based information technologies and considers the scope of global competition to the U.S. in this field, especially from China. It reviews the treatment of “Quantum Information Science” in U.S. policy. It describes the current policy environment and the range of new measures which might be available, if needed, to incorporate QAI into an overall information policy regime.In conclusion the article reviews the debate over adoption of the “precautionary principle” for QAI, an approach to policy when it must deal with weakly understood causes of potentially catastrophic or irreversible events. It sets out the arguments pro and con, and in the absence of an immediate resolution proposes adoption of a policy space in which stakeholders can address their salient concerns, without materially impairing technological progress and commercial viability.