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Artificial intelligence (AI) is a transformative technology that holds promise for tremendous societal and economic benefit. AI has the potential to revolutionize how we live, work, learn, discover, and communicate. AI research can further our national priorities, including increased economic prosperity, improved educational opportunities and quality of life, and enhanced national and homeland security. Because of these potential benefits, the U.S. government has invested in AI research for many years. Yet, as with any significant technology in which the Federal government has interest, there are not only tremendous opportunities but also a number of considerations that must be taken into account in guiding the overall direction of Federally-funded R&D in AI. On May 3, 2016, the Administration announced the formation of a new NSTC Subcommittee on Machine Learning and Artificial intelligence, to help coordinate Federal activity in AI.1 This Subcommittee, on June 15, 2016, directed the Subcommittee on Networking and Information Technology Research and Development (NITRD) to create a National Artificial Intelligence Research and Development Strategic Plan. A NITRD Task Force on Artificial Intelligence was then formed to define the Federal strategic priorities for AI R&D, with particular attention on areas that industry is unlikely to address. This National Artificial Intelligence R&D Strategic Plan establishes a set of objectives for Federally-funded AI research, both research occurring within the government as well as Federally-funded research occurring outside of government, such as in academia. The ultimate goal of this research is to produce new AI knowledge and technologies that provide a range of positive benefits to society, while minimizing the negative impacts.
This book is a comparative study of government and public policy in the twenty small states of the Pacific Islands, examining the often tense societal interactions over competing conceptions of public-sector institutions and authority, rule-making, and policy processes.
This title was first published in 2001. This text explores the relationship between telecommunications strategic planning process (TSPP), the organization and the environment for developing an understanding of the idea of a national TSPP (NTSPP) in Thailand. The overall aim is to explore an understanding of an NTSPP by providing a detailed study of the strategic planning and practices of the Thai telecom regulators during the period from 1954 to 1996. It applies the strategic planning process principles to further the understanding of NTSPP in Thailand. By using the SPP framework, the study develops a theoretical TSPP framework for analyzing the underlying TSPP strategies within the national telecom regulators in Thailand. It also seeks to illustrate the limitations of the traditional strategic planning theory when applied to NTSPP. From a theoretical perspective, this book illustrates that a lack of formalization and consensus in Thailand's NTSPP is the fundamental backlog for the successful operation of its industry.
A catastrophic public health (PH) event could threaten our national security and cause hundreds of thousands of casualties. Recognizing the need for efficient sharing of real-time info. to help prevent devastating consequences of PH emergencies, Congress mandated the Dept. of Health and Human Services (HHS), in collaboration with state, local, and tribal PH officials, to develop a strategic plan for the establishment and evaluation of an electronic nationwide PH situational awareness capability. This report reviewed HHS's status of efforts to implement these capabilities, described collaborative efforts to establish a network, and determined grants authorized by the act and awarded to PH entities. Charts and tables. This is a print on demand report.