The mandate of the National Security Commission on Artificial Intelligence (NSCAI) is to make recommendations to the President and Congress to “advance the development of artificial intelligence, machine learning, and associated technologies to comprehensively address the national security and defense needs of the United States.”

This Final Report presents the NSCAI’s strategy for winning the artificial intelligence era. The 16 chapters in the Main Report provide topline conclusions and recommendations. The accompanying Blueprints for Action outline more detailed steps that the U.S. Government should take to implement the recommendations.

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Final Report of the National Security Commission on Artificial Intelligence, July 2021 [756 Pages, 14MB]

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The post Final Report of the National Security Commission on Artificial Intelligence, March 2021 first appeared on The Black Vault.

The following documents were obtained under the Freedom of Information Act (FOIA) from the Central Intelligence Agency (CIA). They were requested in November of 2016, and finally released in April of 2018.

They profile the research done by the USSR on Artificial Intelligence in the mid 1960s.

Although this is considered one “document” by the CIA (as indicated by the MORI ID number on the top left of the pages), it does comprise of multiple records regarding USSR Artificial Intelligence research.

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 CIA Scientific Intelligence Reports on Artificial Intelligence Research in the USSR, September 1964 [68 Pages, 10.3MB]

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Artificial intelligence (AI) is the intelligence exhibited by machines or software. It is also the name of the academic field of study which studies how to create computers and computer software that are capable of intelligent behavior. Major AI researchers and textbooks define this field as “the study and design of intelligent agents”, in which an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success. John McCarthy, who coined the term in 1955, defines it as “the science and engineering of making intelligent machines”.

The following are documents relating to artificial intelligence. Since the evolution of technology moves very quickly, I have started the archive to appear chronologically (then alphabetically) to differentiate the difference is scientific knowledge and technological capabilities over the decades.

Declassified Documents

 Some Problems and Proposals for Knowledge Representation, 06 August 1987 [44 Pages, 5.5MB] – Knowledge representation is widely regarded as a central problem in artificial intelligence. However, there appears to be no convergence of opinion as to the form a knowledge representation system should take, the principles it should embody, or even what its goal should be. While progress in the past decade has led to a number of interesting theories and useful programming formalisms, this research has also raised doubts about the adequacy of the foundations of many of these ideas. This paper presents some observations about the knowledge representation schemes now in common use. Some of these observations are critiques of these schemes, or extensions of critiques made by others. To remedy some of these problems, a new theory of knowledge representation is proposed. The theory attempts to encompass representational ideas that have emerged from different schools of thought, in particular from work in semantic networks, frames, frame semantics, and Conceptual Dependency.

The post Artificial Intelligence first appeared on The Black Vault.