Suchergebnisse

AbstractThe first phases of a long‐range project for developing models for the evaluation of intelligence systems in terms of measurable outputs are reported. In making such evaluations, the number of correct identifications, number of false alarms, number of displacements, and number of complete misses must be measured, in each of several categories (such as infantry, artillery, armor, supply lines), in each of a number of sectors (front line, rear, far rear), and in each of several situations (such as attack or defense, good or poor mobility). The major results to date are (1) the development of experimental techniques, (2) the formulation of an analytical model. (3) the development of analysis techniques for evaluation of parameters in the model in terms of empirical results, (4) the preliminary evaluation of parameters (rank‐order correlations of 0.8 and higher have been established between some of the analytic predictions and the empirical results), and (5) formulation of several concrete unsolved problems out of the over‐all problem. Plans for continued studv are discussed.

AbstractA large‐scale experiment was designed to obtain the intuitive evaluations of intelligence reports from a large group of experienced Army officers. An interval scale of quality of the intelligence reports was constructed with a view to providing some mathematical models that describe in a simple fashion the way in which the components of an intelligence report combine to determine the value of the report. The results of the study indicate (a) that officers judge such intelligence reports consistently, (b) that they use criteria in judging intelligence estimates different from those they use in judging courses of action, and (c) that the judgments depend to some extent on the combat experience of the officer. The different techniques of obtaining rating scales were found to produce essentially the same results.

Yes ; As far back as the industrial revolution, significant development in technical innovation has succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity. Artificial Intelligence (AI) offers this same transformative potential for the augmentation and potential replacement of human tasks and activities within a wide range of industrial, intellectual and social applications. The pace of change for this new AI technological age is staggering, with new breakthroughs in algorithmic machine learning and autonomous decision-making, engendering new opportunities for continued innovation. The impact of AI could be significant, with industries ranging from: finance, healthcare, manufacturing, retail, supply chain, logistics and utilities, all potentially disrupted by the onset of AI technologies. The study brings together the collective insight from a number of leading expert contributors to highlight the significant opportunities, realistic assessment of impact, challenges and potential research agenda posed by the rapid emergence of AI within a number of domains: business and management, government, public sector, and science and technology. This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development.