Computer systems are becoming commonplace; indeed, they are almost ubiquitous. We find them central to the functioning of most business, governmental, military, environmental, and health-care organizations. They are also a part of many educational and training programs. But these computer systems, while increasingly affecting our lives, are rigid, complex and incapable of rapid change.
To help us and our organizations cope with the unpredictable eventualities of an ever-more volatile world, these systems need capabilities that will enable them to adapt readily to change. They need to be intelligent. Our national competitiveness depends increasingly on capacities for accessing, processing, and analyzing information. The computer systems used for such purposes must also be intelligent. Health-care providers require easy access to information systems so they can track health-care delivery and identify the most recent and effective medical treatments for their patients' conditions.
Crisis management teams must be able to explore alternative courses of action and support decision making. Educators need systems that adapt to a student's individual needs and abilities. Businesses require flexible manufacturing and software design aids to maintain their leadership position in information technology.
Software Risk Management is a proactive approach for minimizing the uncertainty and potential loss associated with a project. A risk is an event or condition that, if it occurs, has a positive or negative effect on a project’s objectives. The three common characteristics of risk are (1) it represents a future event, (2) it has a probability of occurring of greater than 0%, but less than 100%, and (3) the consequence of the risk must be unexpected or unplanned for. Future events can be categorized as opportunity-focused (positive risk) if their consequences are favorable, or as threat-focused (negative risk) if their consequences are unfavorable.
(AI) is a field of study based on the premise that intelligent thought can be regarded as a form of computation—one that can be formalized and ultimately mechanized. To achieve this, however, two major issues need to be addressed. The first issue is knowledge representation, and the second is knowledge manipulation. Within the intersection of these two issues lies mechanized intelligence.
Please click on the attachment below to download the report on Artificial Intelligence And Global Risk
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