A practical risk management framework for intelligent information systems

Wang, X; Williams, MA

A practical risk management framework for intelligent information systems

Wang, X

Williams, MA

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Publication Type:: Conference Proceeding
Citation:: PACIS 2010 - 14th Pacific Asia Conference on Information Systems, 2010, pp. 1866 - 1873
Issue Date:: 2010-12-01

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Field	Value	Language
dc.contributor.author	Wang, X https://orcid.org/0000-0002-7459-1670	en_US
dc.contributor.author	Williams, MA https://orcid.org/0000-0002-1047-0503	en_US
dc.date.issued	2010-12-01	en_US
dc.identifier.citation	PACIS 2010 - 14th Pacific Asia Conference on Information Systems, 2010, pp. 1866 - 1873	en_US
dc.identifier.uri	http://hdl.handle.net/10453/30926
dc.description.abstract	This paper reports progress towards the development of a practical risk analysis and management framework for intelligent information systems based on the state-of-art techniques in uncertainty management. We provide an analysis of challenges raised by the need to manage risk and identify a set of key requirements for a practical framework that can support risk management in real environments that are open, complex and dynamic. We assess a number of relevant theories, approaches and techniques for their suitability in addressing the risk management challenges. Finally, we present our current multi-level risk analysis and modelling framework, and use benchmark problems in two entirely different domains to illustrate the broad range of our framework applicability.	en_US
dc.relation.ispartof	PACIS 2010 - 14th Pacific Asia Conference on Information Systems	en_US
dc.title	A practical risk management framework for intelligent information systems	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
dc.location.activity	Tapei, Taiwan
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

This paper reports progress towards the development of a practical risk analysis and management framework for intelligent information systems based on the state-of-art techniques in uncertainty management. We provide an analysis of challenges raised by the need to manage risk and identify a set of key requirements for a practical framework that can support risk management in real environments that are open, complex and dynamic. We assess a number of relevant theories, approaches and techniques for their suitability in addressing the risk management challenges. Finally, we present our current multi-level risk analysis and modelling framework, and use benchmark problems in two entirely different domains to illustrate the broad range of our framework applicability.

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http://hdl.handle.net/10453/30926