Managing the false alarms: A framework for assurance and verification of surveillance monitoring

This article discusses methods to support assurance of surveillance monitoring and compliance verification knowledge management (CV-KM). The discussion includes aspects of primary monitoring systems, the different environments in which they operate, the verification problem solving and decision making tasks, the problem structure, and the coordination of the review process to facilitate truth maintenance and regulatory Meta rules. Based on the ALCOD (Alert Coding) prototype developed with the Surveillance Division of the Australian Stock Exchange (ASX), the surveillance operation is considered a primary monitoring function with the analysis of the resulting output the second-tier monitoring function—the assurance component.

[1]  D. M. Green,et al.  Signal detection theory and psychophysics , 1966 .

[2]  Jacob Cohen,et al.  Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. , 1968 .

[3]  Herbert A. Simon,et al.  The Structure of Ill Structured Problems , 1973, Artif. Intell..

[4]  J. Fleiss Statistical methods for rates and proportions , 1974 .

[5]  Herbert A. Simon,et al.  The new science of management decision , 1960 .

[6]  Henk Sol,et al.  Simulation in information systems development. , 1982 .

[7]  Frederick Hayes-Roth,et al.  Building expert systems , 1983, Advanced book program.

[8]  L. Zadeh The role of fuzzy logic in the management of uncertainty in expert systems , 1983 .

[9]  Ken T. Trotman,et al.  The Review Process And The Accuracy Of Auditor Judgments , 1985 .

[10]  Robert Libby,et al.  Availability And The Generation Of Hypotheses In Analytical Review , 1985 .

[11]  John H. Boose,et al.  A Knowledge Acquisition Program for Expert Systems Based on Personal Construct Psychology , 1985, Int. J. Man Mach. Stud..

[12]  E. F. Wolstenholme Algorithmic control modules for system dynamics models , 1986 .

[13]  John H. Boose,et al.  Expertise transfer for expert system design , 1986 .

[14]  I. Dekieer An assumption-based truth maintenance system , 1986 .

[15]  Johan de Kleer,et al.  An Assumption-Based TMS , 1987, Artif. Intell..

[16]  Andrew B. Whinston,et al.  Knowledge-based organizations , 1987, Inf. Soc..

[17]  Ingo Ruhmann,et al.  KRITON: A Knowledge-Acquisition Tool for Expert Systems , 1987, Int. J. Man Mach. Stud..

[18]  Henry H. Rueter,et al.  Extracting expertise from experts: Methods for knowledge acquisition , 1987 .

[19]  Frances J. Milliken,et al.  Challenger: Fine-Tuning the Odds Until Something Breaks , 1988 .

[20]  Alan H. Bond,et al.  Readings in Distributed Artificial Intelligence , 1988 .

[21]  Roger A. Clarke,et al.  Information technology and dataveillance , 1988, CACM.

[22]  J. Keith Ord,et al.  Improving and Measuring the Performance of a Securities Industry Surveillance System , 1990 .

[23]  Kenneth A. Kozar,et al.  Discourse Analysis for Knowledge Acquisition: The Coherence Method , 1990, J. Manag. Inf. Syst..

[24]  Elizabeth Byrnes,et al.  Inspector: An Expert System for Monitoring Worldwide Trading Activities in Foreign Exchange , 1990, IAAI.

[25]  Roy S. Freedman,et al.  A knowledge-based methodology for tuning analytical models , 1991, IEEE Trans. Syst. Man Cybern..

[26]  Roy S. Freedman,et al.  AI on Wall Street , 1991, IEEE Expert.

[27]  M. Vasarhelyi THE CONTINUOUS AUDIT OF ONLINE SYSTEMS , 1991 .

[28]  Nancy Martin,et al.  Finding method in Madness , 1991, IEEE Expert.

[29]  Daniel E. O'Leary Artificial Intelligence and Expert Systems in Accounting Databases: Survey and Extensions , 1991 .

[30]  Y. I. Liou,et al.  Knowledge acquisition: issues, techniques and methodology , 1992, DATB.

[31]  Varghese S. Jacob,et al.  A framework for supporting distributed group decision-making , 1992, Decis. Support Syst..

[32]  John A. Major,et al.  EFD: A hybrid knowledge/statistical‐based system for the detection of fraud , 1992, Int. J. Intell. Syst..

[33]  Yan Jin,et al.  i-AGENTS: Modeling Organizational Problem Solving in Multi-Agent Teams , 1993 .

[34]  David L. Kleinman,et al.  Tasks and Organizations: A Signal Detection Model of Organizational Decision Making , 1993 .

[35]  Ken T. Trotman,et al.  The review process as a control for differential recall of evidence in auditor judgments , 1993 .

[36]  Andrew B. Whinston,et al.  Multi-auditor cooperation: a model of distributed reasoning , 1993 .

[37]  Michael J. Shaw,et al.  Distributed artificial intelligence for group decision support : Integration of problem solving, coordination, and learning , 1993, Decision Support Systems.

[38]  Roy S. Freedman,et al.  Market Analysis for Risk Management and Regulation: An Artificial Intelligence Approach , 1995 .

[39]  Gary V. Howorka,et al.  A Computational Model of Coordination for the Design of Organizational Decision Support Systems , 1995 .

[40]  Ted E. Senator,et al.  The Financial Crimes Enforcement Network AI System (FAIS) Identifying Potential Money Laundering from Reports of Large Cash Transactions , 1995, AI Mag..

[41]  向井 篤弘 Artificial Intelligence and Expert Systems in Accounting , 1995 .

[42]  Peter G. Neumann,et al.  Experience with EMERALD to Date , 1999, Workshop on Intrusion Detection and Network Monitoring.

[43]  L. Zadeh Fuzzy sets as a basis for a theory of possibility , 1999 .

[44]  P. Goldschmidt Assurance and Compliance Monitoring Support , 2001 .

[45]  J E Strutt,et al.  What limits the ability of design organizations to predict failure? , 2001 .

[46]  Saeed J. Roohani Trust and Data Assurances in Capital Markets: The Role of Technology Solutions , 2003 .

[47]  Daniel E. O'Leary,et al.  Expert system verification and validation: a survey and tutorial , 1993, Artificial Intelligence Review.

[48]  Marcel Zeelenberg,et al.  On bad decisions and deciding badly: When intention-behavior inconsistency is regrettable , 2005 .

[49]  Peter Goldschmidt Supporting Assurnace and Compliance Monitoring , 2005, Encyclopedia of Information Science and Technology.

[50]  S. Debowski Knowledge Management , 2005 .

[51]  George P. Richardson,et al.  Threshold setting and the cycling of a decision threshold , 2006 .

[52]  Lorne Olfman,et al.  A Model of Knowledge Management Success , 2006, Int. J. Knowl. Manag..

[53]  Murray E. Jennex,et al.  Towards Defining Knowledge Management Success , 2007, 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07).