Building Accountability for Decision-Making into Cognitive Systems

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 206)

Abstract

This paper lays out a theoretical framework for engineering accountability for decision-making into cognitive systems, based on a combination of theories from the fields of archival and cognitive science, and demonstrates the application of this framework in a prototype cognitive system - an interactive visual dashboard for fixed income analytics.

Keywords

cognitive systems engineering cognitive science archival science records accountability 

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References

  1. 1.
    Kelly, J.E.: Welcome to the era of cognitive systems (May 10, 2012), http://asmarterplanet.com/blog/2012/05/welcome-to-the-era-of-cognitive-systems.html
  2. 2.
    Computing Research Association. Grand Research Challenges in Information Systems. CRA, Washington, D.C. (2002) Google Scholar
  3. 3.
    Thomas, J.J., Cook, K.: Illuminating the path: the research and development agenda for visual analytics. IEEE Computer Society, Los Alamitos (2005)Google Scholar
  4. 4.
    Kosslyn, S.M.: Image and Mind. Harvard University Press, Cambridge (1980)Google Scholar
  5. 5.
    Lurie, N.H., Mason, C.: Visual representation: implications for decision making. J. Mark. 71, 160–177 (2007)CrossRefGoogle Scholar
  6. 6.
    Ward, M., Grinstein, G., Keim, D.: Interactive data visualization: foundations, techniques, and applications. AK Peters/CRC Press, Massachusetts (2010)Google Scholar
  7. 7.
    Munzner, T.: Visualization. In: Ashikhminand, S.P., Marshner, S. (eds.) Fundamental of Graphics, 3rd edn. AK Peters/CRC Press, Massachusetts (2009)Google Scholar
  8. 8.
    Tegarden, D.P.: Business visualization. Commun. Assoc. Inf. Sys. 1, 2–38 (1999)Google Scholar
  9. 9.
    Tukey, J.W.: Exploratory Data Analysis. Addison-Wesley, N.Y. (1977)MATHGoogle Scholar
  10. 10.
    Cooley, J.G., McKneely, J.A.B.: Command and Control Systems Engineering: Integrating Rapid Prototyping and Cognitive Engineering. Johns Hopkins APL Technical Digest 31(1), 31–42 (2012)Google Scholar
  11. 11.
    Gratton, L.: The shift: The future of work is already here. HarperCollins, London (2011)Google Scholar
  12. 12.
    Thagard, P.: Cognitive Architectures. In: Frankish, K., Ramsey, W.M. (eds.) The Cambridge Handbook of Cognitive Science. Cambridge University Press, Cambridge (2012)Google Scholar
  13. 13.
    Oaksford, L., Chater, N., Steward, N.: Reasoning and Decision-Making. In: Frankish, K., Ramsey, W.M. (eds.) The Cambridge Handbook of Cognitive Science. Cambridge University Press, Cambridge (2012)Google Scholar
  14. 14.
    Fellbaum, C. (ed.): WordNet: An Electronic Lexical Database, vol. 147, pp. 195–197. MIT Press, Cambridge (1981)Google Scholar
  15. 15.
    Hoskins, K.: The ‘Awful’ Idea of Accountability: Inscribing People into the Measurement of Objects. In: Munro, R., Mouritsen, J. (eds.) Accountability: Power, Ethos and Technologies of Managing. International Thompson Business Press, London (1996)Google Scholar
  16. 16.
    Stewart, J.D.: The Role of Information in Public Accountability. In: Hopwood, A., Tomkins, C. (eds.) Issues in Public Sector Accounting. Philip Allen, Oxford (1984)Google Scholar
  17. 17.
    InterPARES 2 Terminology Database, http://www.interpares.org/ip2/ip2_terminology_db.cfm
  18. 18.
    Duranti, L.: New uses for an old science. SAA, ACA, and Scarecrow Press, Chicago (1998)Google Scholar
  19. 19.
    Yeo, G.: Concepts of record (1): evidence, information, and persistent representations. American Archivist 70(2), 315–343 (2007)Google Scholar
  20. 20.
    Yeo, G.: Concepts of record (2): prototypes and boundary objects. American Archivist 71(1), 118–143 (2008)Google Scholar
  21. 21.
    Reed, B.: Records. In: McKemmish, S., Piggott, M., Reed, B., Upward, F. (eds.) Archives: Recordkeeping in Society, pp. 101–130. Charles Sturt University, Centre for Information Studies, WaggaWagga NSW (2005)Google Scholar
  22. 22.
    Duranti, L.: The archival bond. Arch. Mus. Informatics 11, 213–218Google Scholar
  23. 23.
    Gotz, D., Zhou, M.: Characterizing users’ visual analytic activity for insight provenance. In: Proc. Visual Analytics Science and Technology, pp. 123–130 (2008)Google Scholar
  24. 24.
    Kadivar, N., Chen, V., Dunsmuir, D., Lee, E., Qian, C., Shaw, C., Woodbury, R.: Capturing and supporting the analytic process. IEEE Visual Analytics Science and Technology, 131–138 (2009)Google Scholar
  25. 25.
    Klein, G., Moon, B., Hoffman, R.R.: Making Sense of Sensemaking 1: Alternative Perspectives. IEEE Intelligent Systems 21(4), 7–73 (2006)Google Scholar
  26. 26.
    Pirolli, P., Card, S.K.: Information Foraging. Psychological Review 106(4), 643–675 (1999)CrossRefGoogle Scholar
  27. 27.
    Chen, V., Alimadadi, S., Guenther, J., Kadivar, N., Lee, E., Dill, J., Woodbury, R.: CZSaw [computer software], http://siat.sfu.ca
  28. 28.
    Chen, Y., Yang, J., Ribarsky, W.: Toward Effective Insight Management in Visual Analytic Systems. In: Visualization Symposium, PacificVis 2009, pp. 49–56. IEEE Pacific (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.iSchool@UBC 4th Floor, I.K. Barber Learning CentreUniversity of British ColumbiaVancouverCanada

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