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SmartData: The Need, the Goal and the Challenge

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SmartData

Abstract

Technology must form an integral component in the defense of our personal privacy. Policies and regulations will serve, at best, as lagging remedies in the fast-paced world of cyberspace. In a world where personal information can increasingly be transmitted and used in multiple locations simultaneously, protecting privacy may only truly be accomplished if the information itself becomes “intelligent” and capable of making appropriate decisions relating to its release, on behalf of the data subject. In other words, the data must become smart—we need SmartData. This presentation will discuss the growing need, the challenges, and ultimately, the benefits of developing intelligent agents to protect our privacy online.

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Notes

  1. 1.

    Somatic refers to a body. We will define below what a body is in cyberspace.

  2. 2.

    Actually, nature did not select for, it selected against, by virtue of decreased offspring relative to other individuals.

  3. 3.

    We say “by necessity” because, if for example, an agent evolved an additional limb which it did not use, it would only serve as an additional energy drain (weight, metabolism, etc.) without a concomitant benefit. Therefore, it would be selected against.

  4. 4.

    In this case, it is more accurate to label it a supervised learning/memorizing process. The parsing is a learning process while the attachment of a lexicon code is memorization.

  5. 5.

    Henceforth, I will refer to “overall needs, preferences, and previous actions of the data subject together with the feedback from the environment relative to the specific action” as embodied needs.

  6. 6.

    By actions, I do not mean physical actions alone but also “mental actions” such as thought or listening to someone speak. In the case of speech, what I have just heard in the immediate past serves as the benchmark to score the significance of what I am hearing now and therefore alters the landscape such that what I hear in the future will be contextually biased.

References

  1. Cavoukian, A. (2006). Creation of a Global Privacy Standard (pp. 4).

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  2. Cavoukian, A. (2012). Why are We Here Today? Privacy and the Promise of SmartData. IPSI SmartData International Symposium, Toronto, Ontario.

    Google Scholar 

  3. Lenat, D. (1998). The dimensions of context-space. CYCorp Report.

    Google Scholar 

  4. Llinas (2001), R.R., I of the Vortex: From neuron to self, MIT Press Cambridge Mass.

    Google Scholar 

  5. Vapnik, V.N. and Chervonenkis, A. Y, (1971) On the uniform convergence of relative frequencies of events to their probabilities, Theory of Probability and its Applications, 16, pp. 264–280.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Identity, Privacy and Security Institute (IPSI), Expert-in-Resident, University of Toronto, Toronto, ON, Canada

    George Tomko

Authors
  1. George Tomko
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Correspondence to George Tomko .

Editor information

Editors and Affiliations

  1. , School of Informatics, University of Sussex, Sussex House, Brighton, BN1 9QJ, United Kingdom

    Inman Harvey

  2. Privacy Commissioner of Ontario, Office of the Information and, Bloor Street, Toronto, M4W 1A8, Ontario, Canada

    Ann Cavoukian

  3. , Identity, Privacy and Security Initiativ, University of Toronto, King's College Circle, Toronto, M5S 3G4, Ontario, Canada

    George Tomko

  4. , Department of Medicine, University of Toronto, King's College Circle, Toronto, M5S 3G4, Ontario, Canada

    Don Borrett

  5. , Department of Neurophysiology, University of Toronto, King's College Circle, Toronto, M5S 3G4, Ontario, Canada

    Hon Kwan

  6. , Electrical and Computer Engineering, University of Toronto, King's College Circle, Toronto, M5S 3G4, Ontario, Canada

    Dimitrios Hatzinakos

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© 2013 Springer Science+Business Media New York

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Tomko, G. (2013). SmartData: The Need, the Goal and the Challenge. In: Harvey, I., Cavoukian, A., Tomko, G., Borrett, D., Kwan, H., Hatzinakos, D. (eds) SmartData. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6409-9_2

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  • DOI: https://doi.org/10.1007/978-1-4614-6409-9_2

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-6408-2

  • Online ISBN: 978-1-4614-6409-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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