1 / 14

Neurodata and surveillance

International Conference on Security, Ethics and Justice. Tübingen , 23.06.2012. Neurodata and surveillance. Dara Hallinan & Philip Schütz Fraunhofer Institute for Systems and Innovation Research. Source: http://psychophysiology.blogspot.de/2009_10_01_archive.html. Overview.

ivan
Download Presentation

Neurodata and surveillance

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. International Conference on Security, Ethics and Justice Tübingen, 23.06.2012 Neurodata and surveillance • DaraHallinan & Philip Schütz • Fraunhofer Institute for Systems and Innovation Research Source: http://psychophysiology.blogspot.de/2009_10_01_archive.html

  2. Overview • What is neurodata? How is it collected? • Areas of applications, surveillance and security potentials • How neurodata engages Data Protection • Unique characteristics of neurodata • Significance of these differences

  3. WHAT IS NEURODATA?

  4. Functional magnetic resonance imaging (fMRI) Measuring brain activity by depicting changes in blood flow Pure imaging technology Expansive, immobile and difficult-to-use Medical and neuro-marketing application areas Source: http://www.readingresearch.kennedykrieger.org/fMRIs.html

  5. Electroencephalography (EEG) Detecting and recording specific brain activities by measuring electrical impulses Imaging and steering technology Low priced, mobile and easy-to-use Applications: Mental type-writer, Brain2Robot, Games Source: http://www.experimentation-online.co.uk/article.php?id=1253

  6. Source: http://scientopia.org/blogs/scicurious/2010/06/16/what-does-that-mri-signal-mean-anyway/ Source: http://www.dizziness-and-balance.com/disorders/central/epileptic.html

  7. The Value of Neurodata • Cognitive science provides ever deeper insight into brain as set of systems • Neurodata has value in all contexts of activity related to decision-making and actions of individuals • BUT: Exaggerated expectations • Technological determinism

  8. Use Contexts • Initial use and development in medical contexts • Use contexts now expanding to • Marketing • Games • Law enforcement • Military/intelligence services

  9. Neurodata in the security discourse • Authentication and Identification • Neuro-imaging in criminal proceedings as • Neuro lie detector • Proof for (in-)sanity (diminished vs. full responsibility) of the suspect • Revelation of secrets or prediction of behaviour (precrime)

  10. Unique Qualities of Neurodata • Neurodata and the brain as information • Alteration in the relationship between the individual and representative data • Level of insight into the individual, potential to predict • Neurodata enables novel aspects of the individual to be represented in informatic form

  11. Neurodata in a Conventional Data System • Data protection framework and concepts shaped by context of relevance and directed development • Focus on systems of processing rather than changes in characteristics of data – limited concept of data – neurodata has unique characteristics in data • Definition of data key to substance to be controlled • Forms keystone of framework • Balance and mechanics dependant on applicability of definition • Not certain whether application of framework to processing of neurodata will achieve aims of framework

  12. Data Protection and Autonomy • Data Protection framework relies on undefined concept of autonomy • Neurodata offers different form of data-based interaction with individual • Not based on traditional informatic representations of the individual but on the analysis of systems ‘behind’ the individual • Level of insight into, and power over, the individual may be unique - protection rules may not achieve desired ends • Even if this shift were recognised, which principles could be applied?

  13. Data Protection in a Community of Rights • Data Protection transfers particular set of principles onto data sphere and processing actions – which principles is based on conception of nature of data • Neurodata focuses on the brain – a conceptually different space, with different applicable principles • Could the same framework be extended to broader relevance • data protection has developed substance and meaning in relation to development context • on which principles would one base an extension?

  14. Conclusion • Neurodata-based technologies expanding in use contexts and sophistication • Neurodata has significant value • Neurodata has unique characteristics and link with the individual • The application of the current framework may not achieve desired ends • The novel features of the data may not fit the conception in the framework • The brain as a source of data poses unique issues

More Related