Stopczynski, Greenwood, Hansen, and Pentland: Privacy for Personal Neuroinformatics

Arkadiusz Stopczynski; Dazza Greenwood, JD; Professor Dr. Lars Kai Hansen; and Professor Dr. Alex Pentland have posted a working paper entitled Privacy for Personal Neuroinformatics, on SSRN.

Here is the abstract:

Human brain activity collected in the form of Electroencephalography (EEG), even with low number of sensors, is an extremely rich signal raising legal and policy issues. Traces collected from multiple channels and with high sampling rates capture many important aspects of participants’ brain activity and can be used as a unique personal identifier. The motivation for sharing EEG signals is significant, as a mean to understand the relation between brain activity and well-being, or for communication with medical services. As the equipment for such data collection becomes more available and widely used, the opportunities for using the data are growing; at the same time however inherent privacy risks are mounting. The same raw EEG signal can be used for example to diagnose mental diseases, find traces of epilepsy, and decode personality traits. The current practice of the informed consent of the participants for the use of the data either prevents reuse of the raw signal or does not truly respect participants’ right to privacy by reusing the same raw data for purposes much different than originally consented to. Here we propose an integration of a personal neuroinformatics system, Smartphone Brain Scanner, with a general privacy framework openPDS. We show how raw high-dimensionality data can be collected on a mobile device, uploaded to a server, and subsequently operated on and accessed by applications or researchers, without disclosing the raw signal. Those extracted features of the raw signal, called answers, are of significantly lower-dimensionality, and provide the full utility of the data in given context, without the risk of disclosing sensitive raw signal. Such architecture significantly mitigates a very serious privacy risk related to raw EEG recordings floating around and being used and reused for various purposes.

HT @LegalScience

This entry was posted in Applications, Articles and papers, Technology developments and tagged , , , , , , , , , , , , , , , , , . Bookmark the permalink.

One Response to Stopczynski, Greenwood, Hansen, and Pentland: Privacy for Personal Neuroinformatics

  1. Pingback: Greenwood et al.: The New Deal on Data: A Framework for Institutional Controls | Legal Informatics Blog

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s