Privacy Invasion or Innovative Science?
- Type
- Slides
- Tags
- privacy
- Authors
- Conrad Lee
- Event
- Chaos Communication Congress 28th (28C3) 2011
- Indexed on
- Mar 27, 2013
- URL
- http://events.ccc.de/congress/2011/Fahrplan/attachments/1997_lee-privacy-science.pdf
- File name
- 1997_lee-privacy-science.pdf
- File size
- 2.2 MB
- MD5
- 88b3662776641a33c5a923e810570787
- SHA1
- f554ec4a3de1a15c4e4c315c65b1d654a208de8c
A practical discussion of how potentially revolutionary, yet ethically questionable data---such as that from facebook---is currently being handled in academia. With every day that passes, the users of social media websites are providing scientists with ever-richer, larger datasets on human behavior. At the same time, machine-learning techniques allow us to exploit this data to accurately predict who these users are and how they will behave in the future. I begin this talk by outlining the need for public datasets containing rich information on individuals and their social relations. I then show how in practice, distribution and use of such datasets by academics is awkward and confused. I conclude with some consideration of how "enhancing" datasets by, for example, inferring missing or hidden data using machine learning classifiers, creates yet another ethical grey-zone.
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