EAS 203 Lecture Notes - Lecture 4: Luddite, Nick Bostrom, Lifesaving
7 Jun 2018
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UNIT 4 LECTURES
March 13 Lecture
Uses for Human Big Data
- biomedical research, public health
- analyzing and combining data sets- can produce incredible insights in numerous fields
- lots of responsibility
What happens to this data
- who owns or has access on it?
- Consumer receives value (or a service) in exchange for data (ex. Google search)
“Big Data Ethics” Zwitter
- Qualities
o Vast, exponentially growing
o Organic-often not collected scientifically and rigorously
o Global-
o Emphasizes correlation over causation
- Stakeholders in big data
o Collectors
o Utilizers
o Generators
Ethics in the Big Data Lifecycle
- Power/power differentials
- engineers and technical experts are powerful
NSA/FBI Version Top Secret Court Order
- indiscriminate, bulk collection with no warrant or suspect
big data hubris
- implicit assumption that big data are a substitute for, rather than a supplement, to
traditional data collection and analysis
privacy/anonymity
“the right to be forgotten”
- info for public interest vs search engine infringing on privacy of individual by making info
available.
Selling data
- east Japanese railway-
o Collected traveler trip card data
o Sold anonymous age gender and locations of 43M commuters to private
companies
o Private companies were able to figure out identities of the commuters
- TomTom
- Data commerce
What is the role of consent?
- How many levels are consent are needed?
- Should the intended use of the data be transparent?
- Some argue transparency is a competitive advantage.
“With Big Data Comes Big Responsibility”
