Papers - Tene et al. - Big Data for All_ Privacy and User Control in the Age of Analytic
5 important questions on Papers - Tene et al. - Big Data for All_ Privacy and User Control in the Age of Analytic
What are the big data privacy risks according to Tene et al?
- Incremental Effect
- Automated Decision Making
- Predictive Analysis
- Lack of Access and Exclusion
- Ethics
- Chilling Effect (people will behave differently when they know they are tracked)
What are the challenges related to the current legal frameworks for privacy?
- De-identification - over the past few years, computer scientists have shown that even anonymised data can be re-identified and associated with specific individuals
- Data minimizing - when considering the fate of data minimising, the principles of privacy laws must be balanced against societal values and economic efficiency
- Individual Control and Context
What are the two solutions, according to Tene et al, that can be realised while relaxing data minimisation and individual consent?
- Organisations should share the wealth created by individuals data with those individuals in usable formats.
- Organisations should reveal the criteria used in ther decision making process (TRANSPARENCY)
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How would 'sharing the wealth' work as a solution to the privacy risks, and where is this access most needed?
What are some complexities one must take into account when choosing for the Solution; Transparency?
Legal and business Complexities regarding extended transparency and access:
- Indiviual Access to large databases with zettabytes of De-identified data is unpractical.
- Direct online accessiblity to data = high costs and strong authentication
- Data security risks of leakage and unauthorised only gets bigger.
- Intellectual property and antitrust problems
The question on the page originate from the summary of the following study material:
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