7143CEM Programming for Data Science

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Programming for Data Science Assignment help

Task 4. Data protection and data ethics (ILO3)
“Arguing that you don’t care about the right to privacy because you have nothing to hide is no different than saying you don’t care about free speech because you have nothing to say.”
— Edward Snowden (2016)

“Just as medieval alchemists were convinced a (mythical) philosopher’s stone can transmute lead into gold, today’s privacy practitioners believe that records containing sensitive individual data can be ‘de-identified’ by removing or modifying [personally identifiable information].”
—.Narayanan and Shmatikov (2010)

The right to privacy is protected by the United Nations 1948 Universal Declaration of Human Rights (see Article 12). Many individuals believe that privacy can only be maintained by greater control over their personal information through “informed consent”. Many organisations believe that “anonymisation” of personal data (data that can be used to identify an individual) allows data to be freely shared while preserving privacy.

(1) Briefly describe (with small examples) ways in which a dataset can be “anonymised” (or “pseudonymised”), considering both quantitative and categorical data.
[5 marks]

(2) Briefly describe a recent UK example of “deductive disclosure” (otherwise known as the “jigsaw effect” or the “mosaic effect”) that had some adverse impact (or had the potential for some adverse impact) upon people. Critically evaluate how the relevant principles in GDPR and the UK Government Data Ethics Framework could (or should) have prevented or mitigated this impact.
[10 marks]

(3) In the age of Big Data, discuss to what extent are “anonymisation” and “informed consent” (both “notice” and “choice”) sufficient to safeguard an individual’s right to privacy. This part invites you to make and defend a judgement or recommendation.
[10 marks]

By |2023-02-23T07:52:44+00:00February 23rd, 2023|Categories: database|Tags: |0 Comments

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