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Analytics: Wie geht man mit ethischen Fragen um?

Interessanter Artikel über den Umgang mit ethischen Fragen beim Datenmanagement.

To a casual observer, many ethical debates about data might sound familiar. One doesn’t have to engage deeply, however, before it becomes clear that contemporary informatics have radically reshaped the way we think about traditional concepts (table 1).
Privacy is an excellent example. Following revelations on the controversial use of personal social media data for political campaign efforts, privacy has come to dominate popular debate about social and political communication online. This has highlighted the ease with which personal data can be collected, used, shared, and even sold without individuals’ knowledge. It also has reinforced the popular claim that digital privacy applies not only to the content of messages and personal information, but to metadata on when, how, and with whom individuals interact.

This kind of data is common to all kinds of digital interactions. Digital traces are created any time a person logs into a government website, receives a digital service, or answers a survey on their phone. These interactions need not involve users explicitly supplying information, but data about the interaction itself is logged and can be traced back to users. Often these interactions are premised with some kind of agreement to provide that data, but recent controversies illustrate just how tenuous that permission often is, and just how important people feel it is to exercise control over any type of data in which they are reflected.
These dynamics recall the concept of consent. Classically understood in terms of academic and scientific research on human subjects, the idea of consent has taken a distinct turn in the context of social media and interactions online. Not only is consent often more implied than given, the potential for informed consent is complicated by the fact that it has become virtually impossible to anticipate all the ways in which personal information can be used, shared, and compromised. Instant duplication and sharing are some of the greatest strengths data offers to government innovation, but these advantages also completely undermine the presumption that it is possible to control how data might be used, or by whom. The internet never forgets, yet from a data protection perspective, it is also wildly unpredictable.

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