New paper for 2016 #AAAI Spring Symposium in #Stanford
Our article for #AAAI
spring symposium in #Stanford has just been published:
Abstract:
Social media is increasingly populated with bots. To protect
the authenticity of the user-experience machine learning algorithms are used to
detect these bots. Ethical dimensions of these methods have not been thoroughly
considered, yet. Taking histogram analysis of Twitter users' profile images as
example, the paper demonstrates the trade-offs of accuracy, transparency, and
robustness. Because there is no general optimum in ethical considerations,
these dimensions form a "devil's triangle".
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