This is the second part in a short series of posts on predictive algorithms and the virtues of transparency. The series is working off some ideas in Tal Zarsky’s article “Transparent Predictions”. The series is written against the backdrop of the increasingly widespread use of data-mining and predictive algorithms and the concerns this has raised.
Transparency is one alleged “solution” to these concerns. But why is transparency deemed to be virtuous in this context? Zarksy’s article suggests four possible rationales for transparency. This series is reviewing all four. Part one reviewed the first, according to which transparency was virtuous because it helped to promote fair and unbiased policy-making. This part will review the remaining three.