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This shows that the failure in reproducing an external classification may indicate a genuinely more complicated organization within the system, in addition to the lack of data or algorithmic mistakes.
Eva Tardos: Algorithms, algorithmic game theory.
Algorithmic systems have a way of making mistakes or leading to undesired consequences.
If there are EBM proponents who thinks that medical practice can be reduced to an algorithmic application of evidence from RCTs, they are certainly mistaken.[ 37] Because we wished to clarify the debate about EBM, we have spent the bulk of this paper exploring the second-order conceptual questions concerning the nature of EBM.
A mistake made by a human curator, or an algorithmic extraction method, is unlikely to ever be verified by an expert familiar with the original experiment, which means that even if the provenance of the data is recorded (i.e. a citation to the original source), it is statistically improbable that it will be verified once it is incorporated into a database.
Dietvorst, Simmons and Massey did find some good news for algorithms that make mistakes: In another study the authors report that participants were more accepting of algorithmic errors and more likely to choose to use an algorithm over a human when they could modify its forecasts.
The disadvantage of pipeline approaches, however, is that algorithmic choices and tuning parameters at each step may produce very different results, and mistakes or biases are propagated forward.
The presence of algorithmic trading and HFT in the financial markets exacerbates the adverse impacts of trading-related mistakes.
They arrive with algorithmic regularity.
We need an "algorithmic culture".
Algorithmic Fairness.
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