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ECONtribute Discussion Paper No. 251Corrupted by Algorithms? How AIgenerated and Humanwritten Advice Shape (Dis)honestyMargarita Leib Marloes HagensAugust 2023Nils Kbis Bernd IrlenbuschRainer Michael
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01
Identify the corrupted data that has been affected by algorithms.
02
Assess the severity and impact of the corruption on the data.
03
Understand the algorithm that caused the corruption and how it operates.
04
Determine the desired outcome or goal for the corrupted data.
05
Analyze the algorithm to find any potential biases or flaws that caused the corruption.
06
Develop a plan to mitigate the corruption and restore the data to its original state.
07
Implement the plan by applying corrective measures or adjusting the algorithm parameters.
08
Monitor the data to ensure that it is no longer corrupted and functions properly.
09
Document the process and any changes made for future reference and analysis.

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01
Data scientists
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Researchers
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Companies dealing with large datasets
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Government organizations
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Anyone working with algorithmic systems and data
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Algorithms can be corrupted by biased data or faulty programming, leading to incorrect outcomes.
Anyone who uses algorithms in decision-making processes.
By ensuring the data used is accurate and the algorithms are programmed correctly.
The purpose is to prevent errors and bias in decision-making processes.
Information about the algorithms used, the data inputs, and the decision outcomes.
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