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Transparency and Interpretability Responsible Data Science DSA 202 and DSA 1017 Compiled by Julia Jovanovich This reader contains selected articles on responsibility transparency and interpretability.
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What is transparency and interpretability?
Transparency and interpretability refer to the ability to clearly understand and explain how a certain process or decision was made.
Who is required to file transparency and interpretability?
In most cases, organizations or individuals involved in decision-making processes are required to file transparency and interpretability.
How to fill out transparency and interpretability?
Transparency and interpretability can be filled out by providing detailed documentation and explanations of the decision-making process.
What is the purpose of transparency and interpretability?
The purpose of transparency and interpretability is to promote accountability and ensure that decisions are made in a fair and unbiased manner.
What information must be reported on transparency and interpretability?
Information such as data sources, algorithms used, decision criteria, and any potential biases must be reported on transparency and interpretability.
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