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IT und Gesellschaft Lecture XI
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- 1Why are Fairness, accountability and tranparency trust-enhancing factorsWithout transparency, can we know, if decision was fair or who is responsible for it?
Is transparency a necessary condition to determine accountability ans fairness in algorithmic system? - 2What are examples of False/True Positives & False/True Negatives?False positve: She must stay in custody even though she poses no threat to society
True positive: She must stay in custody and she is a threat to society
False negative: She can go home even though she poses a risk to society
True negative: She can go home and poses a threat to society - 3Ex anteexplanation before the decision was made
can logically address only systems functionality, as the rationale of a specific decision cannot be known before the decision is made - 4Ex postexplanation after the decision was made
occurs after an automated decision has taken place. Ex post explanation can address both systems functionality and the rationale of a specific deciosion
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- Fairness Accountability & Transparency
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- Creado por Mikael Caselitz · 15 sep 2019
- Copiado por Mikael Caselitz · 24 sep 2019
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