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IT und Gesellschaft Lecture XI

Mikael Caselitz Deutsch 4 Karten

Karten in diesem Stapel (4)

  1. 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?
  2. 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
  3. 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
  4. 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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Beschreibung
Fairness Accountability & Transparency
Erstellt von
Mikael Caselitz
Aufrufe
10
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