ICST 2021 (series) / ITEQS 2021 (series) / ITEQS 2021 /
Assuring Fairness of Algorithmic Decision Making
Assuring fairness of an algorithmic decision making (ADM) system is a challenging task involving different and possibly conflicting views on fairness as expressed by multiple fairness measures. We argue that a combination of the agile development framework Acceptance Test-Driven Development (ATDD) and the concept of Assurance Cases from safety engineering is a pragmatic way to assure fairness levels that are adequate for a predefined application. The approach supports examinations by regulating bodies or related auditing processes by providing a structured argument explaining the achieved level of fairness and its sufficiency for the application.
Mon 12 AprDisplayed time zone: Brasilia, Distrito Federal, Brazil change
Mon 12 Apr
Displayed time zone: Brasilia, Distrito Federal, Brazil change
11:45 - 12:45 | |||
11:45 30mFull-paper | Assuring Fairness of Algorithmic Decision Making ITEQS A: Marc Hauer TU Kaiserslautern - Algorithm Accountability Lab , A: Rasmus Adler Fraunhofer IESE, A: Katharina Zweig TU Kaiserslautern - Algorithm Accountability Lab | ||
12:15 30mFull-paper | Enabling Fast Exploration and Validation of Thermal Dissipation Requirements for Heterogeneous CPU Platforms ITEQS A: Joel Öhrling Abo Akademi University, A: Dragos Truscan Åbo Akademi University, A: Sebastien Lafond Åbo Akademi University |