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Risks of Discrimination through the Use of Algorithms. A study compiled with a grant from the Federal Anti-Discrimination Agency

Orwat, C. ORCID iD icon

Abstract (englisch):

Algorithms, including artificial intelligence, are used in a variety of ways to differentiate people, services, products or positions. This study uses examples to illustrate the technical and organisational causes of discrimination risks and analyses the resulting forms of discrimination. Its particular focus is on the social risks from algorithmic differentiation and automated decision-making, including injustice by generalisation, treatment of people as mere objects, restrictions on the free development of personality and informational self-determination, accumulation effects and growing inequality as well as risks to societal goals of equality or social policy. In these cases, there is a need for reforms of the anti-discrimination and data protection law, but also for societal considerations and definitions of which kinds of algorithmic differentiations are considered acceptable in a society in order to protect fundamental rights and values. Last but not least, the study discusses tasks for anti-discrimination agencies and equality bodies, ranging from the identification and proof of algorithm-based discrimination to preventive and cooperative actions.

Volltext §
DOI: 10.5445/IR/1000123477
Veröffentlicht am 22.01.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technikfolgenabschätzung und Systemanalyse (ITAS)
Publikationstyp Forschungsbericht/Preprint
Publikationsjahr 2020
Sprache Englisch
Identifikator KITopen-ID: 1000123477
HGF-Programm 48.01.01 (POF III, LK 01) Innovation Processes+impacts of Technol.
Verlag Federal Anti-Discrimination Agency
Umfang 122 S.
Bemerkung zur Veröffentlichung September 2019, first edition (German)
Externe Relationen Siehe auch
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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