Contestable Black Boxes

Aler Tubella, Andrea,1990-Umeå universitet,Institutionen för datavetenskap,Responsible Artificial Intelligence (författare)

The right to contest a decision with consequences on individuals or the society is a well-established democratic right. Despite this right also being explicitly included in GDPR in reference to automated decision-making, its study seems to have received much less attention in the AI literature compared, for example, to the right for explanation. This paper investigates the type of assurances that are needed in the contesting process when algorithmic black boxes are involved, opening new questions about the interplay of contestability and explainability. We argue that specialised complementary methodologies to evaluate automated decision-making in the case of a particular decision being contested need to be developed. Further, we propose a combination of well-established software engineering and rule-based approaches as a possible socio-technical solution to the issue of contestability, one of the new democratic challenges posed by the automation of decision making.

Theodorou, AndreasUmeå universitet,Institutionen för datavetenskap(Swepub:umu)anth2768 (författare)
Dignum, Virginia,ProfessorUmeå universitet,Institutionen för datavetenskap(Swepub:umu)vidi0004 (författare)
Michael, Loizos (författare)
Umeå universitetInstitutionen för datavetenskap (creator_code:org_t)

Ingår i:Rules and Reasoning. RuleML+RR 2020.Cham : Springer, s. 159-16797830305797779783030579760

Av författaren/redakt...: Aler Tubella, An ...; Theodorou, Andre ...; Dignum, Virginia ...; Michael, Loizos

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