2018
DOI: 10.1007/s10551-018-3921-3
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Ethical Implications and Accountability of Algorithms

Abstract: Algorithms silently structure our lives. Algorithms can determine whether someone is hired, promoted, offered a loan, or provided housing as well as determine which political ads and news articles consumers see. Yet, the responsibility for algorithms in these important decisions is not clear. This article identifies whether developers have a responsibility for their algorithms later in use, what those firms are responsible for, and the normative grounding for that responsibility. I conceptualize algorithms as … Show more

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Cited by 348 publications
(314 citation statements)
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References 39 publications
(42 reference statements)
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“…Thus, regulation needs to go beyond ex-ante or ex-post explanations to look across and continuously review the entire system's inputs, outputs and logic as algorithms are being updated with new data [156]. Algorithmic transparency should also target the type of decision being made and empower its observers to understand, challenge and improve the relations between humans and the algorithms across the system [47,157,158]. Furthermore, currently lacking in the development of smart cities is greater citizen engagement in designing and implementing technological solutions, which is critical to yield truly inclusive smart cities [27,159].…”
Section: Discussionmentioning
confidence: 99%
“…Thus, regulation needs to go beyond ex-ante or ex-post explanations to look across and continuously review the entire system's inputs, outputs and logic as algorithms are being updated with new data [156]. Algorithmic transparency should also target the type of decision being made and empower its observers to understand, challenge and improve the relations between humans and the algorithms across the system [47,157,158]. Furthermore, currently lacking in the development of smart cities is greater citizen engagement in designing and implementing technological solutions, which is critical to yield truly inclusive smart cities [27,159].…”
Section: Discussionmentioning
confidence: 99%
“…Although distributive fairness was the most commonly discussed type of fairness, there was variation in the depth in these papers regarding organizational justice theory, some drawing on it heavily (e.g., Brown et al, 2019;Grgić-Hlača et al, 2018;Ötting & Maier, 2018) and others mentioning it more briefly in a larger discussion of fairness (e.g., Lee & Baykal, 2017;Martin, 2018). Overall, the AI literature only examined one of the traditional ways of assessing distributive fairness, and within this traditional assessment approach, fairness was largely implemented in one of two ways: through mathematically validated algorithms and through standards set by legal documents.…”
Section: Ai and Distributive Fairnessmentioning
confidence: 99%
“…The development of a rigorous safety standards and establishing safety certification processes for algorithms is necessary in a future where more autonomous robots enter society [46]. Establishing standards is the most effective method to ensure high levels of product safety and provide certainty ex-ante to producers who align with them [47].…”
Section: Possible Solutions To the Dilemma Of Liabilitiesmentioning
confidence: 99%