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Decision Provenance: Harnessing Data Flow for Accountable Systems
IEEE Access, 2019 Demand is growing for more accountability regarding the technological systems that increasingly occupy our world. However, the complexity of many of these systems—often systems-of-systems—poses accountability challenges.
Jatinder Singh +2 more
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Algorithmic Impact Assessments and Accountability [PDF]
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 2021 Algorithmic impact assessments (AIAs) are an emergent form of accountability for organizations that build and deploy automated decision-support systems. They are modeled after impact assessments in other domains. Our study of the history of impact assessments shows that "impacts" are an evaluative construct that enable actors to identify and ameliorate
Jacob Metcalf +4 more
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Beyond mystery: Putting algorithmic accountability in context
Big Data & Society, 2019 Critical algorithm scholarship has demonstrated the difficulties of attributing accountability for the actions and effects of algorithmic systems. In this commentary, we argue that we cannot stop at denouncing the lack of accountability for algorithms ...
Elizabeth Reddy +2 more
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Redress and worldmaking: Differing approaches to algorithmic reparations for housing justice
Big Data & Society, 2023 A reparative approach to algorithmic justice provides a compelling alternative to existing fairness-based frameworks, which are often inadequate for challenging the technological perpetuation of unjust social hierarchies. The definition of “reparations,”
Aurora Zhang
doaj +1 more source
Journal of Open Innovation: Technology, Market and ComplexityThis study examines how perceived fairness, accountability, and transparency of OTA algorithms influence continuous usage intention through algorithmic legitimacy and whether price sensitivity moderates this relationship.
Hongyoul Choi
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Algorithmic Accountability for Record Linkage
International Journal of Population Data ScienceThis session will examine record linkage approaches through the lens of principles for algorithmic accountability: responsibility, explainability, accuracy, auditability, and fairness.[1] It is easy to hypothesize cases where linkage algorithms could ...
Emily Wiegand, Aya Liu, Sabrina Sedovic
doaj +1 more source
, 2017 Accountability is fundamentally about checks and balances to power. In theory, both government and corporations are kept accountable through social, economic, and political mechanisms. Journalism and public advocates serve as an additional tool to hold powerful institutions and individuals accountable.
Alex Rosenblat +2 more
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Algorithmic policing accountability: eight sociotechnical challenges
Policing and Society, 2023 Law enforcement agencies increasingly adopt algorithms for their policing practices, leading to new accountability challenges. However, academic literature tends to regard algorithmic applications as a single entity, resulting in broad and general statements on these risks.
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Bureaucratic accountability: enabler or barrier for algorithm use?
Policy Design and PracticeThis article examines the impact of bureaucratic accountability structures on public servants’ attitudes toward algorithmic decision-making systems (ADS) in public administration, particularly within the under-researched context of the Global South.
Brecht Weerheijm +2 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To clarify the clinical relevance of dopamine transporter single‐photon emission computed tomography (DAT‐SPECT) abnormalities in amyotrophic lateral sclerosis (ALS), with a prespecified focus on sex‐stratified associations with disease progression and short‐term prognosis.
Tomoya Kawazoe +7 more
wiley +1 more source