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  1. Exploring the roles of trust and social group preference on the legitimacy of algorithmic decision-making vs. human decision-making for allocating COVID-19 vaccinations.Marco Lünich & Kimon Kieslich - forthcoming - AI and Society:1-19.
    In combating the ongoing global health threat of the COVID-19 pandemic, decision-makers have to take actions based on a multitude of relevant health data with severe potential consequences for the affected patients. Because of their presumed advantages in handling and analyzing vast amounts of data, computer systems of algorithmic decision-making are implemented and substitute humans in decision-making processes. In this study, we focus on a specific application of ADM in contrast to human decision-making, namely the allocation of COVID-19 vaccines to (...)
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  • Public attitudes about equitable COVID-19 vaccine allocation: a randomised experiment of race-based versus novel place-based frames.Harald Schmidt, Sonia Jawaid Shaikh, Emily Sadecki, Alison Buttenheim & Sarah Gollust - 2022 - Journal of Medical Ethics 48 (12):993-999.
    Equity was—and is—central in the US policy response to COVID-19, given its disproportionate impact on disadvantaged communities of colour. In an unprecedented turn, the majority of US states used place-based disadvantage indices to promote equity in vaccine allocation (eg, through larger vaccine shares for more disadvantaged areas and people of colour).We conducted a nationally representative survey experiment (n=2003) in April 2021 (before all US residents had become vaccine eligible), that examined respondents’ perceptions of the acceptability of disadvantage indices relative to (...)
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