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In Gertrude Hirsch Hadorn & Sven Hansson (eds.), The Argumentative Turn in Policy Analysis: Reasoning About Uncertainty. Cham: Springer Verlag (2016)

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  1. From epistemology to policy: reorienting philosophy courses for science students.Mark Thomas Young - 2022 - European Journal for Philosophy of Science 12 (2):1-14.
    Philosophy of science has traditionally focused on the epistemological dimensions of scientific practice at the expense of the ethical and political questions scientists encounter when addressing questions of policy in advisory contexts. In this article, I will explore how an exclusive focus on epistemology and theoretical reason can function to reinforce common, yet flawed assumptions concerning the role of scientific knowledge in policy decision making when reproduced in philosophy courses for science students. In order to address this concern, I will (...)
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  • Human germline editing in the era of CRISPR-Cas: risk and uncertainty, inter-generational responsibility, therapeutic legitimacy.Sebastian Schleidgen, Hans-Georg Dederer, Susan Sgodda, Stefan Cravcisin, Luca Lüneburg, Tobias Cantz & Thomas Heinemann - 2020 - BMC Medical Ethics 21 (1):1-12.
    BackgroundClustered Regularly Interspaced Short Palindromic Repeats-associated technology may allow for efficient and highly targeted gene editing in single-cell embryos. This possibility brings human germline editing into the focus of ethical and legal debates again.Main bodyAgainst this background, we explore essential ethical and legal questions of interventions into the human germline by means of CRISPR-Cas: How should issues of risk and uncertainty be handled? What responsibilities arise regarding future generations? Under which conditions can germline editing measures be therapeutically legitimized? For this (...)
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  • AI under great uncertainty: implications and decision strategies for public policy.Maria Nordström - 2022 - AI and Society 37 (4):1703-1714.
    Decisions where there is not enough information for a well-informed decision due to unidentified consequences, options, or undetermined demarcation of the decision problem are called decisions under great uncertainty. This paper argues that public policy decisions on _how_ and _if_ to implement decision-making processes based on machine learning and AI for public use are such decisions. Decisions on public policy on AI are uncertain due to three features specific to the current landscape of AI, namely (i) the vagueness of the (...)
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  • Self‐Defeating Goals.Sven Ove Hansson, Karin Edvardsson Björnberg & John Cantwell - 2016 - Dialectica 70 (4):491-512.
    The typical function of goals is to regulate action in a way that furthers goal achievement. Goals are typically set on the assumption that they will help bring the agent closer to the desired state of affairs. However, sometimes endorsement of a goal, or the processes by which the goal is set, can obstruct its achievement. When this happens, the goal is self-defeating. Self-defeating goals are common in both private and social decision-making but have not received much attention by decision (...)
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