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  1. Conceptual Engineering and the Dynamics of Linguistic Intervention.Adam F. Gibbons - forthcoming - Inquiry: An Interdisciplinary Journal of Philosophy.
    The Implementation Problem for conceptual engineering is, roughly, the problem conceptual engineers face when attempting to bring about the conceptual change they support. An important aspect of this problem concerns the extent to which attempting to implement concepts can lead to unintended negative consequences. Not only can conceptual engineers fail to implement their proposals, but their interventions can produce outcomes directly counter to their goals. It is therefore important to think carefully about the prospect of attempted implementation leading to unintended (...)
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  • Conceptual Baggage and How to Unpack It.Emilia L. Wilson - 2024 - Dissertation, University of St Andrews
    Our interpretive resources enable us to make sense of, navigate, and communicate about our shared world. These resources not only carve the world up into categories, but also guide how we, individually and collectively, are oriented towards it. In this thesis, I examine how these resources, and the dispositions they guide, may be harmful. A vital kind of interpretive resources are frames, which equip us with unified perspectives on the world. Perspectives are suites of open-ended interpretive (inquisitive, attentional, inferential, evaluative, (...)
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  • Local Conceptual Engineering in a Linguistic Subgroup and the Implementation Problem.Takaaki Matsui - manuscript
    In this paper, I examine Max Deutsch’s dilemma for the implementation of newly engineered concepts. In the debate over this dilemma, the goal of conceptual engineering tends to be set either too high or too low. As a result, implementation tends to be seen as either very unlikely to succeed or too easily achievable. This paper aims to offer a way out of this dilemma. I argue that the success conditions for implementation can be better understood if we distinguish between (...)
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  • Socially disruptive technologies and epistemic injustice.J. K. G. Hopster - 2024 - Ethics and Information Technology 26 (1):1-8.
    Recent scholarship on technology-induced ‘conceptual disruption’ has spotlighted the notion of a conceptual gap. Conceptual gaps have also been discussed in scholarship on epistemic injustice, yet up until now these bodies of work have remained disconnected. This article shows that ‘gaps’ of interest to both bodies of literature are closely related, and argues that a joint examination of conceptual disruption and epistemic injustice is fruitful for both fields. I argue that hermeneutical marginalization—a skewed division of hermeneutical resources, which serves to (...)
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  • Understanding Artificial Agency.Leonard Dung - forthcoming - Philosophical Quarterly.
    Which artificial intelligence (AI) systems are agents? To answer this question, I propose a multidimensional account of agency. According to this account, a system's agency profile is jointly determined by its level of goal-directedness and autonomy as well as is abilities for directly impacting the surrounding world, long-term planning and acting for reasons. Rooted in extant theories of agency, this account enables fine-grained, nuanced comparative characterizations of artificial agency. I show that this account has multiple important virtues and is more (...)
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  • Conceptual Engineering Using Large Language Models.Bradley Allen - manuscript
    We describe a method, based on Jennifer Nado's definition of classification procedures as targets of conceptual engineering, that implements such procedures using a large language model. We then apply this method using data from the Wikidata knowledge graph to evaluate concept definitions from two paradigmatic conceptual engineering projects: the International Astronomical Union's redefinition of PLANET and Haslanger's ameliorative analysis of WOMAN. We discuss implications of this work for the theory and practice of conceptual engineering. The code and data can be (...)
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  • Conceptual infrastructure and conceptual engineering.Steffen Koch & Jochen Briesen - 2023 - In Aaron Pinnix, Axel Volmar, Fernando Esposito & Nora Binder (eds.), Rethinking Infrastructure Across the Humanities. Transcript. pp. 75-86.
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  • Conceptual engineering, predictive processing, and a new implementation problem.Guido Löhr & Christian Michel - 2024 - Mind and Language 39 (2):201-219.
    According to predictive processing, an increasingly influential paradigm in cognitive science, the function of the brain is to minimize the prediction error of its sensory input. Conceptual engineering is the practice of assessing and changing concepts or word meanings. We contribute to both strands of research by proposing the first cognitive account of conceptual engineering, using the predictive processing framework. Our model reveals a new kind of implementation problem as prediction errors are only minimized if enough agents embrace conceptual changes. (...)
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  • Engineering the trust machine. Aligning the concept of trust in the context of blockchain applications.Eva Pöll - 2024 - Ethics and Information Technology 26 (2):1-16.
    Complex technology has become an essential aspect of everyday life. We rely on technology as part of basic infrastructure and repeatedly for tasks throughout the day. Yet, in many cases the relation surpasses mere reliance and evolves to trust in technology. A new, disruptive technology is blockchain. It claims to introduce trustless relationships among its users, aiming to eliminate the need for trust altogether—even being described as “the trust machine”. This paper presents a proposal to adjust the concept of trust (...)
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  • Conceptual Engineering and Philosophy of Technology: Amelioration or Adaptation?Jeroen Hopster & Guido Löhr - 2023 - Philosophy and Technology 36 (4):1-17.
    Conceptual Engineering (CE) is thought to be generally aimed at ameliorating deficient concepts. In this paper, we challenge this assumption: we argue that CE is frequently undertaken with the orthogonal aim of _conceptual adaptation_. We develop this thesis with reference to the interplay between technology and concepts. Emerging technologies can exert significant pressure on conceptual systems and spark ‘conceptual disruption’. For example, advances in Artificial Intelligence raise the question of whether AIs are agents or mere objects, which can be construed (...)
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