Conceptual engineering: A road map to practice

Isaac, Manuel Gustavo; Koch, Steffen; Nefdt, Ryan M.

doi:10.1111/phc3.12879

Cited by 29 publications

(17 citation statements)

References 113 publications

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“…For example, is PII the product of discovery or refinement? This is related to the question of the divide between 'conceptual analysis' and 'conceptual engineering' (see Isaac et al, 2022). The term 'characterization' is meant to be neutral about this question; either option is compatible with the objective of the present paper.…”

Section: Analy Ti C Me Taphys Ic S G Iving An Abstract Model For Scie...mentioning

confidence: 93%

What analytic metaphysics can do for scientific metaphysics

Lee

2023

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The apparent chasm between two camps in metaphysics, analytic metaphysics and scientific metaphysics, is well recognized. I argue that the relationship between them is not necessarily a rivalry; a division of labour that resembles the relationship between pure mathematics and science is possible. As a case study, I look into the metaphysical underdetermination argument for ontic structural realism, a well‐known position in scientific metaphysics, together with an argument for the position in analytic metaphysics known as ontological nihilism. I argue that we can ascribe the same schema to both arguments, which indicates that analytic metaphysics can offer an abstract model that scientific metaphysics may find useful.

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Section: Analy Ti C Me Taphys Ic S G Iving An Abstract Model For Scie...mentioning

confidence: 93%

What analytic metaphysics can do for scientific metaphysics

Lee

2023

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“…Specifically, how can we distinguish the notion of conceptual revelations (learning something new about our existing concepts) from intentional conceptual change (changing our concepts)? This question has occupied several researchers in the CE community (Cappelen, 2018; Haslanger, 2020; see Isaac et al, 2022 for a review). We believe that the PP approach to CE allows us to make interesting distinctions on this topic, which are summarized in Table 2.…”

Section: Ce As Model Assessment Revision and Enactmentmentioning

confidence: 99%

“…Following the engineering metaphor, we can divide philosophical methodology into four distinct phases (Löhr, 2023; see also Isaac et al, 2022, for a different review of the engineering stages). First, we are usually struck by a problem with our conceptual system, say, an inconsistency or conceptual gap.…”

Section: Introductionmentioning

confidence: 99%

Conceptual engineering, predictive processing, and a new implementation problem

Löhr

Michel

2023

Mind & Language

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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. This problem can be overcome by emphasizing the importance of social norms and conceptual pluralism.

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“…Having been used across various disciplines for numerous years, conceptual engineering is widely recognized as a systematic methodology for designing, implementing and evaluating concepts. (Isaac et al , 2022). Conceptual engineering aims to examine the underlying concepts and principles shaping our understanding and use of technology and develop new concepts and principles that align with our values and goals.…”

Section: Social Network: Conceptmentioning

confidence: 99%

Lying in online social networks: a bug or a feature

Maddah

Esmaeilzadeh

2023

JICES

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Purpose Online social networks can bridge the gap between distant individuals by simulating online experiences that closely resemble physical interactions. While people have positive experiences, such as joy, in a physical relationship and would like to enjoy those experiences online, they also have negative experiences, such as being subject to a lie. An online social network may allow users to lie to simulate a real-world social group better. However, lying must be prevented on social networks as unethical behavior. Thus, this study aims to investigate an ethical dilemma raised due to the two abovementioned perspectives. Design/methodology/approach This paper examines different aspects of lying in social networks, using a comprehensive descriptive literature review approach and a classification scheme. Findings Contrary to their initial intent, social networks are disrupting the traditional notion of human interaction, either by disregarding the presence of dishonesty or by attempting to regulate relationships. In this research, the authors examine the challenges of these two perspectives by identifying enablers, consequences and control measures of lying on social networks at the individual, social and technological levels. The authors also develop a framework to facilitate investigating this dilemma. Originality/value This paper examines a controversial topic. Although lying is unethical, allowing users to lie may be considered an appealing feature of social network platforms. This paper offers a framework to propose several research directions for future studies. This study’s examination focuses on the challenges associated with deception on social networks, prompting the formulation of three crucial questions regarding the potential impact of technology on such behavior.

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Conceptual engineering: A road map to practice

Cited by 29 publications

References 113 publications

What analytic metaphysics can do for scientific metaphysics

What analytic metaphysics can do for scientific metaphysics

Conceptual engineering, predictive processing, and a new implementation problem

Lying in online social networks: a bug or a feature

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