The precautionary principle (PP) is an influential principle for making decisions when facing uncertain, but potentially severe, harm. However, there is a persistent disagreement about what the principle entails, exactly. It exists in a multitude of formulations and has potentially conflicting ideas associated with it. Is there even such a thing as ‘the precautionary principle’? This paper analyses the debate between unificationists and pluralists about ‘the PP’, arguing that the debate is hindered by neglecting the question of justification. It introduces (...) reflective equilibrium as a method of justification, and sketches how it could be applied to justify a PP. (shrink)

The genus problem of populism presents one of the most vexing conceptual questions across the social sciences: Some theorists believe that populism is nothing more than an assembly of discursive patterns, while others maintain that populism is a strategy to gain political power. Then there are those that argue that populism is a thin ideology that lacks a coherent set of guiding principles. The paper intervenes in this debate in two ways: First, it offers a methodological apparatus for evaluating and (...) developing contested concepts such as populism. Second, it puts forward and defends the claim that populism can be fruitfully understood as a coherent ideology that rests on four foundational principles. These principles, I will argue, are necessary for explaining the paradigmatic beliefs and dispositions exhibited by exponents of populism. One of the key characteristics of populism, on the account developed in this paper, is its peculiar epistemic stance. (shrink)

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 (...) as a CE question regarding the concepts AGENT and OBJECT. We distinguish between three types of conceptual disruption (conceptual gaps, conceptual overlaps, and conceptual misalignments) and argue that when CE occurs to address these disruptions, its primary aim is not to improve concepts, but to retain their functional quality, or to prevent them from degrading. This is the characteristic aim of CE when undertaken in philosophy of technology: to _preserve_ the functional role of a concept or conceptual scheme, rather than _improving_ how a concept fulfills its respective function. (shrink)