Abstract
The first part of this article makes the case that human cognition is an intergenerational project enabled by the inheritance and bequeathal of cognitive technology (Sects. 2–4). The final two sections of the article (Sects. 5 and 6) explore the normative significance of this claim. My case for the intergenerational claim draws results from multiple disciplines: philosophy (Sect. 2), cultural evolutionary approaches in cognitive science (Sect. 3), and developmental psychology and neuroscience (Sect. 4). In Sect. 5, I propose that cognitive technology should be given to future generations in accordance with principles of pluralism and transparency. In the final main section of the article, Sect. 6, I apply these principles to topics such as the preservation of information, environmental offloading of cognition, and thinking itself.
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Notes
For a recent treatment of the historical trajectory of technology from a Hegelian perspective, see Kislev (2020).
For instance, we see the influence of Husserl’s focus on the written word in the work of Jacques Derrida (1989) and Bernard Stiegler (1998, 2009, 2015) as well as in the “postphenomenological” project of Don Ihde (1990, 2009). It would be valuable, though well beyond the scope of this article, to consider my claims here in engagement with the corpora of Stiegler and Ihde. There are areas of thematic overlap between my approach and theirs, but also important differences. My methodology draws from empirical work in cognitive science and my focus here is on the intergenerational nature of cognitive technologies.
See the recent Synthese special issue on Mathematical Cognition and Enculturation for a treatment of related topics by contemporary cognitive science (Pantsar and Dutilh Novaes 2020).
Derrida took up this theme from Plato in an early and well-known essay, “Plato’s Pharmacy” (1981). Stiegler develops the theme into a central part of his philosophical thought as pharmacologie (2015).
I should make a quick note on the issue of technological determinism. If one is committed to a strong version of technological determinism according to which humans have no genuine agency over the course of technological development, then there is no point in developing principles for developing and sharing cognitive technology. I am approaching the topic with the assumption that we have some role in determining the trajectory of cognitive technology over time, a view that is compatible with a sort of soft determinism (Heilbroner 1967).
I thank a referee for pointing out that pluralism and transparency are analogous to diversity and parsimony in statistical modelling. Since machine learning is dominated by statistical modelling, we might gain new insight here into the relationship between machine learning and cognitive technology.
Thus we arrive at a convergence between the “downstream informational engineering” of Sterelny (2003) and Floridi’s concept of the “infosphere” (2014), despite the fact that the two thinkers are somewhat removed from one another in methodology and tradition. An examination of this convergence is beyond the scope of this article.
I thank an anonymous referee for raising this point.
For a review of evidence that predictability is a main cue for generating the sense of agency, see Farrer and Frith (2002) and Farrer et al. (2008). In order to see the case for fluency as a main cue, see Chambon et al. (2014). Both Microsoft and Apple advise app designers to create a user interface (UI) that incorporates both predictability and fluency. For example, “An experience feels intuitive when it behaves the way the user expects it to. By using established controls and patterns and taking advantage of platform support for accessibility and globalization, you create an effortless experience … Fluent experiences use controls and patterns consistently, so they behave in ways the user has learned to expect.” The quotation was accessed on March 13, 2020 at https://docs.microsoft.com/en-us/windows/apps/fluent-design-system.
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Madary, M. Engineering the Minds of the Future: An Intergenerational Approach to Cognitive Technology. Axiomathes 32, 1281–1295 (2022). https://doi.org/10.1007/s10516-021-09580-5
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DOI: https://doi.org/10.1007/s10516-021-09580-5