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The datafication of the worldview

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Abstract

The goal of this article is twofold. First, it aims at sketching the outlines of material hermeneutics as a three-level analysis of technological artefacts. In the first section, we introduce Erwin Panofsky’s three levels of interpretation of an artwork, and we propose to import this approach in the field of philosophy of technology. Second, the rest of the article focuses on the third level, with a specific attention towards big data and algorithms of artificial intelligence. The thesis is that these new technologies are not only radically transforming our interactions with the world, or our modes of production and consumption, but also our worldview. In the second section, we rely on Panofsky’s Gothic Architecture and Scholasticism to describe the Scholastic “mental habit” or worldview and its principles. In the third section, we confront this worldview with the mechanistic and informationistic worldviews. Our contribution consists in arguing that (1) despite the differences, the Scholastic, mechanistic, and informationistic worldviews are part of the same logical and causal order that dominated Western epistemology, and (2) today we are facing the appearance of a new worldview that we call “data worldview”. Examples from design, architecture, and visualization of knowledge will be set all along the article.

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Notes

  1. Panofsky borrowed this example from Karl Mannheim and his “Interpretation of the Weltanschauung”. See Hart (1993).

  2. It must be noticed that in the specific case of digital technologies, textual and object-oriented hermeneutics intersect each other. In “digital hermeneutics” (Romele 2020a) one deals with double entry signs, which are both readable and executable, representative and performative. I thank Luca Possati for this remark.

  3. In this article, we make the example of the public transport systems in a metropolis. Transport systems are full of designs that allow specific uses and prohibit others, such as the anti-homeless benches. They also have several norms which cannot be directly embedded into the technological design, like the prohibition in many cities to perform music on buses and subways. But what is particularly interesting is that often social actors/group have a ‘sense’ of what is allowed and what is not. For instance, whilst all parts of Paris are well connected to each other by public transports, people from poorer arrondissements of the Rive Droite have perfectly internalized the fact of not going into the richer arrondissement of the Rive Gauche—and vice versa of course. This does not happen because they cannot, nor because they are not allowed to, but because they do not “authorize themselves” to do so.

  4. On the cultural dimension of material hermeneutics, see Tripathi (2017, 137), who defines technology as a “fundamental cultural force”. The author opportunely stresses that postphenomenologists should give more importance to “cultural variability”, and they should address the meaning of “socio-cultural activity” (Tripathi 2017, 140).

  5. Ihde (1990, 126) makes the example of the Papua New Guinea people the Puluwateans: “The Puluwateans steered by wave patterns, without a compass. Once becoming acquainted with the compass, these navigators adopted its use—largely because the compass was at first an object of fascination rather than something useful. A compass conferred prestige. But once it had been adopted and used for of its purposes—to steer a straight course—it became possible to unlearn (de-skill) the more difficult wave perceptions, which were part of a complex initiation process in seamanship”.

  6. For an exhaustive history of the habitus in philosophy and social sciences, see Sparrow and Hutchinson (2013).

  7. https://commons.wikimedia.org/wiki/File:Notre_Dame_de_Paris_main_gate.jpg. Accessed May 1, 2020.

  8. Tripathi (2016) opportunely stresses that the objects of visual hermeneutics are neither texts nor linguistic phenomena, but things which come into vision through instrumental magnifications, allowing perception to go where it has not gone before. Ihde examines for instance a style of interpretation based in material practices relating to imaging technologies which have given rise to the visual hermeneutics in technoscience studies. We argue that such a visual hermeneutics should be expanded towards the impact of these visual representations on the social and cultural imaginaries of science and technology.

  9. See, for instance, the title page of a XVIth century manuscript of Llull’s Tree of Science: https://www.historyofinformation.com/image.php?id=859. Accessed May 1, 2020.

  10. It would be interesting to investigate how the older imaginary of space exploration is currently revitalized through the new big data and artificial intelligence imaginary. Among the many non-academic articles available online, see https://www.forbes.com/sites/bernardmarr/2017/10/19/why-space-data-is-the-new-big-data/#7b0b381c69a1. Accessed 1 May 2020. On the consequences of “data centrism” in science, see Lionelli (2016). On the consequences of the understanding of the self, and one’s own body, in terms of data, see Ruckenstein and Pantzar (2017).

  11. There is no room in this context to discuss the notions of information, data, algorithm, and eventually software. We content to say that data are “differences that make the difference”, information is data + a meaningful structure, and what characterizes algorithms is recursivity, which is an elementary capacity of self-reference. I thank again Luca Possati for this remark.

  12. See Zaha Hadid’s Heydar Aliyvev Center in Baku: https://commons.wikimedia.org/wiki/Category:Heydar_Aliyev_Cultural_Center#/media/File:Haydar_Aliyev_Culture_Center.jpg. Accessed May 1, 2020.

  13. https://www.centrepompidou.fr/cpv/resource/cdLqjpr/rynRjEj. Accessed May 1, 2020.

  14. See for instance the data visualizations created with UMAP algorithm (McInnes et al. 2018). For a theoretical reflection on these visualizations, see Rodighiero and Romele (forthcoming).

  15. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0201879. Accessed May 1, 2020.

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Romele, A. The datafication of the worldview. AI & Soc 38, 2197–2206 (2023). https://doi.org/10.1007/s00146-020-00989-x

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