Machine Learning and the End of Theory: Reflections on a Data-Driven Conception of Health
| Autor: | Guersenzvaig, Ariel |
|---|---|
| Přispěvatelé: | Herlo, Bianca, Irrgang, Daniel, Weizenbaum Institute for the Networked Society - The German Internet Institute |
| Rok vydání: | 2023 |
| Předmět: |
Technik
Technologie Soziologie Anthropologie Technology (Applied sciences) Sociology & anthropology machine learning health theory maschinelles Lernen Technikfolgenabschätzung Wissenschaftssoziologie Wissenschaftsforschung Technikforschung Techniksoziologie Technology Assessment Sociology of Science Sociology of Technology Research on Science and Technology computerunterstütztes Lernen Gesundheit Technikfolgen Digitalisierung künstliche Intelligenz computer aided learning health effects of technology digitalization artificial intelligence |
| Zdroj: | Proceedings of the Weizenbaum Conference 2022: Practicing Sovereignty - Interventions for Open Digital Futures, 53-65, Weizenbaum Conference "Practicing Sovereignty: Interventions for Open Digital Futures", 4 |
| Druh dokumentu: | Konferenzbeitrag<br />conference paper |
| ISSN: | 2510-7666 |
| DOI: | 10.34669/wi.cp/4.5 |
| Popis: | Taking the notion of health as a leitmotif, this paper discusses some conceptual boundaries for using machine learning - a data-driven, statistical, and computational technique in the field of artificial intelligence - for epistemic purposes and for generating knowledge about the world based solely on the statistical correlations found in data (i.e., the "End of Theory" view).The thrust of the argument is that prior theoretical conceptions, subjectivity, and values would - because of their normative power - inevitably blight any effort at knowledge-making that seeks to be exclusively driven by data and nothing else. The conclusion suggests that machine learning will neither resolve nor mitigate the serious internal contradictions found in the "biostatistical theory" of health - the most well-discussed data-driven theory of health. The definition of notions such as these is an ongoing and fraught societal dialogue where the discussion is not only about what is, but also about what should be. This dialogical engagement is a question of ethics and politics and not one of mathematics. |
| Databáze: | SSOAR – Social Science Open Access Repository |
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