Buch, Englisch, 224 Seiten, Format (B × H): 156 mm x 234 mm
Towards New Materialist Informatics
Buch, Englisch, 224 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: Dis-positions: Troubling Methods and Theory in STS
ISBN: 978-1-5292-5685-7
Verlag: Bristol University Press
Available open access digitally under CC-BY-NC-ND licence.
What if feminist philosophy could redesign machine learning? This groundbreaking book analyzes how algorithms encode power and shows how critical, transdisciplinary thinking can intervene to build fairer, more accountable AI systems.
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziale Gruppen/Soziale Themen Ethische Themen & Debatten: Wissenschaft, Technologie, Medizin
- Geisteswissenschaften Philosophie Erkenntnistheorie
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Feminismus, Feministische Theorie
Weitere Infos & Material
Introduction
1. Why Assemblage? Approaching Machine Learning Diagrammatically
Part 1: Algorithmic Agency: Probing the Epistemic Operations of Machine Learning
2. Linear Regression: From Regression to the Mean to Relation Machines
3. K-Nearest Neighbours: Homophily and the Making of Difference
4. Decision Trees: Arboreal Organisation of Knowledge
Part 2: Learning Otherwise: Critical and Speculative Design Interventions
5. Diffracting Power: Critical Machine Learning Artefact Design
6. Activating Concepts: Redrawing Machine Learning Design Diagrams
7. Speculating Models, Inventing Algorithms: Experimental Diagrams
Conclusion: Towards New Materialist Informatics as a Critical Technical Practice
Appendix: “Critical Tools for Machine Learning” Workshop Framework and Exercises
References
