#4 Reshape Reality – Questioning Claims of Neutrality for Inclusive TechnoFutures
- Datum
- 22.01.2026
- Zeit
- 10:00 - 11:30
- Zugehörigkeit
- ScaDS.AI Dresden/Leipzig
- Sprache
- en
- Hauptthema
- Gesellschaft, Philos., Erzieh.
- Andere Themen
- Informatik
- Host
- ScaDS.AI Dresden/Leipzig
- Beschreibung
- Tanja Kubes’ much-debated 2025 article "A Critique of Human-Centred AI: A Plea for a Feminist AI Framework (FAIF)" offers a critical perspective on Human-centred AI (HCAI) as it is currently practiced. According to her argument, HCAI remains largely Eurocentric, androcentric, and anthropocentric. It is driven by capitalist market logic with no commitment to sustainability. HCAI disregards and exacerbates global injustices and ecological impacts. Taking an anthropological approach, the article offers a feminist, post-humanist and neo-materialist perspective on HCAI. It proposes a Feminist AI Framework (FAIF) which incorporates findings from more-than-human anthropology and body phenomenology. These concepts are inspiringly connected with Donna Haraway's theory. The proposed FAIF concept aims to reassess the relationship between humans, other life forms and technology. It explores the potential for collaborative, non-hierarchical AI design, usage and control. Rather than focusing primarily on damage control, FAIF is a proactive attempt to ensure the co-constitutive well-being of humans and non-humans. It does so by challenging traditional narratives about AI and progress. As a background reading we recommend the article from Tanja Kubes and Thomas Reinhardt “Techno-species in the Becoming Towards a Relational Ontology of Multi-species Assemblages (ROMA)” in Nanoethics 16, 95–105 (2022) Please register to: pandu@tu-dresden.de. We will gladly provide you with the link to the digital room.
- Links
Letztmalig verändert: 07.01.2026, 11:51:04
Veranstaltungsort
TUD Merkel-Bau (Room 118 or Online via Zoom )Helmholtzstr.1401069Dresden
- Homepage
- https://navigator.tu-dresden.de/etplan/mer/00
Veranstalter
Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI)Chemnitzer Straße46b, 2. OG01187Dresden
- Telefon
- +49 351 463-40900
- ScaDS.AI
- Homepage
- https://scads.ai
Legende
- Ausgründung/Transfer
- Bauing., Architektur
- Biologie
- Chemie
- Elektro- u. Informationstechnik
- für Schüler:innen
- Gesellschaft, Philos., Erzieh.
- Informatik
- Jura
- Maschinenwesen
- Materialien
- Mathematik
- Medizin
- Physik
- Psychologie
- Sprache, Literatur und Kultur
- Umwelt
- Verkehr
- Weiterbildung
- Willkommen
- Wirtschaft
