Viktor Bedö
Biographic Data
| ID | 8606981 |
|---|---|
| NAME | Viktor Bedö |
| GIVEN NAMES | Viktor |
| FAMILY NAME | Bedö |
| SIGNATURE | BEDŐ V |
| AFFILIATIONS | FHNW University of Applied Sciences and Arts Northwestern Switzerland |
| ORCID | 0000-0003-1974-5320 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Collective machine teaching
Amid overwhelming evidence from the social sciences about the inherently extractive nature of predominant machine learning imaginaries, and visceral designerly and artistic explorations of how algorithmic governance of urban resources consumes our labour and bodies, calls to put people back into AI are growing. This paper describes a participatory experimental design project that adopts a critical making approach to rehearse collective machine te…
Toys for Conviviality. Situating Commoning, Computation and Modelling
This article explores the use of agent-based modelling as a critical and playful form of engagement with cooperative housing organizations. Because of its inherent complexities vis-à-vis decision-making, commoning is a well-suited field of study to explore the potential of humanities-driven experimental design (media) research to provoke critical reflection, problem-finding and productive complication. By introducing two different agent-based mod…
No prominent works on this page.
Toys for Conviviality. Situating Commoning, Computation and Modelling
This article explores the use of agent-based modelling as a critical and playful form of engagement with cooperative housing organizations. Because of its inherent complexities vis-à-vis decision-making, commoning is a well-suited field of study to explore the potential of humanities-driven experimental design (media) research to provoke critical reflection, problem-finding and productive complication. By introducing two different agent-based mod…
Collective machine teaching
Amid overwhelming evidence from the social sciences about the inherently extractive nature of predominant machine learning imaginaries, and visceral designerly and artistic explorations of how algorithmic governance of urban resources consumes our labour and bodies, calls to put people back into AI are growing. This paper describes a participatory experimental design project that adopts a critical making approach to rehearse collective machine te…
Corporate governance (2 works) · Situated (2 works) · Artificial Intelligence (1 work) · Blueprint (1 work) · Citizen journalism (1 work) · Computer Science (1 work) · Critical reflection (1 work) · Critical theory (1 work) · Digital Education and Society (1 work) · Economics (1 work)