%0 Conference Paper %1 10.1145/3464385.3467475 %A Klumbyte, Goda %A Draude, Claude %A Taylor, Alex %B CHItaly 2021: 14th Biannual Conference of the Italian SIGCHI Chapter %C New York, NY, USA %D 2021 %I Association for Computing Machinery %K gedispub gender innovation itegpub myown %R 10.1145/3464385.3467475 %T Critical Tools for Machine Learning: Situating, Figuring, Diffracting, Fabulating Machine Learning Systems Design %U https://doi.org/10.1145/3464385.3467475 %X This workshop draws on feminist and other critical methodologies to construct interdisciplinary interventions in the design of machine learning systems. Theoretical concepts of “figuration”, “situating/situated knowledge”, “critical fabulation/speculation,” and “diffraction” are explored through hands-on experimentation to imagine and design machine learning systems in a more situated, inclusive, contextualize and accountable way. Through this “theory turned practice” approach the workshop aims to address systemic socio-cultural biases and develop more socially responsible frameworks of design. The workshop provides space for building a network for future research on interdisciplinary machine learning systems design. %@ 9781450389778

@inproceedings{10.1145/3464385.3467475, abstract = { This workshop draws on feminist and other critical methodologies to construct interdisciplinary interventions in the design of machine learning systems. Theoretical concepts of “figuration”, “situating/situated knowledge”, “critical fabulation/speculation,” and “diffraction” are explored through hands-on experimentation to imagine and design machine learning systems in a more situated, inclusive, contextualize and accountable way. Through this “theory turned practice” approach the workshop aims to address systemic socio-cultural biases and develop more socially responsible frameworks of design. The workshop provides space for building a network for future research on interdisciplinary machine learning systems design.}, added-at = {2021-08-04T11:31:06.000+0200}, address = {New York, NY, USA}, articleno = {39}, author = {Klumbyte, Goda and Draude, Claude and Taylor, Alex}, biburl = {https://www.bibsonomy.org/bibtex/28df822d12b742acde0b740c4fcac1d34/godaklumbyte}, booktitle = {CHItaly 2021: 14th Biannual Conference of the Italian SIGCHI Chapter}, doi = {10.1145/3464385.3467475}, interhash = {45f08a66275dc30f3b37d8e6e350c00f}, intrahash = {8df822d12b742acde0b740c4fcac1d34}, isbn = {9781450389778}, keywords = {gedispub gender innovation itegpub myown}, location = {Bolzano, Italy}, numpages = {2}, publisher = {Association for Computing Machinery}, series = {CHItaly '21}, timestamp = {2021-08-04T11:34:05.000+0200}, title = {Critical Tools for Machine Learning: Situating, Figuring, Diffracting, Fabulating Machine Learning Systems Design}, url = {https://doi.org/10.1145/3464385.3467475}, year = 2021 }