Training to deal with Otherness – rehearsing &amp; maintaining human-machine relations

How can design approach machine learning and artificial intelligence? This intervention presents works by students of three programs dealing with design and/of technology. The works engage with the technologies and practices of building intelligent systems but also explore their aesthetic, cultural and social implications. As a collection of experimental pieces that follow a research through design methodology, they explore the entangled ways training, rehearsing and maintenance are needed to deal with the reciprocal Otherness in human-machine relations.

Content

Author and article information

Contributors

Lasse Scherffig

Andreas Muxel

Christian Faubel

Laura Popplow

Conference

Publication date: September 2021

Publication date (Print): September 2021

Pages: 359-364

Affiliations

[0001]KISD, TH Köln

Cologne, Germany

[0002]HS Augsburg

Augsburg, Germany

[0003]Code & Context, TH Köln

Cologne, Germany

[0004]KISD / Code & Context, TH Köln

Cologne, Germany

Article

DOI: 10.14236/ewic/POM2021.48

SO-VID: 8294b640-157b-40fc-95c2-eb956f9fba0c

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of Politics of the Machines - Rogue Research 2021

Conference acronym: POM 2021

Conference number: 3

Conference location: Berlin, Germany

Conference date: September 14-17, 2021

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: debate and devise concepts and practices that seek to critically question and unravel novel modes of science

History

Product

1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/POM2021.48

Self URI (journal page): https://ewic.bcs.org/

REFERENCES

K Bowyeret al. (2020) The “Criminality From Face” Illusion. IEEE Transactions on Technology and Society, Volume 1, Issue 4, 175–183.
J Choi et al. (2020) Situated Automation: Algorithmic Creatures in Participatory Design. Proceedings of the 16th Participatory Design Conference 2020, Volume 2, 5-9, ACM, New York.
K Crawford and T Paglen (2019) Excavating AI: The Politics of Training Sets for Machine Learning. The AI Now Institute. http://excavating.ai (2021-09-29).
L Forlano (2016) Hacking the Feminist Disabled Body. Journal of Peer Production, 8. http://peerproduction.net/issues/issue-8-feminism-and-unhacking-2/peer-reviewed-papers/issue-8-feminism-and-unhackingpeer-reviewed-papers-2hacking-the-feminist-disabled-body/ (2021-09-29).
T Karras el al. (2018) A Style-Based Generator Architecture for Generative Adversarial Networks. http://github.com/NVlabs/ffhq-dataset (2021-09-29).
Karras T. and Hellsten J. (2021) Flickr-Faces-HQ Dataset (FFHQ) - GitHub. http://github.com/NVlabs/ffhq-dataset. Accessed 24 Sep. 2021.
Karras T. et al. (2020) Training Generative Adversarial Networks with Limited Data, in Proceedings. NeurIPS
M Kosinski and Y Wang (2018) Deep Neural Networks Are More Accurate Than Humans at Detecting Sexual Orientation From Facial Images. Journal of Personality and Social Psychology. Volume 114, Issue 2, 246-257
J Licklider C. R. (1960) Man-Computer Symbiosis. IRE Transactions on Human Factors in Electronics, Issue HFE-1, 4–11.
M Mitchell (2020) Artificial Intelligence. A Guide for Thinking Humans. Penguin Books. London.
G Mueller (2013) The Rise of the Machines. Jacobin Magazine. http://jacobinmag.com/2013/04/the-rise-of-the-machines (2021-09-29).
M Pasquinelli and V Joler (2020) The Nooscope Manifested: Artificial Intelligence as Instrument of Knowledge Extractivism, KIM research group (Karlsruhe University of Arts and Design) and Share Lab (Novi Sad), http://nooscope.ai (2021-09-29).
G Mattson (2017) Artificial Intelligence Discovers Gayface. Sigh. http://greggormattson.com/2017/09/09/artificial-intelligence-discovers-gayface/ (2021-09-29).
C Said (2019) Kiwibots win fans at UC Berkeley as they deliver fast food at slow speeds. San Francisco Chronicle. http://www.sfchronicle.com/business/article/Kiwibots-win-fans-at-UC-Berkeley-as-they-deliver-13895867.php (2021-09-29).
A Taylor (2018) The Automation Charade. Logic Magazine, Issue 5, http://logicmag.io/failure/the-automation-charade/ (2021-09-29).
J Zimmerman and J Forlizzi (2014) Research through design in HCI. In Ways of Knowing in HCI, 167–189.

Comments

Comment on this article

[1] K Bowyeret al. (2020) The “Criminality From Face” Illusion. IEEE Transactions on Technology and Society, Volume 1, Issue 4, 175–183.

[2] J Choi et al. (2020) Situated Automation: Algorithmic Creatures in Participatory Design. Proceedings of the 16th Participatory Design Conference 2020, Volume 2, 5-9, ACM, New York.

[3] K Crawford and T Paglen (2019) Excavating AI: The Politics of Training Sets for Machine Learning. The AI Now Institute. http://excavating.ai (2021-09-29).

[4] L Forlano (2016) Hacking the Feminist Disabled Body. Journal of Peer Production, 8. http://peerproduction.net/issues/issue-8-feminism-and-unhacking-2/peer-reviewed-papers/issue-8-feminism-and-unhackingpeer-reviewed-papers-2hacking-the-feminist-disabled-body/ (2021-09-29).

[5] T Karras el al. (2018) A Style-Based Generator Architecture for Generative Adversarial Networks. http://github.com/NVlabs/ffhq-dataset (2021-09-29).

[6] Karras T. and Hellsten J. (2021) Flickr-Faces-HQ Dataset (FFHQ) - GitHub. http://github.com/NVlabs/ffhq-dataset. Accessed 24 Sep. 2021.

[7] Karras T. et al. (2020) Training Generative Adversarial Networks with Limited Data, in Proceedings. NeurIPS

[8] M Kosinski and Y Wang (2018) Deep Neural Networks Are More Accurate Than Humans at Detecting Sexual Orientation From Facial Images. Journal of Personality and Social Psychology. Volume 114, Issue 2, 246-257

[9] J Licklider C. R. (1960) Man-Computer Symbiosis. IRE Transactions on Human Factors in Electronics, Issue HFE-1, 4–11.

[10] M Mitchell (2020) Artificial Intelligence. A Guide for Thinking Humans. Penguin Books. London.

[11] G Mueller (2013) The Rise of the Machines. Jacobin Magazine. http://jacobinmag.com/2013/04/the-rise-of-the-machines (2021-09-29).

[12] M Pasquinelli and V Joler (2020) The Nooscope Manifested: Artificial Intelligence as Instrument of Knowledge Extractivism, KIM research group (Karlsruhe University of Arts and Design) and Share Lab (Novi Sad), http://nooscope.ai (2021-09-29).

[13] G Mattson (2017) Artificial Intelligence Discovers Gayface. Sigh. http://greggormattson.com/2017/09/09/artificial-intelligence-discovers-gayface/ (2021-09-29).

[14] C Said (2019) Kiwibots win fans at UC Berkeley as they deliver fast food at slow speeds. San Francisco Chronicle. http://www.sfchronicle.com/business/article/Kiwibots-win-fans-at-UC-Berkeley-as-they-deliver-13895867.php (2021-09-29).

[15] A Taylor (2018) The Automation Charade. Logic Magazine, Issue 5, http://logicmag.io/failure/the-automation-charade/ (2021-09-29).

[16] J Zimmerman and J Forlizzi (2014) Research through design in HCI. In Ways of Knowing in HCI, 167–189.

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Training to deal with Otherness – rehearsing & maintaining human-machine relations