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Contenido proporcionado por re:verb, Calvin Pollak, and Alex Helberg. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente re:verb, Calvin Pollak, and Alex Helberg o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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E93: Queer Techné and Queering A.I. (w/ Dr. Patricia Fancher)

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Manage episode 419652283 series 2460300
Contenido proporcionado por re:verb, Calvin Pollak, and Alex Helberg. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente re:verb, Calvin Pollak, and Alex Helberg o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

On today’s show, Alex and Calvin are thrilled to be joined by Dr. Patricia Fancher, a Continuing Lecturer in the Writing Program at the University of California, Santa Barbara. In her fabulous new book Queer Techné: Bodies, Rhetorics, and Desire in the History of Computing, Dr. Fancher offers a groundbreaking history of how the Manchester University Computer and discourses about it were shaped by queerness, embodied gender performativity, and invisibilized gendered labor in the early 1950s. Some of the figures that Fancher’s book offers new understandings of include Alan Turing, Christopher Strachey, Audrey Bates, and Cicely Popplewell, with each case study capturing how technical communication and technology development are about more than just usability, efficiency, and innovation.

A recurring theme in Dr. Fancher’s rhetorical reading of Turing and his colleagues is that there is something queer, performative, and playful about intelligence, and that these dimensions are mostly ignored by the hype around so-called “artificial intelligence” tools like large language models. To explore this theme, we chat about Christopher Strachey’s rudimentary love letter generation program, comparing its output to ChatGPT’s for similar prompts. We ultimately explore what Turing might have thought of LLMs, and how we can begin to ask queerer questions of our digital tools to produce more interesting and intelligent discourses and technologies.

Works and Concepts Referenced in this Episode

Edenfield, A. C., Holmes, S., & Colton, J. S. (2019). Queering tactical technical communication: DIY HRT. Technical Communication Quarterly, 28(3), 177-191.

Fancher, P. (2024). Queer Techné: Bodies, Rhetorics, and Desire in the History of Computing. NCTE.

Fancher, P. (2016). Composing artificial intelligence: Performing Whiteness and masculinity. Present Tense, 6(1).

Haas, A. M. (2012). Race, rhetoric, and technology: A case study of decolonial technical communication theory, methodology, and pedagogy. Journal of Business and Technical Communication, 26(3), 277-310.

Henrik Oleson exhibition about Turing.

Matt Sefton and David Link’s web version of Strachey’s love letter program

Rhodes, J., & Alexander, J. (2015). Techne: Queer meditations on writing the self. Computers and Composition Digital Press/Utah State University Press.

  continue reading

96 episodios

Artwork
iconCompartir
 
Manage episode 419652283 series 2460300
Contenido proporcionado por re:verb, Calvin Pollak, and Alex Helberg. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente re:verb, Calvin Pollak, and Alex Helberg o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

On today’s show, Alex and Calvin are thrilled to be joined by Dr. Patricia Fancher, a Continuing Lecturer in the Writing Program at the University of California, Santa Barbara. In her fabulous new book Queer Techné: Bodies, Rhetorics, and Desire in the History of Computing, Dr. Fancher offers a groundbreaking history of how the Manchester University Computer and discourses about it were shaped by queerness, embodied gender performativity, and invisibilized gendered labor in the early 1950s. Some of the figures that Fancher’s book offers new understandings of include Alan Turing, Christopher Strachey, Audrey Bates, and Cicely Popplewell, with each case study capturing how technical communication and technology development are about more than just usability, efficiency, and innovation.

A recurring theme in Dr. Fancher’s rhetorical reading of Turing and his colleagues is that there is something queer, performative, and playful about intelligence, and that these dimensions are mostly ignored by the hype around so-called “artificial intelligence” tools like large language models. To explore this theme, we chat about Christopher Strachey’s rudimentary love letter generation program, comparing its output to ChatGPT’s for similar prompts. We ultimately explore what Turing might have thought of LLMs, and how we can begin to ask queerer questions of our digital tools to produce more interesting and intelligent discourses and technologies.

Works and Concepts Referenced in this Episode

Edenfield, A. C., Holmes, S., & Colton, J. S. (2019). Queering tactical technical communication: DIY HRT. Technical Communication Quarterly, 28(3), 177-191.

Fancher, P. (2024). Queer Techné: Bodies, Rhetorics, and Desire in the History of Computing. NCTE.

Fancher, P. (2016). Composing artificial intelligence: Performing Whiteness and masculinity. Present Tense, 6(1).

Haas, A. M. (2012). Race, rhetoric, and technology: A case study of decolonial technical communication theory, methodology, and pedagogy. Journal of Business and Technical Communication, 26(3), 277-310.

Henrik Oleson exhibition about Turing.

Matt Sefton and David Link’s web version of Strachey’s love letter program

Rhodes, J., & Alexander, J. (2015). Techne: Queer meditations on writing the self. Computers and Composition Digital Press/Utah State University Press.

  continue reading

96 episodios

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