Programming gender: surveillance, identity, and paranoia in Ex Machina
In: Cultural studies, Band 37, Heft 1, S. 46-64
ISSN: 1466-4348
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In: Cultural studies, Band 37, Heft 1, S. 46-64
ISSN: 1466-4348
In: Journal of digital social research, Band 6, Heft 4, S. 49-59
ISSN: 2003-1998
In this paper, we examine how generative artificial intelligence produces a new politics of visual culture. We focus on DALL·E and related machine learning models as an emergent approach to image-making that operates through the cultural technique of semantic compression. Semantic compression, we argue, is an inhuman and invisual technique, yet it is still caught in a paradox that is ironically all too human: the consistent reproduction of whiteness as a latent feature of dominant visual culture. We use Open AI's failed efforts to "debias" their system as a critical opening to interrogate how DALL·E dissolves and reconstitutes politically and economically salient human concepts like race. This example vividly illustrates the stakes of the current moment of transformation, when so-called foundation models reconfigure the boundaries of visual culture and when "doing" anti-racism means deploying quick technical fixes to mitigate personal discomfort, or more importantly, potential commercial loss. We conclude by arguing that it simply does not suffice anymore to point out a lack – of data, of representation, of subjectivity – in machine learning systems when these systems are designed and understood to be complete representations of reality. The current shift towards foundation models, then, at the very least presents an opportunity to reflect on what is next, even if it is just a "new and better" kind of complicity.
In: Big data & society, Band 8, Heft 2
ISSN: 2053-9517
This commentary uses Paul Gilroy's controversial claim that new technoscientific processes are instituting an 'end to race' as a provocation to discuss the epistemological transformation of race in algorithmic culture. We situate Gilroy's provocation within the context of an abolitionist agenda against racial-thinking, underscoring the relationship between his post-race polemic and a post-visual discourse. We then discuss the challenges of studying race within regimes of computation, which rely on structures that are, for the most part, opaque; in particular, modes of classification that operate through proxies and abstractions and that figure racialized bodies not as single, coherent subjects, but as shifting clusters of data. We argue that in this new regime, race emerges as an epiphenomenon of processes of classifying and sorting – what we call 'racial formations as data formations'. This discussion is significant because it raises new theoretical, methodological and political questions for scholars of media and critical algorithmic studies. It asks: how are we supposed to think, to identify and to confront race and racialisation when they vanish into algorithmic systems that are beyond our perception? What becomes of racial formations in post-visual regimes?
In: Phan , T & Wark , S 2021 , ' Racial formations as data formations ' , Big Data & Society , vol. 8 , no. 2 , pp. 1 - 5 . https://doi.org/10.1177/20539517211046377
This commentary uses Paul Gilroy's controversial claim that new technoscientific processes are instituting an 'end to race' as a provocation to discuss the epistemological transformation of race in algorithmic culture. We situate Gilroy's provocation within the context of an abolitionist agenda against racial-thinking, underscoring the relationship between his post-race polemic and a post-visual discourse. We then discuss the challenges of studying race within regimes of computation, which rely on structures that are, for the most part, opaque; in particular, modes of classification that operate through proxies and abstractions and that figure racialized bodies not as single, coherent subjects, but as shifting clusters of data. We argue that in this new regime, race emerges as an epiphenomenon of processes of classifying and sorting – what we call 'racial formations as data formations'. This discussion is significant because it raises new theoretical, methodological and political questions for scholars of media and critical algorithmic studies. It asks: how are we supposed to think, to identify and to confront race and racialisation when they vanish into algorithmic systems that are beyond our perception? What becomes of racial formations in post-visual regimes?
BASE
In: Somatechnics: journal of bodies, technologies, power, Band 6, Heft 1, S. 72-88
ISSN: 2044-0146
The production of the #cokedrone YouTube advertisement by Coca-Cola Singapore in 2014 is a manifestation of the broader trend toward the domestication of drone technologies within city spaces, indicating a prolonged desire to eschew its relationship to violence. This article seeks to briefly provide one interpretation into this ad and the broader contextual implications of drones in cities. We argue that while a variety of strategies are clearly deployed within this ad—the redesign of the body of the drone, the attempt to negate the relation between drones and violence, and finally, through the reconfiguration of the drone eye from the eye that 'watches' to the eye that 'sees'—the overall implications of drone technologies within city spaces warrants further investigation. Particularly as drone technologies are easily adaptable to changing environments, often concealing its security and surveillance capabilities, commercial and domestic participants in this trend must be critically aware of the potential consequences underlying the normalisation of drones as part of everyday life in the city.
In: International Journal of Social Science and Humanity: IJSSH, S. 468-471
ISSN: 2010-3646
In: Technoscience and Society Ser.
In: Sage open, Band 14, Heft 1
ISSN: 2158-2440
Scientific research is the important task of lecturers in universities. However, university lecturers often struggle to balance research and teaching and focus more on teaching than research. In addition, the motivation for lecturers to do research is a little. This article surveys lecturers at some universities in Vietnam to find the factors that motivate lecturers to do science. The motivating factors include intrinsic factors (creativity, passion…), extrinsic factors (financial, promotion ..), and barriers to the scientific research activities of lecturers. Research results show that intrinsic and extrinsic factors positively impact the scientific research activities of lecturers, and the barrier factors negatively affect the research activities of lectures. Based on the research results, the authors make some suggestions to strengthen further the research activities of lecturers at universities in Vietnam.
In: Corporate reputation review, Band 26, Heft 3, S. 167-178
ISSN: 1479-1889