Invisible Images: Your Pictures Are Looking at You

Paglen, Trevor

doi:10.1002/ad.2383

Cited by 56 publications

(75 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…31. Trevor Paglen, "Invisible Images (Your Pictures Are Looking at You)," The New Inquiry, December 8, 2016, accessed June 23, 2019, https://thenewinquiry.com/invisible-images-yourpictures-are-looking-at-you/. 32.…”

Section: Monstersmentioning

confidence: 99%

"Shitty Automation": Art, Artificial Intelligence, Humans in the Loop

Paulsen¹

2020

median

View full text Add to dashboard Cite

This essay adapts the concept of “shitty automation,” developed by Brian Merchant to name frustrating experiences with automated systems, to describe how human input—our labor, bodies, biases, prejudices, and desires—remains invisibly present in automated systems. Tracing a lineage of automation from Jacques de Vaucanson’s Canard Digérateur (1739) and Wolfgang von Kempelen’s mechanical Turk (1770) to contemporary artist Trevor Paglen, who uses Generative Adversarial Networks (GANs) to create artworks, this essay considers how humans “stay in the loop” in automation and what “shitty automation” reveals about human culture, our desires, and the evolution of AI.

show abstract

Section: Monstersmentioning

confidence: 99%

"Shitty Automation": Art, Artificial Intelligence, Humans in the Loop

Paulsen¹

2020

median

View full text Add to dashboard Cite

show abstract

“…From this perspective, the technical success behind algorithmic face recognition unveils a series of political and ethical questions. Most notoriously, the unscrupulous use of this technology by certain institutions has led a series of authors to think of algorithmic face recognition as a return to the "dark ages" of phrenology and physiognomy that restates longstanding power relations through new technical devices (Beller 2018;Edkins 2015;Gates 2011;Paglen 2016;Dewey-Hagborg 2015;Agüera, Todorov, and Mitchell 2017). 1 Jonathan Beller (2018) contends that algorithms are not a neutral technology of pattern recognition but instead a social mechanism that reifies existing class, race, and gender structures.…”

Section: Algorithmic Face Recognitionmentioning

confidence: 99%

“…From this second perspective, what matters is not so much what images represent or how they do it but what they perform. Furthermore, as Trevor Paglen (2016) suggests, the shift from representation to performativity is forcing visual artists to redefine the strategies through which art engages with political and social issues such as surveillance. As it will be shown, the three selected artworks remain ambiguous regarding these two modes of understanding the relation between images and power, highlighting the difficulties in conceptualising and redefining new critical strategies for artists today.…”

Section: Introductionmentioning

confidence: 99%

Critical Surveillance Art in the Age of Machine Vision and Algorithmic Governmentality: Three Case Studies

Celis

2020

View full text Add to dashboard Cite

This article explores the political dimension of three surveillance artworks: Rafael Lozano-Hemmer’s Level of Confidence (2015), Heather Dewey-Hagborg’s Probably Chelsea (2017), and Trevor Paglen’s Machine Readable Hito (2017). These three artworks deploy new technologies of machine vision and algorithmic face recognition in order to develop a critical account of surveillance. This article’s main hypothesis is that the critical potential of the three selected artworks stems from their ability to render visible a twofold tension that defines contemporary social formations. First, these works nurture a certain ambiguity between two modes of understanding the relation between images and power (representation and performativity), highlighting the difficulties in conceptualising and redefining new critical strategies for artists today. Second, this article highlights the tension between individualisation and personalisation as two parallel tendencies of contemporary power. In this context, the modern notion of political emancipation, grounded mainly on the figure of the individual subject, has to be called into question. The three selected artworks point out the intersection between two logics of power (discipline and governmentality), drawing attention to the limits of the notion of emancipation for a critique of algorithmic face recognition technologies.

show abstract

“…The amounts of digital pictures taken and shared are drastically increasing [24]. Nearly five trillion photos are stored online at a rising rate of more than a trillion a year [18]. A huge part of the available data is left out when only text is considered for information extraction [28].…”

Section: Introductionmentioning

confidence: 99%

KOSI- Key Object Detection for Sentiment Insights

Dimanov

Rostami

2019

Advances in Intelligent Systems and Computing

View full text Add to dashboard Cite

This paper explores an original approach of using computer vision, data mining and an expert system to facilitate marketers and other interested parties to take automated data-driven decisions with the use of actionable insights. The system uses a state-of-the-art algorithm to retrieves all the images of a desired Instagram user profile. Then, the data is passed through a combination of different convolutional neural networks for object detection and a rule-based translation system to determine the interests of this profile user. Further, using a separately trained convolutional neural network with an original dataset developed as part of this study, personality insights are derived. The results from the conducted experiments yield a satisfactory prediction of interests and not very promising results for the personality prediction.

show abstract

Invisible Images: Your Pictures Are Looking at You

Cited by 56 publications

References 0 publications

"Shitty Automation": Art, Artificial Intelligence, Humans in the Loop

"Shitty Automation": Art, Artificial Intelligence, Humans in the Loop

Critical Surveillance Art in the Age of Machine Vision and Algorithmic Governmentality: Three Case Studies

KOSI- Key Object Detection for Sentiment Insights

Contact Info

Product

Resources

About