Declaration of veillance (Surveillance is Half-Truth)

Mann, Steve; Janzen, Ryan; Ali, Mir Adnan; Nickerson, Ken

doi:10.1109/gem.2015.7377257

Cited by 6 publications

(6 citation statements)

References 10 publications

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“…Citizen profiling can also be done through surveillance but as discussed in previous sections there can be various limitations to surveillance based system, which can be solved through the integration of surveillance with sousveillance. The work in [19] briefly discussed the issue of "sousviellance less" surveillance systems and considered such systems as a halftruth: "if buildings can wear cameras why humans cannot" [19].…”

Section: Proposed Methodology and Resultsmentioning

confidence: 99%

Research Trends in Surveillance through Sousveillance

Munir¹,

Imran²

2019

IJACSA

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Collective Intelligence is an immense research area that has wide application to cross-disciplines, like social, legal, and computation. Research trends in Surveillance find its place in the work of this area generating curated data set helpful in answering complex queries. Sousveillance is a recent term coined by researchers and had been discussed in different literatures. However our findings suggest that integration of Surviellance through Sousviellance data set has not been given much importance in collective fashion. In this literature we introduced an effective model of collective intelligence by integrating surveillance through sousviellance in a campus environment. For testbed networking devices are used to generate sousvillance data to provide validation, and cleaning to enable reliability and trust in the target object.

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Section: Proposed Methodology and Resultsmentioning

confidence: 99%

Research Trends in Surveillance through Sousveillance

Munir¹,

Imran²

2019

IJACSA

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“…Kammerer/Waitz 2015). Indeed, this idea has even been spelled out in a programmatic way-in works with titles such as "Declaration of Veillance (Surveillance is a Half-Truth)" (Mann 2015).…”

Section: Deep Learningmentioning

confidence: 99%

Reduction and Participation

Rieger¹

2019

The Democratization of Artificial Intelligence

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Three years ago, researchers at the secretive Google X lab in Mountain View, California, extracted some 10 million still images from YouTube videos and fed them into Google Brain-a network of 1,000 computers programmed to soak up the world much as a human toddler does. After three days looking for recurring patterns, Google Brain decided, all on its own, that there were certain repeating categories it could identify: human faces, human bodies and … cats.

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“…Surveillance is the veillance of hypocrisy, in the sense that, as often practiced by security guards, closely monitoring surveillance cameras, these guards tend to observe and object to individuals taking pictures in the surveilled spaces. The opposite of hypocrisy is integrity (Mann et al, 2015).…”

Section: Surveillance Is a Half-truth Without Sousveillancementioning

confidence: 99%

“…When stories told from other pointsof-view are prohibited, i.e. the capturing of evidence to support these other points-of-view is prohibited, the total captured evidence is less than the full truth (Mann et al, 2015). In this sense, surveillance often gives rise to a half-truth.…”

Section: Surveillance Is a Half-truth Without Sousveillancementioning

confidence: 99%

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Big Data is a big lie without little data: Humanistic intelligence as a human right

Mann¹

2017

Big Data & Society

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This article introduces an important concept: Transparency by way of Humanistic Intelligence as a human right, and in particular, Big/Little Data and Sur/Sous Veillance, where ''Little Data'' is to sousveillance (undersight) as ''Big Data'' is to surveillance (oversight). Veillance (Sur-and Sous-veillance) is a core concept not just in human-human interaction (e.g. people watching other people) but also in terms of Human-Computer Interaction. In this sense, veillance is the core of Human-in-the-loop Intelligence (Humanistic Intelligence rather than Artificial Intelligence), leading us to the concept of ''Sousveillant Systems'' which are forms of Human-Computer Interaction in which internal computational states are made visible to end users, allowing users (but not requiring them) to ''jump'' into the computational feedback loop whenever or wherever they want. An important special case of Sousveillant Systems is that of scientific exploration: not only is (big/little) data considered, but also due consideration must be given to how data is captured, understood, explored, and discovered, and in particular, to the use of scientific instruments to collect data and to make important new discoveries, and learn about the world. Science is a domain where bottom-up transparency is of the utmost importance, and scientists have the right and responsibility to be able to understand the instruments that they use to make their discoveries. Such instruments must be sousveillant systems!

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Declaration of veillance (Surveillance is Half-Truth)

Cited by 6 publications

References 10 publications

Research Trends in Surveillance through Sousveillance

Research Trends in Surveillance through Sousveillance

Reduction and Participation

Big Data is a big lie without little data: Humanistic intelligence as a human right

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