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Record W3174828050 · doi:10.29173/irie157

Google Glass: On the implications of an advanced military command and control system for civil society.

2013· article· en· W3174828050 on OpenAlexvenueno aff
Ute Bernhardt

Bibliographic record

VenueThe International Review of Information Ethics · 2013
Typearticle
Languageen
FieldComputer Science
TopicAugmented Reality Applications
Canadian institutionsnot available
Fundersnot available
KeywordsCommand and controlControl (management)Augmented realitySpace (punctuation)EngineeringComputer securityCivil societyAeronauticsComputer scienceLawHuman–computer interactionPolitical scienceTelecommunicationsArtificial intelligencePolitics

Abstract

fetched live from OpenAlex

In the early 1990ies, the U.S. Army presented the first experimental units of a future soldier’s equipment, featuring a soldier with a networked video camera, various sensors, and connecting the system to the world wide military command and control network. In June, 2012, Google unveiled its prototype Google Glass, a device capable of video and audio capturing with additional augmented reality functions. In this article, a comparison between those military and civilian augmented reality systems and typical application settings will be used to ask for the implications of this kind of technology for the civil society. It will especially be focused on the consequences for civil safety, when the full range of cooperation capabilities available with Google Glass-like devices will be employed by organized groups of criminals or terrorists. In conclusion, it will be argued to assess the implications of this technology and prepare for a new degree of coordination in the activities of groups in the civilian space.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.953
Threshold uncertainty score0.191

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.310
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2013
Admission routes1
Has abstractyes

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