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2020 | OriginalPaper | Buchkapitel

Image Recognition in Child Sexual Exploitation Material—Capabilities, Ethics and Rights

verfasst von : Andy Phippen, Emma Bond

Erschienen in: Policing in the Era of AI and Smart Societies

Verlag: Springer International Publishing

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Abstract

Image recognition—the use of software to identify images for a specific task—has long been proposed as a solution to addressing some of the more laborious and technical complex tasks such as the triaging of child abuse and exploitation imagery. However, a lack of knowledge and understanding of the capabilities, and limits, of image recognition sometimes results in high levels of expectation that cannot be delivered technically. In tackling key challenges in the policing child abuse material in areas such as victim identification, image categorisation and the prevention of replication and communication of images, image recognition algorithms have been proposed as potential solutions. However, a case study approach highlights concerns around issues such as data bias, lack of training data, and data ethics, which highlight that the complexity of image recognition in this domain might not be as effective as one might wish.

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Fußnoten
2
In the case of the UK Passport system (https://​www.​gov.​uk/​photos-for-passports/​), these rules are detailed as: contain no other objects or people, be taken against a plain light-coloured background, be in clear contrast to the background, not have ‘red eye’. And the subject should: be facing forwards and looking straight at the camera; have a plain expression and your mouth closed; have your eyes open and visible; not have hair in front of your eyes; not have a head covering (unless it’s for religious or medical reasons); not have anything covering your face; not have any shadows on your face or behind you.
 
Metadaten
Titel
Image Recognition in Child Sexual Exploitation Material—Capabilities, Ethics and Rights
verfasst von
Andy Phippen
Emma Bond
Copyright-Jahr
2020
DOI
https://doi.org/10.1007/978-3-030-50613-1_8