Determining Your â€˜Fashion Identityâ€™ in Fashion Recommender Systems and Issues Surrounding the Right to Privacy
Algorithmic personalisation in the fashion domain illustrates the illusion of reality. This paper offers an outlook on the implications of artificial intelligence (AI) techniques on autonomy and informational privacy focusing on recommender engines in fashion e-commerce. Fashion recommender systems support the optimisation of social processes that are based on implementing â€˜fashion narrativesâ€™ on style and emotional attributes on clothing in the algorithmic process.
Whilst fashion recommender systems illustrate incomplete semblance of individual behaviour, it bases the operation on the responsiveness of individual behaviour, impacting an individualâ€™s autonomy. In this respect, algorithmic processes engage in a process of interactive value creation based on the creation of an imaginary that affects the individualâ€™s subjective experience of self, and a personâ€™s identification of the self in a social context. We need a deeper understanding of conditions that shape an individualâ€™s expression of inter-personal values regarding fashion recommender systems. An analysis of the so-called â€˜right to explanationâ€™ in the General Data Protection Regulation reveals that solving issues of interpretability and explainability in fashion recommender systems offers a starting point to assess the parameters of informational privacy in algorithmic personalisation systems.
EJLT is an open access journal, aiming to disseminate academic work and perspectives as widely as possible to the benefit of the author and the author’s readers. It is the assumption of the EJLT that authors who publish in the journal wish their work to be available as freely and as widely as possible through the open access publishing channel.
Authors who publish with EJLT will retain copyright and moral rights in the underlying work but will grant all users the rights to copy, store and print for non-commercial use copies of their work. Commercial mirroring may also be carried out with the consent of the journal. The work must remain as published – without redaction or editing – and must clearly state the identity of the author and the originating EJLT url of the article. Any commercial use of the author’s work - apart from mirroring - requires the permission of the author and any aspects of the article which are the property of EJLT (e.g. typographical format) requires permission from EJLT.
Authors can sometimes become no longer contactable (through, for example, death or retirement). If this occurs, any rights in the work will pass to the European Journal of Law and Technology which will continue to make the work available in as wide a manner as possible to achieve the aims of open access and ensuring that an author's work continues to be available. An author - or their estate - can recover these rights from EJLT by providing contact information.
The European Journal of Law and Technology holds rights in format, publication and dissemination.
EJLT, as a non-commercial organisation - which receives donations to allow it to continue publishing – must retain information on reader access to journal articles. This means that we will not give permission to mirror the journal unless we can be provided with full details as to reader access to each and every journal article. We prefer and encourage deep linking rather than mirroring. Encouragement is thus given for all users – commercial and non-commercial – to provide indexes and links to articles in the EJLT where the index or link points to the location of the article on the EJLT server, rather than to stored copies on other servers.
Please contact the European Journal of Law and Technology if you are in any doubt as to what this statement of use covers.