digitallawJournal of Digital Technologies and LawJournal of Digital Technologies and Law2949-2483Kazan Innovative University named after V. G. Timiryasov10.21202/jdtl.2023.16ktizpwdigitallaw-185Research ArticleARTICLESСТАТЬИAlgorithmic Discrimination and Privacy ProtectionАлгоритмическая дискриминация и защита неприкосновенности частной жизниhttps://orcid.org/0000-0002-6121-6775ФаллеттиЭ.FallettiE.

Элена Фаллетти – доктор наук, доцент

Scopus Author ID: https://www.scopus.com/authid/detail.uri?authorId=57040979500

Корсо Маттеотти 22, Кастелланца, 21053

Elena Faletti – PhD, Assistant Professor

Scopus Author ID: https://www.scopus.com/authid/detail.uri?authorId=57040979500

Corso Matteotti 22, Castellanza, 21053

efalletti@liuc.itУниверситет Карло КаттанеоИталияUniversità Carlo Cattaneo – LIUcItaly20232006202312387–420Copyright © Falletti E., 20232023Фаллетти Э.Falletti E.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.lawjournal.digital/jour/article/view/185Objective

Objective: emergence of digital technologies such as Artificial intelligence became a challenge for states across the world. It brought many risks of the violations of human rights, including right to privacy and the dignity of the person. That is why it is highly relevant to research in this area. That is why this article aims to analyse the role played by algorithms in discriminatory cases. It focuses on how algorithms may implement biased decisions using personal data. This analysis helps assess how the Artificial Intelligence Act proposal can regulate the matter to prevent the discriminatory effects of using algorithms.

Methods

Methods: the methods used were empirical and comparative analysis. Comparative analysis allowed to compare regulation of and provisions of Artificial Intelligence Act proposal. Empirical analysis allowed to analyse existing cases that demonstrate us algorithmic discrimination.

Results

Results: the study’s results show that the Artificial Intelligence Act needs to be revised because it remains on a definitional level and needs to be sufficiently empirical. Author offers the ideas of how to improve it to make more empirical.

Scientific novelty

Scientific novelty: the innovation granted by this contribution concerns the multidisciplinary study between discrimination, data protection and impact on empirical reality in the sphere of algorithmic discrimination and privacy protection.

Practical significance

Practical significance: the beneficial impact of the article is to focus on the fact that algorithms obey instructions that are given based on the data that feeds them. Lacking abductive capabilities, algorithms merely act as obedient executors of the orders. Results of the research can be used as a basis for further research in this area as well as in law-making process.

Цель

Цель: появление цифровых технологий, таких как искусственный интеллект, стало вызовом для государств всего мира. Оно породило множество рисков, связанных с нарушением прав человека, включая права на неприкосновенность частной жизни и человеческое достоинство. Это определяет актуальность данного исследования. Цель статьи – проанализировать роль алгоритмов в случаях дискриминации и выяснить, каким образом алгоритмы могут способствовать предубежденности при принятии решений на основе персональных данных. Проведенный анализ помогает оценить проект закона об искусственном интеллекте, направленный на регулирование данной проблемы для предотвращения дискриминации при использовании алгоритмов.

Методы

Методы: в работе применялись методы эмпирического и сравнительного анализа. Сравнительный анализ позволил выявить сходства и различия существующего регулирования и положений проекта закона об искусственном интеллекте. С помощью эмпирического анализа рассмотрены реальные примеры алгоритмической дискриминации.

Результаты

Результаты: результаты исследования показывают, что Закон об искусственном интеллекте нуждается в доработке, так как он остается на уровне дефиниций и недостаточно опирается на эмпирический материал. Автор выдвигает ряд предложений по совершенствованию данного законопроекта.

Научная новизна

Научная новизна: заключается в мультидисциплинарности данной работы, рассматривающей вопросы дискриминации, защиты данных и влияния на эмпирическую реальность в сфере алгоритмической дискриминации и охраны неприкосновенности частной жизни.

Практическая значимость

Практическая значимость: состоит в привлечении внимания к тому факту, что алгоритмы выполняют инструкции, составленные на основе сообщенных им данных. Не имея возможностей для абдукции, алгоритмы действуют лишь как послушные исполнители приказов. Результаты работы могут использоваться в качестве основы для будущих исследований в данной области и в законотворческом процессе.

 

 

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The authors declare that there are no conflicts of interest present.