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The ML model through the eyes of a lawyer: legal nature, protection of rights, responsibility. / Мельникова, Елена Николаевна.

2023. Работа представлена на OpenTalks.AI-2023, Ереван, Армения.

Результаты исследований: Материалы конференций › материалы › Рецензирование

Harvard

Мельникова, ЕН 2023, 'The ML model through the eyes of a lawyer: legal nature, protection of rights, responsibility', Работа представлена на OpenTalks.AI-2023, Ереван, Армения, 5/03/23 - 8/03/23.

APA

Мельникова, Е. Н. (2023). The ML model through the eyes of a lawyer: legal nature, protection of rights, responsibility. Работа представлена на OpenTalks.AI-2023, Ереван, Армения.

Vancouver

Мельникова ЕН. The ML model through the eyes of a lawyer: legal nature, protection of rights, responsibility. 2023. Работа представлена на OpenTalks.AI-2023, Ереван, Армения.

Author

Мельникова, Елена Николаевна. / The ML model through the eyes of a lawyer: legal nature, protection of rights, responsibility. Работа представлена на OpenTalks.AI-2023, Ереван, Армения.

BibTeX

@conference{50a3796ec9ba469f9f48ce0fd651f888,
title = "The ML model through the eyes of a lawyer: legal nature, protection of rights, responsibility",
abstract = "Sometimes creating an ML-model requires significant resources, such a model can turn out to be unique. The ML developer's rights must be protected somehow, and there are legal remedies for this. In addition, during the working application of the ML-model, harm may be caused, therefore it is necessary to create a method for finding the tortfeasor when such harm is caused by artificial intelligence applications.",
author = "Мельникова, {Елена Николаевна}",
year = "2023",
language = "русский",
note = "OpenTalks.AI-2023 ; Conference date: 05-03-2023 Through 08-03-2023",
url = "https://opentalks.ai/en/timetable2023#!/tab/646378733-2",

}

RIS

TY - CONF

T1 - The ML model through the eyes of a lawyer: legal nature, protection of rights, responsibility

AU - Мельникова, Елена Николаевна

PY - 2023

Y1 - 2023

N2 - Sometimes creating an ML-model requires significant resources, such a model can turn out to be unique. The ML developer's rights must be protected somehow, and there are legal remedies for this. In addition, during the working application of the ML-model, harm may be caused, therefore it is necessary to create a method for finding the tortfeasor when such harm is caused by artificial intelligence applications.

AB - Sometimes creating an ML-model requires significant resources, such a model can turn out to be unique. The ML developer's rights must be protected somehow, and there are legal remedies for this. In addition, during the working application of the ML-model, harm may be caused, therefore it is necessary to create a method for finding the tortfeasor when such harm is caused by artificial intelligence applications.

M3 - материалы

T2 - OpenTalks.AI-2023

Y2 - 5 March 2023 through 8 March 2023

ER -

ID: 118490840