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The opportunities andrisks of employmentunder the impact ofartificialintelligence :доклад, тезисыдоклада Guzueva ElinaKsenofontov AlexanderAun Danil2025 год

The opportunities and risks of employment under the impact of artificial intelligence : доклад, тезисы доклада
доклад, тезисы доклада, статья из сборника материалов конференций

Дополнительные ссылки: eLibrary · Источник статьи
База данных: Каталог библиотеки СФУ
Библиографическое описание: The opportunities and risks of employment under the impact of artificial intelligence : доклад, тезисы доклада / E. E. Guzueva, A. A. Ksenofontov, D. D. Aun. - [S. l. : s. n.], 2025. - Текст : непосредственный // ITM Web of Conferences : III International Workshop / Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-III 2024) (2024 ; 02.12 - 04.12 ; Krasnoyarsk). - Krasnoyarsk, 2025. - P. 4001. - This work was supported by the Ministry of Science and Higher Education of the Russian Federation (Grant No.075-15-2022-1121). - DOI 10.1051/itmconf/20257204001.
Аннотация: This paper studies the complex relationship between artificial intelligence and employment, exploring both opportunities and challenges presented by this rapidly evolving technology. As artificial intelligence continues to advance at an unprecedented pace, it is reshaping industries and raising significant concerns about its impact on jobs. The research investigates how artificial intelligence is capable of not only transforming existing roles but also potentially eliminating certain positions entirely. The study analyzes potential challenges posed by artificial intelligence integration in the workforce and proposes possible solutions to prepare for upcoming shifts in the job market. The importance of proactive measures to address challenges and harness opportunities in the evolving landscape of work is emphasized.
Год издания: 2025
Авторы: Guzueva Elina , Ksenofontov Alexander , Aun Danil
Издательство: Krasnoyarsk
Источник: ITM Web of Conferences
Номера страниц: 4001
Держатель оригинала документа: Kabardino-Balkarian State University, Kadyrov Chechen State University, Siberian Federal University
Мероприятие: Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-III 2024) (Krasnoyarsk, 2024 ; 02.12 - 04.12)
Количество экземпляров:
Твёрдая копия издания отсутствует в фонде библиотеки

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