TY - GEN
T1 - Chatbots in paradigm shifting for improving gig workers’ labor conditions
AU - Arruda, Monique de Souza
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - In the field of gig work and digital platforms, this article aims to investigate the improvement of workers’ working conditions through the strategic implementation of chatbots. Using the resources of artificial intelligence, the study explores how chatbots could work in favor of platform workers, in the opposite direction to the current application of algorithmic management and its tools, such as recommendation algorithms, used for the unilateral purpose of potential increased profit by platforms. After problematizing the gaps that are harmful to platform workers when interacting with them in their daily work routine, an empirical typology of chatbots adjustable to the presupposed needs is suggested. These AI-driven chatbots, functioning as virtual advisors, not only tailor recommendations based on individual skills and preferences but also serve as immediate channels for answering queries. The expected results highlight a potential transformative impact on worker satisfaction, task efficiency and general well-being, portraying the integration of chatbot technology as a promising path to promoting a more humane and supportive work environment.
AB - In the field of gig work and digital platforms, this article aims to investigate the improvement of workers’ working conditions through the strategic implementation of chatbots. Using the resources of artificial intelligence, the study explores how chatbots could work in favor of platform workers, in the opposite direction to the current application of algorithmic management and its tools, such as recommendation algorithms, used for the unilateral purpose of potential increased profit by platforms. After problematizing the gaps that are harmful to platform workers when interacting with them in their daily work routine, an empirical typology of chatbots adjustable to the presupposed needs is suggested. These AI-driven chatbots, functioning as virtual advisors, not only tailor recommendations based on individual skills and preferences but also serve as immediate channels for answering queries. The expected results highlight a potential transformative impact on worker satisfaction, task efficiency and general well-being, portraying the integration of chatbot technology as a promising path to promoting a more humane and supportive work environment.
UR - https://www.scopus.com/pages/publications/85208169428
U2 - 10.1007/978-981-97-5035-1_1
DO - 10.1007/978-981-97-5035-1_1
M3 - Conference contribution
AN - SCOPUS:85208169428
SN - 9789819750344
T3 - Lecture Notes in Networks and Systems
SP - 1
EP - 12
BT - Proceedings of 9th International Congress on Information and Communication Technology
A2 - Yang, Xin-She
A2 - Sherratt, R. Simon
A2 - Dey, Nilanjan
A2 - Joshi, Amit
PB - Springer
T2 - 9th International Congress on Information and Communication Technology, ICICT 2024
Y2 - 19 February 2024 through 22 February 2024
ER -