Making AI Machines Work for Humans in FoW
Making AI Machines Work for Humans in FoW
复制标题
让人工智能机器在 FoW 中为人类服务
DOI:
10.1145/3442322.3442327
复制
发表时间:
2020
期刊:
影响因子:
--
通讯作者:
Sihem Amer-Yahia et al.
中科院分区:
文献类型:
--
作者:
Sota Kudo;Zheng Chen;Naoaki Ono;MD Altaf-Ul-Amin;Shigehiko Kanaya;Ming Huang;石田志保,楠田佳緒,山下和彦,角典以子,田中聖人;Sihem Amer-Yahia et al.
The Future of Work (FoW) is witnessing an evolution where AI systems (broadly machines or businesses) are used to the benefit of humans. Work here refers to all forms of paid and unpaid labor in both physical and virtual workplaces and that is enabled by AI systems. This covers crowdsourcing platforms such as Amazon Mechanical Turk, online labor marketplaces such as TaskRabbit and Qapa, but also regular jobs in physical workplaces. Bringing humans back to the frontier of FoW will increase their trust in AI systems and shift their perception to use them as a source of self-improvement, ensure better work performance, and positively shape social and economic outcomes of a society and a nation. To enable that, physical and virtual workplaces will need to capture human traits, behavior, evolving needs, and provide jobs to all. Attitudes, values, opinions regarding the processes and policies will need to be assessed and considered in the design of FoW ecosystems.
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DOI:
--
发表时间:
2017
期刊:
AAAI Conference on Human Computation & Crowdsourcing
影响因子:
--
作者:
D. Haas;M. Franklin
通讯作者:
M. Franklin
DOI:
--
发表时间:
2017
期刊:
AAAI Conference on Human Computation & Crowdsourcing
影响因子:
--
作者:
Karan Goel;Shreya Rajpal;Mausam
通讯作者:
Mausam
DOI:
10.1145/3233391.3233544
发表时间:
2018
期刊:
Proceedings of the 14th International Symposium on Open Collaboration
影响因子:
--
作者:
Jonathan T. Morgan;Aaron L Halfaker
通讯作者:
Aaron L Halfaker
影响因子:
3.2
作者:
Marco Brambilla;S. Ceri;A. Mauri;Riccardo Volonterio
通讯作者:
Riccardo Volonterio
DOI:
--
发表时间:
2018
期刊:
Proc. ACM Hum. Comput. Interact.
影响因子:
--
作者:
Nai;D. Hicks;Kurt Luther
通讯作者:
Kurt Luther