Artificial intelligence in the service of health and safety at work: Perspectives and challenges from now to 2035 - A prospective study

Author:

Malenfer Marc,Sarrey Michael,Clerté Jennifer,Hery MichelORCID,Bieri Martin,Braunschweig Bertrand,Chatellier Régis,Fates Nazim,Halluin Sylvain,de Jouvenel François,Mandinaud Vincent,Munoz Jorge,Olympio Anani,Silvestre Thimotée,Soupizet Jean-François

Abstract

Artificial intelligence systems are developing very rapidly in all areas. This is particularly true in the case of work, where we are seeing their use in the robotisation of industrial production or the automation of certain functions in services (from chatbots to robotic process automation). In the context of a prospective study devoted to the use of artificial intelligence for occupational risk prevention, a very diverse project group was set up: occupational health practitioners, artificial intelligence specialists, lawyers, futurists, sociologists, and everyday users of artificial intelligence techniques. Using the method of contrasting scenarios, this project group successively documented variables likely to influence the use of artificial intelligence in the service of occupational health and safety, put forward hypotheses on their possible development over the next ten to fifteen years, and constructed scenarios. These relatively general scenarios were then adapted specifically to the subject studied, in particular during seminars devoted to specific uses (possible uses of artificial intelligence tools in epidemiology and accidentology, technologies for securing working environments using artificial intelligence, advanced robotics using artificial intelligence). Based on all the material produced during the study, the study finally resulted in recommendations of the project group on the use of AI in occupational risk prevention proposed for discussion. The subject is indeed of interest to the whole community of practitioners involved in occupational risk prevention whose practices will certainly be affected by these new technological developments.

Publisher

Qeios Ltd

Subject

General Medicine

Reference26 articles.

1. Van den Hoven van Genderen R (2017) Privacy and Data Protection in the Age of Pervasive Technologies in AI and Robotics. Eur Data Prot L Rev. 3:338. doi:10.21552/edpl/2017/3/8

2. Nitto H, Taniyama D, Inagaki H (2017) Social acceptance and impact of robots and artificial intelligence. NRI Papers 211:1-15. Available via: https://www.nri.com/-/media/Corporate/en/Files/PDF/knowledge/report/cc/papers/2017/np2017211.pdf. Accessed 8 July 2023

3. Yang K-C, Varol O, Davis CA et al (2019) Arming the public with artificial intelligence to counter social bots. Hum Behav & Emerg Tech 1:48-61. doi:10.1002/hbe2.115

4. Koski O, Husso K (2018) Work in the age of artificial intelligence: Four perspectives on the economy, employment, skills and ethics. Available via: https://julkaisut.valtioneuvosto.fi/handle/10024/160980. Accessed 8 July 2023

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3