The role of standardisation in the adoption of artificial intelligence in the workplace

Author:

Kićanović AnaORCID

Abstract

Integrating Artificial Intelligence (AI) into the workplace is imperative for navigating the challenges and opportunities of the fifth industrial revolution. In recent years, bringing AI and related technologies into the workplace has increased productivity, cost efficiency and work performance. Still, these changes in the work environment raised issues such as dehumanisation, lack of employee trust, and high job insecurity, leading to difficulties in AI adoption. At the same time, there are many standardisation activities in the field of AI, such as security standards, ethical guidelines, interoperability protocols, and others. However, it is believed that standardisation endeavours are still not close to the number of developed solutions that use AI technology. The problem analysed in this research is the role of standardisation in adopting AI in the workplace. To investigate this relationship, data was collected using a survey developed based on OECD research on the impact of AI and an extensive literature review. To answer the raised question, the research focus will be on exploring the impact of company and employee characteristics on the perceived role of standardisation in adopting AI in the workplace. As statistical tools, descriptive statistics and hypothesis testing will be used. It is believed that this research will give insights into whether companies and their employees recognise standardisation and standards as tools for adopting AI in the workplace to ensure interoperability, trustworthiness, and safety and security of AI solutions.

Publisher

University of Belgrade, Technical Faculty in Bor

Reference29 articles.

1. Abousaber, I., & Abdalla, H. (2023). Review of Using Technologies of Artificial Intelligence in Companies. International Journal of Communication Networks and Information Security (IJCNIS), 15(1), 217-228. https://doi.org/10.17762/ijcnis.v15i1.5743;

2. Badhurunnisa, M., & Sneha Dass, V. (2023). Challenges and Opportunities Involved in Implementing AI in Workplace. International Journal For Multidisciplinary Research, 5(6). https://doi.org/10.36948/ijfmr.2023.v05i06.10001;

3. Brundage, M., Avin, S., Clark, J., Toner, H., Eckersley, P., Garfinkel, B., Dafoe, A., Scharre, P., Zeitzoff, T., Filar, B., Anderson, H., Roff, H., Allen, G. C., Steinhardt, J., Flynn, C., HÉigeartaigh, S. Ó., Beard, S., Belfield, H., Farquhar, S., … Amodei, D. (2018). The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation;

4. Chaudhry, I. S., Paquibut, R. Y., & Chabchoub, H. (2022). Factors Influencing Employees Trust in AI & its Adoption at Work: Evidence from United Arab Emirates. 2022 International Arab Conference on Information Technology (ACIT), 1-7. https://doi.org/10.1109/ACIT57182.2022.9994226;

5. Cihon, P. (2019). Standards for AI Governance: International Standards to Enable Global Coordination in AI Research & Development. https://www.fhi.ox.ac.uk/wpcontent/uploads/Standards_-FHI-Technical-Report.pdf;

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