Applying ethics to AI in the workplace: the design of a scorecard for Australian workplace health and safety

Author:

Cebulla AndreasORCID,Szpak ZygmuntORCID,Howell CatherineORCID,Knight GenevieveORCID,Hussain SazzadORCID

Abstract

AbstractArtificial Intelligence (AI) is taking centre stage in economic growth and business operations alike. Public discourse about the practical and ethical implications of AI has mainly focussed on the societal level. There is an emerging knowledge base on AI risks to human rights around data security and privacy concerns. A separate strand of work has highlighted the stresses of working in the gig economy. This prevailing focus on human rights and gig impacts has been at the expense of a closer look at how AI may be reshaping traditional workplace relations and, more specifically, workplace health and safety. To address this gap, we outline a conceptual model for developing an AI Work Health and Safety (WHS) Scorecard as a tool to assess and manage the potential risks and hazards to workers resulting from AI use in a workplace. A qualitative, practice-led research study of AI adopters was used to generate and test a novel list of potential AI risks to worker health and safety. Risks were identified after cross-referencing Australian AI Ethics Principles and Principles of Good Work Design with AI ideation, design and implementation stages captured by the AI Canvas, a framework otherwise used for assessing the commercial potential of AI to a business. The unique contribution of this research is the development of a novel matrix itemising currently known or anticipated risks to the WHS and ethical aspects at each AI adoption stage.

Funder

Flinders University

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Human-Computer Interaction,Philosophy

Reference71 articles.

1. ADAPT Centre, Trinity College Dublin, Dublin City University (2017) Ethics Canvas v1.8. www.ethicscanvas.org ADAPT Centre, Trinity College Dublin & Dublin City University. Accessed 17 Apr 2021

2. Agrawal A, Gans J, Goldfarb A (2018b) Prediction machines: the simple economics of Artificial Intelligence. Harvard Business Review Press, Boston

3. Agrawal A, Gans J, Goldfarb A (2018a) A simple tool to start making decisions with the help of AI. Harv. Bus. Rev. https://hbr.org/2018a/04/a-simple-tool-to-start-making-decisions-with-the-help-of-ai. Accessed 17 Apr 2021

4. AiGlobal (undated) Responsible AI design report card. https://ai-global.org/. Accessed 17 Apr 2021

5. Ajunwa I, Crawford K, Schultz J (2017) Limitless worker surveillance. Calif. Law Rev 105:735–776

Cited by 16 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

1. Managing workplace AI risks and the future of work;American Journal of Industrial Medicine;2024-09-02

2. AI Integration and Economic Divides: Analyzing Global AI Strategies;System Safety: Human - Technical Facility - Environment;2024-08-15

3. AI at Work: Performance Paradigms in the Age of Automation from the OCDE;2024 Portland International Conference on Management of Engineering and Technology (PICMET);2024-08-04

4. Restructuring the occupational health and safety management system in the era of artificial intelligence;Journal of Public Health;2024-07-27

5. Autonomous military systems beyond human control: putting an empirical perspective on value trade-offs for autonomous systems design in the military;AI & SOCIETY;2024-07-07

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