人工智能在就业过程中的法律问题

Q3 Social Sciences Stanovnistvo Pub Date : 2023-12-15 DOI:10.59954/stnv.546
Helga Špadina
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引用次数: 0

摘要

将人工智能引入生活的各个领域是近代史上最具变革性的进程。这也是一个高度动态的过程,由于技术发展的速度,现有的法律框架非常有限,无法解决人权、道德、透明度、隐私、安全和问责等问题。过去几年,人工智能开始重塑就业流程。将人工智能引入就业流程的积极方面包括:工作匹配的效率和质量、流程的数字化和加速、处理海量数据并将求职者与现有空缺职位相匹配的能力、减轻职业介绍所员工的行政负担并赋予他们战略性和创新性的角色。当前,欧洲国家面临的人口挑战导致劳动力迁移增加,需要改变招聘流程,而所有这些都是不可或缺的。本文探讨了当前人工智能面临的挑战,即如何在就业过程中实现以人为本的价值观和人工智能使用的公平性,防止人工智能工具的算法偏见和歧视性应用。为了最大限度地利用人工智能的优势,我们需要制定一个可执行、具有包容性和适应性的监管框架(经合组织),特别是要知道大多数人工智能解决方案都是私有的,是为商业目的而开发的。
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Legal aspects of artificial intelligence in the employment process
The introduction of artificial intelligence in all domains of life is the most transformative process in recent history. It is also a highly dynamic process, and due to the pace of technological development, a very limited legal framework is available to address issues of human rights, ethics, transparency, privacy, safety and accountability. During the last few years, artificial intelligence started to reshape employment processes. Positive aspects of the introduction of AI in the employment process are efficiency and quality in job matching, digitalisation and acceleration of the process, ability to process large data and match job seekers to available vacancy announcements, the alleviation of administrative burdens of employees of employment agencies and giving them strategic and innovative roles. All these are indispensable in present times when demographic challenges in European countries are leading to increased labour migrations and require changes in the recruitment process. The paper explores the current challenges of AI, i.e. how to achieve human-centred values and fairness of AI use during the employment process, preventing algorithmic bias and discriminatory application of AI tools. In order to harness the maximum benefits of AI, we need to develop a regulatory framework that would be enforceable, inclusive and adaptive (OECD), particularly knowing that most AI solutions are privately owned and developed for commercial purposes.   
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来源期刊
Stanovnistvo
Stanovnistvo Social Sciences-Social Sciences (all)
CiteScore
0.60
自引率
0.00%
发文量
7
审稿时长
15 weeks
期刊最新文献
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