The Impact of Artificial Intelligence on Human Capital

人工智能对人力资本的影响

• 批准号: 2901809
• 金额: --
• 依托单位: London School of Economics and Political Science
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2901809
• 关键词: Impact; Artificial; Intelligence; Human; Capital

Introduction: Reflecting on recent developments in Artificial Technology (AI), I personally am interested in the bigger picture impact of AI on human capital and its potential to shape the future of work and organizations. Consecutively, AI can have significant implications for the labor market, the economy, and society itself. While these technologies promise to spur the growth of firms, there is also growing concern that they may displace workers, alter industry trajectories, and reshape organizations in ways that are not yet fully understood. My thesis project aims to make a meaningful contribution to the academic literature by providing new insights into the consequences of digital innovations in the realm of AI technology on human capital within businesses and its development. Specifically, my research aims to answer the following questions: when and where do AI and digitalization substitute or complement skilled labor within organizations? What are their effects on the value that human capital can create in companies, and consequently, on the value that individuals can capture through wages?Literature: As artificial intelligence drives technology and business innovation, businesses are transforming their processes, operations, and structures. Thus, it is relevant to understand the potential changes within the firms related to AI technology to prepare the society for these potential profound changes. This research area promises interesting insights, as AI can have conflicting influences on a firm's human capital developments through the two conflicting effects: automation and augmentation. Sub-areas of AI effects, e.g., need for reskilling and upskilling, are being investigated. However, future research recommendations indicate that there is a lack of insights into the change scope and its boundaries. Methodology: The goal is to follow a mixed-method research design, using both quantitative and qualitative methods. To build the theoretical background of the thesis, a literature review needs to be carried out first. The review should consider topics like artificial intelligence management, human capital development and innovation strategy, but is not limited to them. To ensure the systematic nature of the analysis, established specifications serve as methodological guidelines for the theoretical part. My goal is to perform large-scale and meaningful data analysis as backbone of my research. The data needs to be collected from multiple sources including large-scale datasets on individuals and firms that have implemented AI and digitalization technologies. The quantitative data will be analyzed using econometric methods to achieve my research goal. Furthermore, I consider extended qualitative case studies to be suitable for modifying or supplementing existing research as I have already gained experience in this discipline during my Master thesis.Conclusion: The findings of this project will contribute to the academic literature and provide practical insights for policymakers and managers. Overall, this research proposal aims to provide a deeper understanding of the interactions between AI, digitalization and human capital in firms and its implications for the future. The results of this study will provide practical insights for policymakers and managers on how to effectively manage the impact of AI and digitalization on human capital in firms.

简介：反思人工技术（AI）的最新发展，我个人对AI对人力资本的更大影响及其塑造工作和组织未来的潜力感兴趣。因此，人工智能可以对劳动力市场、经济和社会本身产生重大影响。虽然这些技术有望刺激企业的增长，但人们也越来越担心它们可能会取代工人，改变行业轨迹，并以尚未完全理解的方式重塑组织。我的论文项目旨在为学术文献做出有意义的贡献，为人工智能技术领域的数字创新对企业人力资本及其发展的影响提供新的见解。具体来说，我的研究旨在回答以下问题：人工智能和数字化何时何地取代或补充组织内的熟练劳动力？它们对人力资本在公司中创造的价值以及个人通过工资获得的价值有何影响？文献：随着人工智能推动技术和业务创新，企业正在转变其流程，运营和结构。因此，了解与人工智能技术相关的公司内部的潜在变化，为社会应对这些潜在的深刻变化做好准备是非常重要的。这一研究领域有望带来有趣的见解，因为人工智能可以通过两种相互冲突的影响对公司的人力资本发展产生相互冲突的影响：自动化和增强。人工智能影响的子领域，例如，重新培训和提高技能的需要正在调查之中。然而，未来的研究建议表明，缺乏对变化范围及其边界的见解。方法：目标是遵循混合方法的研究设计，同时使用定量和定性方法。为了建立本文的理论背景，首先需要进行文献综述。审查应考虑人工智能管理、人力资本开发和创新战略等主题，但不限于这些主题。为了确保分析的系统性，建立的质量标准作为理论部分的方法指南。我的目标是进行大规模和有意义的数据分析，作为我研究的支柱。这些数据需要从多个来源收集，包括已经实施人工智能和数字化技术的个人和公司的大规模数据集。为了达到研究目的，本文将使用计量经济学的方法对定量数据进行分析。此外，我认为扩展的定性案例研究是适合修改或补充现有的研究，因为我已经在这门学科的经验，在我的硕士论文。结论：这个项目的研究结果将有助于学术文献，并提供政策制定者和管理者的实际见解。总的来说，这项研究提案旨在更深入地了解人工智能，数字化和企业人力资本之间的相互作用及其对未来的影响。这项研究的结果将为政策制定者和管理者提供实用的见解，帮助他们有效地管理人工智能和数字化对企业人力资本的影响。