Ethical AI for HR Practices: Addressing Emerging Deepfake Risks

Abstract

In contemporary times, modern technologies like Artificial Intelligence (AI), Cloud Computing, Machine Learning, Industry 4.0, and the Internet of Things have played a significant role in transforming industrial practices through digitalization. It has become imperative to adapt these advancements for organizational relevance, growth, and effectiveness, and Human Resource (HR) practices are no exceptions. However, the rapid proliferation of these technologies has also led to the production, dissemination, and use of deepfake data. This paper presents a systematic literature review of the recent developments with a particular focus on addressing the use of Ethical AI in HR practices for combating the risks posed by deepfakes. It has been carried out to discern the scholarships related to HR practices and Ethical AI, to understand the level of heightened awareness regarding these issues. This systematic review employed PRISMA methodology to analyse peer-reviewed literature sourced from the SCOPUS and Google Scholar databases. Drawing on a systematic review of 49 research works, this paper makes a unique contribution by systematically synthesizing existing academic contributions to understanding the role of ethical AI in HR practices that organizations and practitioners should be aware of. The results of this research indicate a significant research gap in this field of academia, particularly at the intersection of deepfake threats and HR-specific ethical AI applications. The findings highlight how HR practices integrate ethical AI into organizations. The paper also provides suggestions on actionable strategies that can be implemented to utilize these practices as effective measures against Deepfake production and dissemination through a proposed three-level Ethical AI framework.