EXPLORING THE LAYERS: UNVEILING ETHICAL CONCERNS IN AI TALENT ACQUISITION

• Main Author: Sonia Gunawan, Veren
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/85894
• Institution: Institut Teknologi Bandung

The integration of artificial intelligence (AI) in recruitment processes represents a paradigm shift towards more efficient and data-driven hiring practices. Nevertheless, this technological advancement also entails significant ethical challenges that must be subjected to critical examination. This research examines the ethical implications of AI in recruitment, with a particular focus on issues of bias, transparency, accountability, and data privacy. While AI tools enhance efficiency and may reduce human biases, they also pose risks of perpetuating existing prejudices and introducing new forms of discrimination if not carefully managed. The utilization of algorithmic decision-making in the context of recruitment raises complex ethical concerns, particularly with regard to transparency and accountability. The opacity of AI systems makes it challenging to discern how decisions are made and to challenge potentially unfair practices in the recruitment process. Furthermore, the handling of sensitive personal data by AI systems introduces significant concerns regarding privacy, necessitating the implementation of rigorous measures to protect candidate information. This study also considers the broader implications of AI in recruitment, including the potential impact on employment patterns and the power dynamics within labor markets. The framework for ethical AI in recruitment proposes transparency, accountability, and inclusiveness in AI deployment as essential elements. Qualitative analysis and case studies are employed in this research to identify best practices and offer guidelines for the development and implementation of AI tools in recruitment that uphold ethical standards and promote fairness. The ethical considerations highlighted in this study are of paramount importance for the development of AI recruitment tools that are not only technically efficient but also socially responsible and aligned with the organizational values of diversity and inclusiveness. As AI continues to evolve, it is of the utmost importance that its application in sensitive areas like recruitment is guided by a robust ethical framework to prevent any potential harm and to ensure that these technologies contribute positively to organizational and societal goals.