Ethical Dilemmas in Artificial Intelligence Implementations: How to Overcome It?
DOI:
https://doi.org/10.70301/SBS.MONO.2025.1.12Keywords:
AI ethical dilemmas, AI accountability, Ethics principles, AI ethics, Sustainable AI;Abstract
This research explores the ethical dilemmas of implementing artificial intelligence (AI) in businesses and discusses the ethical principles required to address them. This chapter explores the role of ethical considerations in the responsible deployment of AI. It utilizes qualitative research methods, including a systematic literature review on AI and ethics and expert interviews. The literature analysis highlights several key ethical dilemmas associated with AI, including privacy violations, biased decision-making, responsible AI usage, intellectual property rights, and challenges in monitoring AI applications, among others, that arise from AI implementation and its effects on businesses. Although there are currently no guidelines for the ethical implementation of AI, the analysis suggests the potential to create distinct guidelines that can incorporate ethical principles into AI applications, assisting organizations in addressing the identified dilemmas. The dynamic nature of AI technology and socio-economic development necessitates longitudinal research. Future studies should examine these broader societal implications to grasp AI’s influence on business and society. AI applications in business processes, product design, services, and governance raise ethical dilemmas. The authors offer unique insights by exploring the complex relationship between the ethical challenges of AI implementation and the imperative for business innovation and sustainability. Understanding and applying these insights may help organizations achieve their goals by providing more trustworthy and socially acceptable AI-driven products and improving AI-led business processes. This study offers valuable insights for academics, industry leaders, and policymakers seeking to promote responsible and sustainable AI deployment by adhering to ethical principles in its application.
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