Key points are not available for this paper at this time.
This paper focuses on governance frameworks as a means of addressing the pressing need to identify ethical challenges surrounding the applications of artificial intelligence (AI) in making critical business decisions, to help businesses navigate the ethical issues of AI-driven decision-making. The study employs a qualitative methodology to investigate current literature, assess regulatory frameworks, examine case studies from the real world, and suggest moral guidelines to address ethical dilemmas and governance concerns in AI applications.Results point to a variety of problems, including algorithmic biases, data storage procedures, and AI-powered business decisions. The study places a strong emphasis on moral issues, which is consistent with responsible AI development. Assessing regulatory environments, the research pinpoints opportunities for enhancement and efficiency. The recommendations emphasize the continued significance of ethical issues in AI and promote public awareness, developer accountability, user empowerment, and stringent regulations. The recommendations prioritize societal well-being and individual privacy to encourage the responsible deployment of AI.Therefore, to navigate the complex intersection of AI and privacy, researchers, policymakers, developers, and users can benefit substantially from the insights provided by this research.
Oladele et al. (Mon,) studied this question.