An Analysis of the Moral Issues Raised by AI Research, Development, and Application

Abstract

Deciphering the decision-making process of AI systems may be quite a challenge due to their complexity and lack of transparency. Because people could not know what goes into AI decision-making, this makes questions of justice and responsibility more pressing. Ethical issues related to AI research and development were the focus of this study. Google Scholar was used to find scholarly journal articles and books that were relevant to the investigation. Anything having to do with the morality of AI was considered for inclusion. According to the study's findings, the most pressing ethical issues with AI research, development, and implementation include issues of bias, privacy, accountability, and openness. The investigations also highlighted the need of local communities, researchers, and lawmakers working together to establish and enforce ethical standards. Researchers in Africa found that while thinking about ethical AI, it's important to take into account the region's unique cultural, political, and economic circumstances. Important ethical problems in the region include issues linked to prejudice, data privacy, and the influence of AI on the job economy. Establish and enforce AI-specific ethical standards. Collaborative efforts among academics, developers, and policymakers are necessary to establish and enforce moral standards for AI systems. Grounded on a dedication to advancing individual flourishing and societal welfare, these standards ought properly handle matters pertaining to prejudice, openness, responsibility, and confidentiality.