The Ethics of Artificial Intelligence: Examining the Ethical Considerations Surrounding the Development and Use of AI
Keywords:
AI, bias, privacy, transparency, accountability, ethical issuesAbstract
Aim: AI systems can be complex and opaque, making it challenging to understand how they make decisions. This raises concerns about fairness and accountability, as individuals may not understand the factors that influence the decisions made by AI systems. The aim of this study was to examine the ethical considerations surrounding the development and use of AI.
Methods: The study adopted a desktop research design. Relevant books reference and journal articles for the study were identified using Google Scholar. The inclusion criteria entailed materials that were related to the ethics of artificial intelligence.
Results: The study found out that bias, privacy, accountability and transparency are the main ethical concerns that surround the development and use of AI technology in developed countries. Additionally, the studies emphasized the need for collaboration between stakeholders, including policymakers, researchers, and local communities, to ensure that ethical guidelines are developed and implemented. In African countries, the studies highlighted the need for a nuanced understanding of the cultural, political, and economic context of the region when considering ethical AI. Issues related to bias, data privacy, and the impact of AI on the labor market were identified as important ethical considerations in the region.
Conclusion: This study emphasizes the need for a human-centered approach that prioritizes the needs and values of local communities, as well as greater engagement with local stakeholders in the development of ethical guidelines.
Recommendation: The study recommend development and implementation of ethical guidelines for AI. Policymakers, developers, and researchers should work together to develop and implement ethical guidelines for AI systems. These guidelines should address issues related to bias, transparency, accountability, and privacy, and should be grounded in a commitment to promoting human well-being and social good.
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