人工智能的伦理:研究围绕人工智能发展和使用的伦理考虑

Aisha Zahid Huriye
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引用次数: 1

摘要

目标:人工智能系统可能是复杂和不透明的,因此很难理解它们是如何做出决策的。这引发了人们对公平和问责制的担忧,因为个人可能不了解影响人工智能系统决策的因素。这项研究的目的是研究围绕人工智能的开发和使用的伦理考虑。方法:采用桌面研究设计。使用Google Scholar检索了与本研究相关的书籍参考和期刊文章。入选标准包括与人工智能伦理相关的材料。结果:研究发现,偏见、隐私、问责制和透明度是发达国家开发和使用人工智能技术的主要伦理问题。此外,这些研究还强调了政策制定者、研究人员和当地社区等利益相关者之间合作的必要性,以确保制定和实施道德准则。在非洲国家,这些研究强调,在考虑道德人工智能时,需要细致入微地了解该地区的文化、政治和经济背景。与偏见、数据隐私和人工智能对劳动力市场的影响有关的问题被确定为该地区重要的道德考虑因素。结论:本研究强调需要采取以人为本的方法,优先考虑当地社区的需求和价值观,并在制定道德准则时更多地与当地利益相关者合作。建议:该研究建议制定和实施人工智能伦理准则。政策制定者、开发人员和研究人员应该共同努力,制定和实施人工智能系统的道德准则。这些准则应解决与偏见、透明度、问责制和隐私有关的问题,并应以促进人类福祉和社会福祉的承诺为基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Ethics of Artificial Intelligence: Examining the Ethical Considerations Surrounding the Development and Use of AI
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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