A Fresh Look at Ethical Perspectives on Artificial Intelligence Applications and their Potential Impacts at Work and on People

Q4 Economics, Econometrics and Finance
Eddie John Paul Fisher, Eddie Fisher
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引用次数: 0

Abstract

Artificial Intelligence (AI) has recently attracted a heightened interest within the communities of AI theory and practice. Experts in this area have advanced their knowledge and understanding of AI systems and applications and the impact of these on existing technologies in terms of capabilities and benefits/risks. The development of these capabilities has created a different choice that needs to be decided on: let the potential effects of AI grow and become more exciting, at the expense of disturbing ethical concerns and issues, or balance these exciting developments by introducing suitable legislative approaches to address these concerns. The results from this research imply that urgent attention needs to be given to construct primary legislation (acts of Parliament, statutes) and then implement these as a matter of urgency. More focus and attention must be placed on ethical concerns and privacy issues that relate to existing and planned AI developments. It is further suggested that more collaboration and co-operation must be exercised across geographical boundaries between researchers to ensure that the interests of human beings world-wide are considered of paramount importance when developing and rolling out AI systems and applications.
重新审视人工智能应用及其对工作和人类的潜在影响的伦理观点
人工智能(AI)最近引起了人工智能理论和实践社区的高度兴趣。这一领域的专家已经提高了他们对人工智能系统和应用的知识和理解,以及这些系统和应用在能力和收益/风险方面对现有技术的影响。这些能力的发展创造了一个需要决定的不同选择:让人工智能的潜在影响增长并变得更加令人兴奋,以牺牲令人不安的道德担忧和问题为代价,或者通过引入适当的立法方法来解决这些问题来平衡这些令人兴奋的发展。这项研究的结果表明,迫切需要关注构建主要立法(议会法案,法规),然后作为紧急事项实施这些立法。必须更多地关注与现有和计划中的人工智能开发相关的道德问题和隐私问题。进一步建议,研究人员之间必须跨越地理边界进行更多的协作和合作,以确保在开发和推出人工智能系统和应用程序时,全世界人类的利益被认为是至关重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
African Journal of Business and Economic Research
African Journal of Business and Economic Research Business, Management and Accounting-Business and International Management
CiteScore
0.80
自引率
0.00%
发文量
33
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