Relational & culture-sensitive AI innovation

Christian Herzog
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引用次数: 0

Abstract

In this article, I argue that responsibly developing artificial intelligence (AI) solutions necessitates a deep understanding of the cultural landscapes involved. Especially considering AI's universalistic tendencies, varying, possibly conflicting interests, values, and epistemes require special consideration. I advocate for a cultural sensitivity that aligns with a relational ethics perspective to address power asymmetries, empower marginalized groups, and recognize epistemic privileges. By laying out how technology pervades cultures, I contribute to the case for a culturally informed approach to ethics that empowers individuals to autonomously transform (or conserve) cultures. I then discuss a structural integration of cultural studies into the training and practices of technology and AI engineers and officers. By discussing relational ethics as intimately tied to a culturally sensitive approach to technology development, I join proponents of a closer collaboration between ethics and cultural studies that can yield insights and methodologies that respect diverse cultural contexts and challenge the primacy of disruptive innovation.
关系和文化敏感的人工智能创新
在本文中,我认为负责任地开发人工智能(AI)解决方案需要对所涉及的文化景观有深刻的理解。特别是考虑到人工智能的普遍倾向,不同的,可能相互冲突的利益,价值观和知识需要特别考虑。我提倡一种与关系伦理观点相一致的文化敏感性,以解决权力不对称,赋予边缘化群体权力,并承认认知特权。通过展示技术如何渗透文化,我提出了一种文化知情的伦理方法,使个人能够自主地改造(或保护)文化。然后,我讨论了文化研究与技术和人工智能工程师和官员的培训和实践的结构性整合。通过讨论与技术发展的文化敏感方法密切相关的关系伦理,我加入了伦理和文化研究之间更密切合作的支持者,这种合作可以产生尊重不同文化背景的见解和方法,并挑战破坏性创新的首要地位。
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
Journal of responsible technology
Journal of responsible technology Information Systems, Artificial Intelligence, Human-Computer Interaction
CiteScore
3.60
自引率
0.00%
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0
审稿时长
168 days
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