Design thinking and artificial intelligence: A systematic literature review exploring synergies

IF 4.2 Q2 MANAGEMENT
Aswathy Sreenivasan , M. Suresh
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引用次数: 0

Abstract

This article examines how design thinking and artificial intelligence (AI) work together and what it means for the design sector. The goal is to understand how AI technologies may advance the design process, encourage innovation, and produce more individualized and user-centric solutions. This study intends to shed light on the potential of AI as a catalyst for creativity and the ethical implications of AI-driven design by discovering overlapping ideas and methodologies between design thinking and AI. According to the research, AI can significantly influence the design process by eliminating tedious processes, improving user-centricity, and stimulating creativity. AI may support designers’ decision-making, prototyping, and ideation processes, resulting in more creative and effective design solutions. Addressing bias in AI algorithms and data privacy is imperative to ensure ethical AI integration. Virtual reality, bio-design, and inclusive design are untapped areas where AI can be used.

设计思维与人工智能:探索协同作用的系统性文献综述
本文探讨了设计思维和人工智能(AI)如何协同工作,以及这对设计行业意味着什么。其目的是了解人工智能技术如何推进设计过程、鼓励创新,并产生更加个性化和以用户为中心的解决方案。本研究旨在通过发现设计思维与人工智能之间的重叠观点和方法,阐明人工智能作为创造力催化剂的潜力,以及人工智能驱动的设计所涉及的伦理问题。研究表明,人工智能可以消除繁琐的流程,提高以用户为中心的程度,激发创造力,从而对设计过程产生重大影响。人工智能可以为设计师的决策、原型设计和构思过程提供支持,从而产生更具创造力和更有效的设计解决方案。解决人工智能算法中的偏见和数据隐私问题对于确保人工智能的道德整合至关重要。虚拟现实、生物设计和包容性设计是人工智能尚未开发的应用领域。
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
International Journal of Innovation Studies
International Journal of Innovation Studies Business, Management and Accounting-Strategy and Management
CiteScore
8.10
自引率
0.00%
发文量
23
审稿时长
19 weeks
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