Recent advancements in artificial intelligence, such as computer vision and
deep learning, have led to the emergence of numerous generative AI platforms,
particularly for image generation. However, the application of AI-generated
image tools in graphic design has not been extensively explored. This study
conducted semi-structured interviews with seven designers of varying experience
levels to understand their current usage, challenges, and future functional
needs for AI-generated image tools in graphic design. As our findings suggest,
AI tools serve as creative partners in design, enhancing human creativity,
offering strategic insights, and fostering team collaboration and
communication. The findings provide guiding recommendations for the future
development of AI-generated image tools, aimed at helping engineers optimize
these tools to better meet the needs of graphic designers.

通过对七名经验不同的设计师进行半结构化访谈，本研究旨在了解他们在平面设计中使用 AI 生成图像工具的现状、挑战和未来的功能需求。研究发现，AI 工具在设计中充当创造性伙伴，增强人类创造力，提供战略洞见，并促进团队合作与沟通，为 AI 生成图像工具的未来发展提供了指导性建议，旨在帮助工程师优化这些工具以更好地满足平面设计师的需求。

AI 生成图像工具在平面设计中的应用、挑战和未来发展方向探索

What's Next? Exploring Utilization, Challenges, and Future Directions of  AI-Generated Image Tools in Graphic Design

Recent generative AI platforms are able to create texts or impressive images
from simple text prompts. This makes them powerful tools for summarizing
knowledge about architectural history or deriving new creative work in early
design tasks like ideation, sketching and modelling. But, how good is the
understanding of the generative AI models of the history of architecture? Has
it learned to properly distinguish styles, or is it hallucinating information?
In this chapter, we investigate this question for generative AI platforms for
text and image generation for different architectural styles, to understand the
capabilities and boundaries of knowledge of those tools. We also analyze how
they are already being used by analyzing a data set of 101 million Midjourney
queries to see if and how practitioners are already querying for specific
architectural concepts.

生成型 AI 平台在理解建筑历史和生成新创意作品方面具有强大的潜力，但我们需要了解它们对建筑风格的理解能力以及其已被实践者用于查询特定建筑概念的情况。