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Survey: More than half of artists believe AI drawing cannot help their work

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2023-07-11 13:37:211227browse

调查:过半数艺术家认为 AI 作图无法帮助他们的工作

In recent years, artificial intelligence (AI) has demonstrated amazing capabilities in creating artworks. Just enter a sentence into a text box, and AI can generate a beautiful image based on the instructions. The charm of this technology is that it can use human language to control the process of artistic creation, but can these systems really accurately reflect the artist's imagination? Can integrating language into artistic creation really lead to artistic breakthroughs?

AI art creation platform Playform AI conducted a survey and collected responses from more than 500 digital artists, traditional painters, photographers, illustrators and graphic designers who use platforms such as DALL-E, Stable Diffusion and Midjourney . The results showed that only 46% of respondents found such tools "very useful", while 32% found them somewhat useful but were unable to integrate them into their workflows, and 22% did not find them What's the use?

IT House noticed that artists and designers pointed out that the biggest limitation of generative AI is the lack of control. On a scale of 0 to 10, 10 means the most controllable, and the interviewees said they were concerned about the results. The control ability is between 4 and 5. Half of the respondents thought the results were interesting but not of high enough quality to be used in practice.

When it comes to whether generative AI will affect their creative practice, 90% of the artists surveyed think it will, with 46% thinking it will be positive, 7% thinking it will be negative, and 37% thinking it will be affected. impact, but not sure what impact it is.

Some artists believe that, as far as art is concerned, the biggest limitation of generative AI is the use of language as the main driving force for generating images. Visual artists are by definition visual thinkers, and when they imagine their work, they often base it on visual references rather than words. When language becomes the focus of image creation, it blocks the connection between the artist and the digital canvas, and the artist loses the freedom to manipulate pixels outside the scope of semantics.

Another fundamental limitation is the uncertainty of the results. If two artists enter the exact same prompt word, the system will most likely not generate the same image. In other words: the artist's work is subject to chance.

Text-to-image technology is an interesting new tool that allows users to generate images quickly. But for artists, this tool is not a creative solution and limits the artist’s control, freedom, and expression of identity. The best visual art transcends language, rather than being bound by it.

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