How AI Art Put an End to an Indie Book Cover Contest

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Indie book cover contests may be facing a new challenge with the emergence of AI-generated art. Recently, a cover contest for the upcoming science fiction and fantasy convention ConFusion was abruptly ended due to the use of AI art, which was not disclosed by the winning artist. The winning artwork was created using a machine-learning model, and the artist did not reveal the use of this technology while submitting the entry.

This caused an uproar among the contestants, with some feeling that their trust was violated. The event organizers also felt that the use of AI in art contests was not fair and transparent. To make things right, the organizers set up a GoFundMe to raise money for a new cover, which quickly raised over $2,000.

The incident highlighted a growing trend of AI-generated content, not just in art but also in fiction. Various bestselling science fiction and fantasy novels have used AI-generated covers, raising questions about the originality and legitimacy of such creations. Clarkesworld, a popular science fiction and fantasy magazine, also faced a spam problem caused by AI-generated submissions.

In response to these issues, editor Neil Clarke proposed a set of norms and expectations for the use of AI software in the science fiction and fantasy publishing industry. This framework would address key questions around the legality of training data, the effectiveness of AI detection software, and the need for disclosure when these tools are used.

While there are tools available to detect AI-generated text and images, they remain unreliable and can be further confused if humans have edited the output. Clarke is hoping to increase awareness of these challenges and encourage more transparency and honesty in the industry.

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As AI continues to shape the world of art and literature, it is essential to establish clear guidelines to ensure transparency, fairness, and quality. The development of AI-generated content will undoubtedly require collaboration between humans and machines and call for a level of transparency that maintains the trust of artists, publishers, and readers alike.

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