At the junction of art and artificial intelligence, we find both a deep challenge to our understanding of creativity and authorship and a blurring of lines between human and machine contributions. To this point in history, creativity has been seen as a uniquely human characteristic, full of emotional depth, individual expression, and the ability to draw upon a large well of experience and cultural context. In contrast, AI-based systems can outperform human creativity when it comes to rendering artworks, music pieces, and literature that are of high complexity and aesthetic value, much like those humanly done. And so, basic questions concerning creativity are raised: If an AI creates a masterpiece, does that mean that the artificial intelligence had been creative, or was it simply imitating a learned pattern from a human?

Secondly, authorship becomes ambiguous. Once AI artwork is sold or exhibited, it raises questions about the sole creator being the artist. Therefore, credit has to be accorded to either the AI, its programmers, or the people whose data trained the AI. This junction thus also raises legal and ethical issues with respect to intellectual property and the value of human artistry. This continuous improvement in AI is forcing us to reconsider what creativity and authorship mean to us—exceeding human capability and becoming collaborations between humans and machines themselves.