One major focus is Spotify’s new policy for labeling AI-generated music. Students are collecting data to examine whether artists’ popularity changes after receiving an AI label. They also want to know whether the labels influence how music is made. Will AI artists change their tune — metaphorically or literally — to evade detection? Will human artists make adjustments of their own to avoid being incorrectly labeled as AI?
The team is also asking who bears the consequences of these labels. Could human artists lose listeners if their work is incorrectly flagged as AI? Are marginalized artists more likely to be affected? By examining these questions, students hope to better understand how platform policies shape perceptions of creativity and influence artists’ opportunities.
Ultimately, the project looks beyond what AI can create to consider what its growing presence means for human creators. Can people use AI to expand their artistic possibilities without being displaced by it? And as technology changes creative standards, how might our understanding of human creativity change, too?
“As an English major, I’m very attached to books; I very much believe in human writing,” said team member Ella Jorgensen. “Still, I’m open to the question of how human artists use AI to create new things and find new ways of getting their chosen medium out there.”
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