In this article, we intend to discuss the growing influence of artificial intelligence (AI) in the fields of art. The phenomenon, which has long been familiar in the visual arts sector, is now also gaining relevance in the mu-sic sector. The impact of AI on music, particularly on the more avant-garde and experimental sub-genres, is generating debates ranging from copyright, authenticity and, above all, creativity. The specific case dis-cussed in this one is the album Diotima by New York band Krallice, released in 2011, and its ‘counterpart’, Coditany of Timeness, generated by Dadabots, a collective experimenting with AI, created using a neural network trained on Diotima. Released at NeurIPS 2017, Coditany of Timeness exemplifies how AI can reinterpret musical styles, enabling a reflection on ‘machinic’ creativity. Both albums were subjected to analysis with regard to song structure, melody and harmonic language. The creative dimension behind the project was deepened through a textual analysis of articles and online interviews, a total of 37 documents. This set of results was then discussed with members of the Krallice through a semi-structured interview. The intention is to explore how AI interacts with the human creative process, asking questions about how the machine interprets these processes, and how these results are perceived by the artists themselves.

In questo articolo intendiamo discutere la crescente influenza dell’intelligenza artificiale (IA) nei campi dell’arte. Il fenomeno, già da tempo familiare nel settore delle arti visive, sta oggi acquistando rilevanza anche in quello della musica. L’impatto dell’IA sulla musica, in particolare sui sottogeneri più avanguardisti e sperimentali, sta generando dibattiti che spaziano dai copyright, all’autenticità e, soprattutto, alla creatività. Il caso specifico discusso in questa ricerca è l’album Diotimadella band newyorkese Krallice, uscito nel 2011, e la sua "controparte" generata da Dadabots, un collettivo che sperimenta con le IA, Coditany of Timeness, creata utilizzando una rete neurale addestrata su Diotima. Pubblicato al NeurIPS 2017, Coditany of Timeness esemplifica come l’IA possa reinterpretare stili musicali, permettendo di avviare una riflessione sulla creatività "macchinica". Entrambi gli album sono stati sottoposti ad analisi per quanto riguarda la struttura delle canzoni, la melodia e il linguaggio armonico. La dimensione creativa retrostante il progetto è stata approfondita attraverso un’analisi testuale di articoli e interviste online, per un totale di 37 documenti. Questo insieme di risultati sono poi stati discussi con i membri dei Krallice attraverso un’intervista semi strutturata. L’intento è quello di esplorare il modo in cui l’IA interagisce con il processo creativo umano, ponendo domande su come la macchina interpreti questi processi, e su come questi risultati siano percepiti dagli artisti stessi.

Varini, M., Gramaglia, G., Tyranny of (AI)Thought. Artificial intelligence in music composition: a case study on Krallice “Diotima”, <<CONNESSIONI REMOTE>>, 2024; 2024 (8): 51-82. [doi:10.54103/connessioni/26583] [https://hdl.handle.net/10807/303537]

Tyranny of (AI)Thought. Artificial intelligence in music composition: a case study on Krallice “Diotima”

Varini, Michele
Membro del Collaboration Group
;
2024

Abstract

In this article, we intend to discuss the growing influence of artificial intelligence (AI) in the fields of art. The phenomenon, which has long been familiar in the visual arts sector, is now also gaining relevance in the mu-sic sector. The impact of AI on music, particularly on the more avant-garde and experimental sub-genres, is generating debates ranging from copyright, authenticity and, above all, creativity. The specific case dis-cussed in this one is the album Diotima by New York band Krallice, released in 2011, and its ‘counterpart’, Coditany of Timeness, generated by Dadabots, a collective experimenting with AI, created using a neural network trained on Diotima. Released at NeurIPS 2017, Coditany of Timeness exemplifies how AI can reinterpret musical styles, enabling a reflection on ‘machinic’ creativity. Both albums were subjected to analysis with regard to song structure, melody and harmonic language. The creative dimension behind the project was deepened through a textual analysis of articles and online interviews, a total of 37 documents. This set of results was then discussed with members of the Krallice through a semi-structured interview. The intention is to explore how AI interacts with the human creative process, asking questions about how the machine interprets these processes, and how these results are perceived by the artists themselves.
2024
Inglese
Varini, M., Gramaglia, G., Tyranny of (AI)Thought. Artificial intelligence in music composition: a case study on Krallice “Diotima”, <<CONNESSIONI REMOTE>>, 2024; 2024 (8): 51-82. [doi:10.54103/connessioni/26583] [https://hdl.handle.net/10807/303537]
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