Searching for Human Bias Against AI-Composed Music

• Akoglu, H.: User’s guide to correlation coefficients. Turkish J. Emerg. Med. 18(3), 91–93 (2018)

  Article  Google Scholar 

• Alty, J.L., Rigas, D., Vickers, P.: Using music as a communication medium. In: CHI’97 extended abstracts on human factors in computing systems, Atlanta, GA, 22–27 March, pp. 30–31. ACM, New York (1997)

  Google Scholar 

• Burgoon, J.K., Bonito, J., Lowry, P., et al.: Application of Expectancy Violations Theory to communication with and judgments about embodied agents during a decision-making task. Int. J. Hum. Comput Stud. 91, 24–36 (2016)

  Article  Google Scholar 

• Brewer, W., Treyens, J.: Role of schemata in memory for places. Cogn. Psychol. 13(2), 207–230 (1981)

  Article  Google Scholar 

• Chung, J.E., Park, N., Wang, H., et al.: Age differences in perceptions of online community participation among non-users: an extension of the Technology Acceptance Model. Comput. Hum. Behav. 26(6), 1674–1684 (2010)

  Article  Google Scholar 

• Nass, C., Moon, Y.: Machines and mindlessness: Social responses to computers. J. Soc. Issues 56(1), 81–103 (2000)

  Google Scholar 

• Cope, D.: Virtual music: computer synthesis of musical style. MIT Press (2004)

  Google Scholar 

• Cross, I.: Music and communication in music psychology. Psychol. Music 42(6), 809–819 (2014)

  Article  Google Scholar 

• Déguernel, K. Maruri-Aguilar, H., & ; Sturm, B. L. T. (2022). Ken Déguernel, Bob L. T. Sturm, Hugo Maruri-Aguilar. Investigating the relationship between liking and belief in AI authorship in the context of Irish traditional music. CREAI 2022 Workshop on Artificial Intelligence and Creativity

  Google Scholar 

• Miranda, E.R.: Artificial intelligence and music: an artificial intelligence approach to sound design. Comput. Music J. 19(2), 59 (1995)

  Google Scholar 

• Ens, J., Pasquier, P.: MMM: exploring conditional multi-track music generation with the transformer. arXiv preprint arXiv:2008.06048 (2020)

• Fogel, A.L., Kvedar, J.C.: Artificial intelligence powers digital medicine. Npj Digital Med. 1(1) (2018)

  Google Scholar 

• Goldman, S.: Will openai’s dall-e 2 kill creative careers? VentureBeat (2022, July 26). Retrieved October 2, 2022. https://venturebeat.com/ai/openai-will-dall-e-2-kill-creative-careers/

• Hargreaves, D.J., MacDonald, R., Miell, D.: How do people communicate using music. In: Miell, D., MacDonald, R., Hargreaves, D.J. (eds.) Musical Communication, pp. 1–26. Oxford University Press, New York (2005)

  Google Scholar 

• Hillhouse, A.N.: Tradition and innovation in Irish instrumental folk music (T). University of British Columbia (2005). Retrieved from http://open.library.ubc.ca/collections/ubctheses/831/items/1.0092099

• Hello World album the first album composed with an artificial intelligence. SKYGGE. (n.d.). https://www.helloworldalbum.net/

• Hewstone, M., Rubin, M., Willis, H.: Intergroup bias. Annu. Rev. Psychol. 53(1), 575–604 (2002)

  Article  Google Scholar 

• Hong, J., Curran, N.M.: Artificial intelligence, artists, and art: attitudes toward artwork produced by humans vs. artificial intelligence. ACM Trans. (2019)

  Google Scholar 

• Hong, J.W., Peng, Q., Williams, D.: Are you ready for artificial Mozart and Skrillex? An experiment testing expectancy violation theory and AI music. new media & society (2020)

  Google Scholar 

• Istok, E., Brattico, E., Jacobsen, T., et al.: “I love Rocken’ Roll"-music genre preference modulates brain responses to music. Biological Psychol. 92(2), 142–151 (2013)

  Google Scholar 

• Jackson, T.: Imitative identity, imitative art, and AI: artificial intelligence. Mosaic: Interdisciplinary Critical J. 50(2), 47–63 (2017)

  Google Scholar 

• Jennings, K.E.: Developing creativity: artificial barriers in artificial intelligence. Mind. Mach. 20(4), 489–501 (2010)

  Article  Google Scholar 

• Norton, D., Heath, D., ; Ventura, D.: Finding creativity in an artificial artist. J. Creative Behav. 47(2), 106–124 (2013)

  Google Scholar 

• Marzano, G., Novembre, A.: Machines that dream: a new challenge in behavioral-basic robotics. Procedia Comput. Sci. 104, 146–151 (2017)

  Article  Google Scholar 

• McCarthy, J.: From here to human-level AI. Artif. Intell. 171(18), 1174–1182 (2007)

  Article  Google Scholar 

• McClure, P.K.: “You’re fired," says the Robot. Soc. Sci. Comput. Rev. 36(2), 139–156 (2017)

  Article  Google Scholar 

• Moffat, D.C., Kelly, M.: An investigation into people’s bias against computational creativity in music composition (2006)

  Google Scholar 

• Niehaves, B., Plattfaut, R.: Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide. Eur. J. Inf. Syst. 23(6), 708–726 (2014)

  Article  Google Scholar 

• Pasquier, P., Burnett, A., Maxwell, J.: Investigating listener bias against musical metacreativity. In: Proceedings of the Seventh International Conference on Computational Creativity, pp. 42–51 (2016, June)

  Google Scholar 

• Ragot, M., Martin, N., Cojean, S.: Ai-generated vs. human artworks. A perception bias towards artificial intelligence? Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (2020)

  Google Scholar 

• Thorogood, M., Pasquier, P., Eigenfeldt, A.: Audio Metaphor: Audio Information Retrieval for Soundscape Composition. In: Proceedings of the 9th Sound and Music Computing Conference, Copenhagen (2012)

  Google Scholar 

• An ai-generated artwork won first place at a state fair fine arts competition, and artists are pissed. VICE. (2022, August 31). Retrieved January 30, 2023, from https://www.vice.com/en/article/bvmvqm/an-ai-generated-artwork-won-first-place-at-a-state-fair-fine-arts-competition-and-artists-are-pissed

• Yannakakis, G.N., Martınez, H.P.: Ratings are overrated! Frontiers in ICT 2, 13 (2015)

  Article  Google Scholar 

• Xuan, W.Z., Ying, L.F.: The development of Celtic Music Identity: Globalisation and media influences. Media Watch 13(1), 34–48 (2022)

  Article  Google Scholar 

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