Czech ice dancers Kateřina Mrázková and Daniel Mrázek recently marked their Olympic debut, an extraordinary achievement born from years of unwavering dedication and rigorous practice. However, the sibling pair introduced a notable point of discussion by incorporating AI-generated music into their rhythm dance program. While this choice adheres to official regulations, it has sparked broader conversations about the evolving role of artificial intelligence in creative fields.
During their performance, as Daniel Mrázek executed a complex cartwheel lift with his sister, creating a seemingly superhuman display, an NBC commentator subtly observed, "This is AI generated, this first part," referring to their musical accompaniment. This casual revelation proved, in some ways, more surprising than the gravity-defying maneuvers the siblings performed under the intense pressure of Olympic competition.
The Olympic ice dance competition comprises two distinct events: the rhythm dance, which requires pairs to perform a routine aligned with a specific theme, and the free dance. This season's theme, "The Music, Dance Styles, and Feeling of the 1990s," saw various interpretations. For instance, British duo Lilah Fear and Lewis Gibson delivered a tribute to the Spice Girls, while American favorites Madison Chock and Evan Bates performed to a Lenny Kravitz medley.
In contrast, Mrázková and Mrázek's routine featured a unique musical blend: half AC/DC and half AI-generated content, potentially due to licensing considerations or other factors. This unconventional selection is made even more intriguing by the fact that it is not the duo's first foray into using AI music, nor is it the first instance where such a choice has drawn scrutiny.
According to the International Skating Union (ISU), the governing body for competitive ice skating, the duo's rhythm dance music for this season was officially listed as “One Two by AI (of 90s style Bon Jovi)” paired with “Thunderstruck by AC/DC.” The official Olympics website further confirms the use of this AI-generated track for their rhythm dance segment.
The Czech siblings have previously encountered criticism for their use of AI-generated music. Earlier in the season, they performed to a 90s-inspired AI track that notably began with the declaration: “Every night we smash a Mercedes Benz!” This lyric is a direct appropriation from the iconic 90s hit “You Get What You Give” by New Radicals, a song celebrated for its vibrant music video filmed in a Staten Island mall, capturing the essence of American suburbia.
Further examination revealed that the AI-generated lyrics also included phrases such as “Wake up, kids/We got the dreamer’s disease,” and “First we run, and then we laugh ’til we cry.” These lines are also found verbatim in “You Get What You Give” by New Radicals. Adding to the striking similarities, the AI song itself was titled “One Two,” mirroring the opening words of the original New Radicals track.
Prior to the Olympics, the duo modified their music, replacing the New Radicals-inspired lyrics with other AI-generated phrases that closely resembled Bon Jovi lyrics, as journalist Shana Bartels reported in November. For example, the line “raise your hands, set the night on fire” also appears in Bon Jovi’s song “Raise Your Hands,” and the AI "vocalist" notably mimicked Bon Jovi's style. It's worth noting that "Raise Your Hands" is not originally from the 1990s. This Bon Jovi-esque AI track was the music the duo used for the initial part of their Olympic performance on Monday, before transitioning into the authentic 90s track, “Thunderstruck” by AC/DC.
While the specific software used by the team remains undisclosed, this phenomenon illustrates how large language models (LLMs) operate. These AI systems are typically trained on vast datasets of existing music, sometimes sourced through legally ambiguous means. When prompted to generate content in a particular style, LLMs produce statistically probable responses, which can inadvertently lead to the inclusion of direct lyrical or melodic elements from their training data. This mechanism, while useful in areas like code generation, explains why a song generated "in the style of Bon Jovi" might incorporate actual Bon Jovi lyrics.
Despite these complexities and concerns, the music industry appears, at least for now, to be embracing the potential of AI-driven "musicians." An example is Telisha Jones, a 31-year-old from Mississippi, who leveraged the AI platform Suno to set her poetry to music under the artist persona Xania Monet, subsequently securing a $3 million record deal.
It is regrettable that the significant accomplishment of these Czech dancers in reaching the Olympics may be overshadowed by the ongoing discussion surrounding their use of AI-generated music. This situation inevitably prompts a fundamental question: in a sport celebrated for its artistry and expression, what role should genuine human creativity play?
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