Week Three Reflection

The focus of this week’s was on sound, music, and voice. In class, we practised and learned various sound-generating AI tools. After class, I also explored AI-generated music works. Among them, “Heart on My Sleeve” by TikTok user ghostwriter977 caught my interest. This song utilises AI-generated voices imitating Drake and The Weeknd while incorporating popular lyrics from celebrities like Selena Gomez and Justin Bieber. From this song, it can be observed that generative AI could easily copy the voices of others, blurring the lines between human artistry and AI-generated content. I believe that the existence of this type of music is controversial in terms of ethics and legality. While such songs may indeed garner popularity in the short term, they have implications for the artists themselves, record companies, copyright issues, and the music industry as a whole. However, this song has now been taken down due to numerous threats

Based on the research mentioned above, I created a music video for this week’s sketch. I used AI generative software to extract Selena Gomez’s voice and sing Justin Bieber’s “Love Yourself.” Overall, I believe the effect is quite similar, with about 70% of Selena’s voice. In creating this song, I wanted to understand the difficulties and processes behind it. If a beginner can produce such music in a short time, similar actions in the future may cause more controversy. Additionally, I also made a video for this song. I recorded their first collaboration stage and converted the video into a pixelated style, giving the entire MV a humorous, funny tone with a hint of nostalgia and reminiscence. I believe using AI generative tools in this way is inappropriate. If it’s simply for humour or paying tribute, it might be more suitable. If the purpose is profit-driven, there may be legal implications.

AI technology indeed assists musicians by providing creative inspiration, expediting the music production process, and utilizing deep learning systems to create various music styles and performance forms, thereby pushing the boundaries of music creation further. Additionally, AI can generate personalized content based on user preferences, offering customized music experiences tailored to individual users and market demands, which is currently beyond human capabilities. If used in this manner, generative AI can provide more convenience and insights to the music industry. However, AI has always been a double-edged sword. How it is used determines what people can gain, whether it be enhanced creativity or potential risks.

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