In a rapidly evolving digital era, artificial intelligence (AI) has the capability to compose complete pop and electronic music tracks, including verses and choruses, challenging the traditional landscape of the music industry. This technological advancement is causing concern among musicians and composers regarding their future livelihoods.
According to a recent study by Sacem, the French society for authors, composers, and publishers of music, musicians may lose up to 30% of their income to AI by 2028. This isn’t only due to deepfake technology that replicates singers’ voices but also stems from entirely AI-generated compositions derived from thousands of existing works. In response to this, over 200 artists, including high-profile names like Katy Perry and Elvis Costello, have voiced their concerns through an open letter.
Out of the musicians surveyed by Sacem, 70% fear they won’t be able to make a living from their craft due to AI. Benoit Carré, a composer, predicts that while the creation aspect will still exist, the demand for human-produced compositions, particularly in lucrative markets like advertisement music, may significantly decline as producers might soon opt for AI-generated music from platforms based on mere text descriptions.
Sacem is addressing the pressing issue of compensation for human creators whose works are being used to train AI without any remuneration. According to Cécile Rap-Veber, Sacem’s General Director, they have begun opposing the unauthorized use of their repertoire for AI training. Discussions are underway to establish a revenue-sharing model between creators and AI. However, numerous AI music generators are still operating illegally, making it nearly impossible to identify the works they train on. This poses a challenge for the enforcement of new compensation schemes and the protection of copyrights in the realm of AI-generated content.
Important Questions:
1. How is AI impacting the music creation process?
AI has the potential to significantly impact the music creation process by generating music that can mimic styles and patterns of human composition, leading to concerns among musicians regarding the originality and value of their work.
2. What are the legal and ethical implications of using AI in music composition?
The use of AI in music composition raises legal and ethical questions about copyright infringement, particularly when AI systems are trained using copyrighted music without authorization.
3. What revenue-sharing models might be viable for AI-generated music?
Developing fair revenue-sharing models is challenging due to the difficulty of tracking AI’s use of copyrighted works and assigning ownership for AI-generated compositions.
Key Challenges and Controversies:
– Copyright Ownership: Determining who owns the copyright of AI-generated music and how existing laws apply to compositions created by machines is a major challenge.
– Economic Impact: AI’s potential to displace human composers in certain markets such as advertising music poses economic threats to the livelihoods of musicians.
– Transparency: Many AI music generators operate in a legal gray area, with a lack of transparency regarding the datasets they use for training their algorithms.
Advantages:
– AI can provide inexpensive and efficient solutions for music production, particularly useful for content creators with tight budgets.
– It can inspire new forms of music and collaboration between humans and machines, leading to innovative artistic creations.
– AI can democratize music production by making tools accessible to those with limited musical training.
Disadvantages:
– It may lead to a decrease in demand for human-composed music, affecting livelihoods in the music industry.
– AI-generated music raises concerns about the dilution of artistic authenticity and uniqueness.
– The potential violation of copyright laws by AI systems could result in legal disputes and hinder creative exchange.
For those interested in exploring further into the topic, visiting the websites of copyright organizations and music industry groups would be helpful. A valid link to visit could be the website of SACEM: SACEM. Additionally, AI music service providers and tech companies working in this space may offer insights into how they are approaching the challenge, such as OpenAI’s website: OpenAI.
The source of the article is from the blog lanoticiadigital.com.ar