Published By: New York Times, 1/22/2017
A number of companies are beginning to use artificial intelligence to compose music. For example, music can be generated using artificial neural networks that learn the structure of human-generated music, then produce new instances. This article focuses on the start-up Jukedeck, but also covers several other companies, including Google and IBM, that are creating their own music-generation AIs — each with different approaches. These developments have the potential to create a new dynamic in the music industry.
Flesch-Kincaid Grade Level of Article: 8.2
Extended Discussion Questions
- The article mentions that the Flow Machines project aims to “get computers to write pop hits.”
- How might this impact the human artists who perform the music?
- How might it impact how human artists compose music?
- Do you think you would react differently to music if you knew it was composed by AI? Why or why not?
- Do you think artificial intelligence belongs in the music industry?
- What could be some advantages or disadvantages of using AI-generated music for video games? For movie scores?
- What could be some advantages or disadvantages of using AI-generated music for commercial jingles and ads?
- Do you feel differently about those uses than about AIs creating music for general popular distribution?
- Why do you think there is so much interest in AI-generated music?
- Economic reasons?
- Artistic reasons?
- Technological reasons?
Relating This Story to the CSP Curriculum Framework
Global Impact Learning Objectives:
- LO 7.2.1 Explain how computing has impacted innovations in other fields.
- LO 7.4.1 Explain the connections between computing and real-world contexts, including economic, social, and cultural contexts.
Global Impact Essential Knowledge:
- EK 7.2.1G Advances in computing as an enabling technology have generated and increased the creativity in other fields.
Other CSP Big Ideas:
- Idea 1 Creativity
Banner Image: “Network Visualization – Violet – Offset Crop”, derivative work by ICSI. New license: CC BY-SA 4.0. Based on “Social Network Analysis Visualization” by Martin Grandjean. Original license: CC BY-SA 3.0