Analyzing AI-Generated Descriptions of Music History


Our understanding and teaching of music history can sometimes be narrowly defined by dominant narratives. This lesson not only highlights potential biases in AI-generated content but also sparks a broader conversation on making music education more inclusive, ensuring students appreciate the rich tapestry of global musical traditions.


Materials Needed			Time needed
Computers with internet access			30 mins
Objectives
- Students will be able to dissect and evaluate the AI-generated description for content accuracy, omissions, and biases.

Students will be able to recognize and discuss potential Eurocentric biases in AI outputs.
Students will be able to reflect on the implications of AI biases on music education and discuss ways to make music history teaching more diverse and inclusive. | | | | | | | Key Concepts & Vocabulary | | | | | | | Artificial Intelligence: Computer systems able to perform tasks that normally require human intelligence.Bias: Prejudice in favor of or against one thing, person, or group compared with another.Eurocentrism: The inclination to interpret or evaluate other cultures in terms of European or, more broadly, Western values and perspectives. | | | | | | | Lesson | | | | | | | * Introduction (5 minutes)
- Introduce the objective: understanding and critiquing an AI-generated description of a specific music history period.
- Briefly discuss the prevalence of Eurocentric biases in music history.AI Description

Generation (3 minutes)
- Select a period of music history (e.g., Baroque, Jazz Age, etc.).
- Prompt ChatGPT to generate a description of the chosen period
- Project the description for all students to read.
Class Dissection (15 minutes)
- Engage in a class discussion, dissecting the content of the music history description. Guiding Questions might include:
  - How is this time period defined by ChatGPT in terms of inception, development, and style?
  - What people and locations does ChatGPT use to drive its narrative?
  - Are there clear or subtle Eurocentric biases present?
  - What information requires external verification?
Reflection and Way Forward (7 minutes)
- Ask students to reflect on the potential biases in AI and the implications for music education.
- Discuss strategies for a more diverse and inclusive approach to teaching music history, ensuring multiple perspectives are represented. | | | | | | | Supplemental activity ideas | | | | | | | AI vs. Textbook: Compare the AI-generated description to a standard music history textbook's account. Discuss similarities, differences, and potentialDiverse Perspectives: Ask students to research non-European perspectives, influences, and contributions to the chosen period of music and present their findings.AI in Modern Music: Discuss the role of AI in modern music creation and how it might influence or reflect cultural biases. | | | | | |

The plan