|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.
|Computers with internet access
|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.
|Supplemental activity ideas
AI vs. Textbook: Compare the AI-generated description to a standard music history textbook’s account. Discuss similarities, differences, and potential
Diverse 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.