By Heli Harrikari, StradivAI
Music education operates in unusually vulnerable spaces. Students reveal not only skill, but insecurity, emotion, and identity. When AI enters this space, ethics cannot be an afterthought.
At StradivAI, ethics is not a constraint on innovation. It is the condition for meaningful innovation.
Contents
- Why music data is uniquely sensitive
- The three pillars of ethical music AI
- Why opaque feedback harms learning
- Teachers as ethical anchors
- Trust as the real innovation
- Links to StradivAI materials on this topic
Why music data is uniquely sensitive
The three pillars of ethical music AI
Why opaque feedback harms learning
Teachers as ethical anchors
Trust as the real innovation
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