Creativity & Culture
Exploring how artificial intelligence intersects with human creativity, cultural expression, and artistic innovation.
Overview
This research domain investigates the transformative impact of AI on creative processes, cultural preservation, and artistic innovation. From algorithmic music composition to cultural bias analysis, we explore how machine learning can both enhance and challenge human creative expression.
Key Technologies
Generative AINeural NetworksCultural AnalyticsAlgorithmic CompositionBias DetectionCreative Computing
Related Projects
Algorithmic Bias in AI-Generated Music: Investigating Cultural Stereotypes in Neural Network Composition
Exploratory project examining algorithmic bias in AI music generation. RNN-based system trained on extensive musical corpora to investigate how machine learning models inherit and amplify cultural stereotypes in creative content generation, with WaveNet/Tacotron voice synthesis for authentic performance analysis.
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