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Explore the intersection of generative art and bias through the lens of art history in this 22-minute conference talk presented at FAccT 2021. Delve into the research conducted by R. Srinivasan and K. Uchino as they examine the causal relationships between artistic biases and generative art techniques. Gain insights into how historical art movements and cultural influences shape the outcomes of AI-generated artwork. Analyze the implications of these biases on the future of computational creativity and the ethical considerations surrounding machine-produced art. Discover how this study contributes to the broader discourse on fairness, accountability, and transparency in artificial intelligence applications within the creative domain.
