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Explore critical ethical considerations in computer vision technology through this guest lecture delivered by Dr. Mubarak Shah at the Institute of Information Science, Academia Sinica. Examine the dual challenges of privacy protection and bias mitigation that are fundamental to responsible AI development in visual computing systems. Delve into how computer vision algorithms can inadvertently perpetuate societal biases and compromise individual privacy, while learning about current research approaches to address these pressing concerns. Discover the intersection of technical innovation and social responsibility as Dr. Shah discusses methodologies for developing more equitable and privacy-preserving computer vision systems. Gain insights into the ongoing efforts within the academic and industry communities to create ethical frameworks for visual AI technologies that respect human rights while maintaining technological advancement.
