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The amplification of existing biases poses a critical challenge to ethical AI development and deployment.
This panel discussion brings the intricate dynamics of bias propagation in AI systems, shedding light on the role of human factors and exploring strategies to mitigate its adverse effects. Panellists will also delve into various dimensions of bias amplification, examining AI algorithms, biased datasets and societal prejudices across domains. They will explore the complex interplay between human biases, algorithmic decision-making and the perpetuation of systemic inequalities.
Speakers:
