175- Ron Lee: The AI Dumpling Dilemma
The Honest Drink
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Unpacking Bias in AI Development
This chapter explores the complexities of bias in artificial intelligence, contrasting human biases with the potential of AGI to access vast datasets. It delves into the implications of open-source versus closed-source technologies, government regulation, and the need for recognizing biases in AI systems to foster trust and create more representative outputs. The conversation also reflects on the potential benefits of AI, while cautioning against the control that large companies have over technological advancements and the importance of addressing ethical considerations.
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