
301 | Tina Eliassi-Rad on Al, Networks, and Epistemic Instability
Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas
Navigating AI Biases and Human Impact
This chapter examines the inherent biases in AI systems, particularly generative models, and their reflection of human prejudices. It discusses accountability issues regarding biased outputs, methodologies using innovative artificial symbolic languages, and the implications of predictive analytics on privacy and ethics. Additionally, the chapter explores the dynamics of social phase transitions, misinformation, and the role of technology in shaping public opinion and beliefs.
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