Published Apr 23, 2017

Ep. 18: How AI Learns Racism, Sexism

Princeton researcher Aylin Caliskan delves into the concerning replication of human biases by AI systems through language models, highlighting the urgent need for awareness, human oversight, and collaboration to mitigate these biases in sectors like hiring and beyond.

Episode Highlights

Topics covered

Popular Clips

Episode Highlights

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Dexa/The AI Podcast

Ep. 18: How AI Learns Racism, Sexism

Topics covered

Popular Clips

Machine Bias in Hiring

Bias in AI

AI Bias Exploration

AI and Bias Awareness

AI Bias Uncovered

Episode Highlights

AI Bias Detection

Impact on Society

Addressing AI Bias

Related Episodes

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Ep. 18: How AI Learns Racism, Sexism

Topics covered

Popular Clips

Episode Highlights

AI Bias DetectionAylin Caliskan, a Princeton researcher, discusses how AI systems can inherit human biases through language models. Her research reveals the potential for AI to replicate societal stereotypes, emphasizing the need for awareness and corrective measures.

AI Bias Detection

Impact on SocietyAylin Caliskan explores the pervasive issue of bias in AI, particularly in hiring practices and societal norms. She emphasizes the need for human oversight to ensure AI systems do not perpetuate existing prejudices.

Impact on Society

Addressing AI BiasAylin Caliskan discusses the critical role of human oversight in AI systems to manage biases and the strategies to mitigate these biases for fairer AI decisions. She highlights the importance of collaboration between humans and machines to ensure ethical and unbiased outcomes.

Addressing AI Bias

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