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The AI Podcast
Ep. 7: How Humans Bias AI - Narrative Science Chief Scientist Kris Hammond
Jan 22, 2017
Kris Hammond, Chief Scientist at Narrative Science, discusses biases in AI systems, highlighting how human input influences decision-making. The podcast explores biases in news consumption, integrating antonyms in search results for critical thinking, unintentional reinforcement of biases in AI, and creating empathetic AI assistance for personalized experiences.
31:16
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Quick takeaways
- AI reflects human biases from data training, leading to biased outcomes.
- Human interactions with AI can introduce biases, emphasizing the need for human oversight in machine learning processes.
Deep dives
Bias in Smart Machines
Smart machines are often seen as unbiased and objective, operating on data in a logical and precise manner. However, bias creeps into these systems due to the data they are trained on, reflecting the biases of the individuals collecting and selecting the data. An example highlighted is a facial recognition system trained by a team that biased it towards recognizing their idea of beauty, reflecting their limited perspective.
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Discover
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