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Alter Everything
159: Exploring Bias in AI
May 22, 2024
Charita McClellan and Monica Cisneros from Alteryx discuss the origins of bias in AI and how to create a more inclusive future by training AI to include everyone. They explore the impact of biases on decision-making, the formation of biases from social influences, and the importance of diverse training data to combat discrimination in AI development.
30:45
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Quick takeaways
- Conscious bias in AI involves awareness of prejudices, while unconscious bias operates subconsciously affecting decision-making processes.
- Biases in AI can originate from historical data representations and societal norms, reinforcing discrimination in automated decision-making.
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Understanding Bias in AI
Bias in AI can be either conscious or unconscious, leading to unfair prejudice in decision-making processes. Conscious bias involves being aware of one's prejudices, while unconscious bias operates at a subconscious level, influencing interactions without awareness. Social, cultural, and psychological influences from a young age contribute to the formation of biases, impacting decision-making and actions.
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