Algorithmic Bias in Healthcare

Ayanna discusses the historical biases in healthcare, particularly regarding gender and ethnicity, and how these biases impact algorithm design in robotics and medical technology. She emphasizes the challenge of using historical data, which is inherently flawed, to create fair algorithms, highlighting the need for awareness and thoughtful consideration in the design process to avoid perpetuating existing societal biases.