In this podcast, we’ve covered the topic of “Automation Bias,” which occurs when people over-rely on automated systems, sometimes leading to unfair outcomes. We explore how biased algorithms can amplify discrimination in areas like hiring and healthcare, potentially perpetuating inequality. It’s crucial to understand how these biases can lead to reduced opportunities and the reinforcement of stereotypes. To tackle this, we emphasize the need for diverse data, transparency, and ethical practices in AI systems. Listen to this podcast to learn more about creating fair and unbiased AI systems.