Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the critical topic of AI bias and fairness in this 43-minute lecture from MIT's Introduction to Deep Learning course. Delve into the various types of biases in machine learning, including interpretation-driven and data-driven biases. Learn about bias at different stages of the AI lifecycle and discover strategies to mitigate these issues. Examine techniques such as automated debiasing from learned latent structure and adaptive latent space debiasing. Gain insights into evaluating AI systems for reduced racial and gender bias. Conclude with a summary of key points and future considerations for ensuring fairness in artificial intelligence.