Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the limitations and failures of Artificial Intelligence (AI) and Machine Learning (ML) in this thought-provoking conference talk. Discover how AI enables remarkable advancements while also facing significant challenges. Examine real-world examples of AI and ML failures, including their sometimes devastating consequences. Learn why these failures are inherent to ML systems and what steps can be taken to mitigate them. Delve into the issue of AI discrimination against minorities, exploring how biased implementations can lead to increased risks for certain groups. Analyze the human-introduced biases and poor data choices that contribute to perpetuating injustice. Gain valuable insights into the complexities of developing ethical and effective AI systems, and understand the importance of addressing these challenges for a more equitable future.