Explore the challenges and implications of task specification in artificial intelligence through this MIT EI seminar featuring Dr. Pulkit Agrawal. Delve into the fundamental mismatch between human communication of tasks and machine understanding, examining issues such as narrow transfer and non-robust feature learning. Investigate potential solutions, including reward design, data augmentation, domain randomization, and contrastive learning. Gain insights into the importance of task specification in achieving true transfer in AI systems, and learn about cutting-edge research in robotics, deep learning, computer vision, and reinforcement learning from a leading expert in the field.