Jack Morris

Jack Morris, a researcher at the University of Virginia and an incoming AI resident at Google, dives into the world of adversarial attacks in NLP. He sheds light on TextAttack, a framework that empowers developers to create stronger NLP models through adversarial examples and data augmentation. The conversation touches on the vulnerabilities of NLP models and discusses strategies to enhance their robustness. Cultural biases in training data and their impact on sentiment classification also spark an intriguing dialogue as they explore the future of AI understanding.