Trustworthy Machine Learning in an Ever-Changing World

With the burgeoning use of artificial intelligence and machine learning (AI/ML) models, such as Large Language Models (LLMs), Vision Language Models (VLMs) and generative AI, in an assortment of applications, there is a need to learn and deploy models, that align with human values, in an ever-changing world rapidly and reliably. In this talk, I will cover my group’s recent research focusing on robustness, efficiency, and fairness in AI/ML models, vital in fostering an era of Trustworthy AI that society can rely on. Our efforts on fortifying models against (adversarial/distribution) shifts and spurious features, enhancing model, data, and learning efficiency, and ensuring long-term fairness under distribution shifts will be discussed