The Aikyam Lab (Sanskrit: ऐक्यम्; meaning "oneness") focuses on developing Trustworthy Machine Learning Frameworks that go beyond training models for specific downstream tasks and satisfy trustworthy properties, such as explainability, fairness, and robustness. In our work, we develop new explainability algorithms to study the behavior of complex black-box unimodal and multimodal models. The research on multilingual and multimodal explanation methods is at a very nascent stage, and we aim to introduce novel algorithms that generate actionable explanations for multimodal models. Through these efforts, our lab aims to shape the future of explainable AI (XAI), ensuring AI systems are both powerful and interpretable, with far-reaching implications for ethical AI deployment.
Research Tags: Artificial Intelligence; Trustworthy AI; Multimodal XAI; AI Safety; AI Audits and Transparency
