Image credit: Limeng CuiAbstract
Discover the groundbreaking insights from Jason Lucas, Dr. Carol Miller, and Suhas Nagaraj at the ‘Research in Action’ alumni program. Their presentation explored the transformative role of AI in advancing speech and language therapy for children. Delving into challenges such as data scarcity and privacy concerns, the team showcased how AI, through multimodal learning and federated learning, can significantly improve the reach and quality of therapy services. This work represents a significant stride in ethical and effective use of AI for enhancing children’s lives.
Slides can be added in a few ways:
- Create slides using Hugo Blox Builder’s Slides feature and link using
slidesparameter in the front matter of the talk file - Upload an existing slide deck to
static/and link usingurl_slidesparameter in the front matter of the talk file - Embed your slides (e.g. Google Slides) or presentation video on this page using shortcodes.
Further event details, including page elements such as image galleries, can be added to the body of this page.
Jason Lucas
Ph.D. Student in Informatics
My research interests include low-resource multilingual NLP, linguistics, adversarial machine learning and mis/disinformation generation/detection. My Ph.D. thesis is in the area of applying artificial intelligence for cybersecurity and social good, with a focus on low-resource multilingual natural language processing. More specifically, I develop NLP techniques to promote cybersecurity, combat mis/disinformation, and enable AI accessibility for non-English languages and underserved populations. This involves creating novel models and techniques for tasks like multilingual and crosslingual text classification, machine translation, text generation, and adversarial attacks in limited training data settings. My goal is to democratize state-of-the-art AI capabilities by extending them beyond high-resource languages like English into the long tail of lower-resourced languages worldwide. By innovating robust learning approaches from scarce linguistic data, this research aims to open promising directions where AI can have dual benefits strengthening security, integrity and social welfare across diverse global locales.