Explainable AI for Health

We have more than 25 years of research experience and work on trustworthy AI with applications to health. We are seeking Consortium/Co-ordinators and bring several years of AI and algorithmic design expertise to the table.

Despite the strong performance of AI and ML models for several tasks, their adoption in sensitive areas like mental health has been hindered by their opaqueness. Our team has expertise in designing innovative explainable AI solutions, as well as agentic systems for such applications. Our work has been published in prestigious venues like NeurIPS, ICLR, ACL, JMIR, etc. We work with both multi-modal data (speech, audio, language) as well as single modal data like language, and tabular data. We have patented several of our innovations and have experience working with industry (both start-ups and larger companies). More information on our lab and publications can be found here: https://sites.google.com/stevens.edu/infinitylab/home

https://sites.google.com/stevens.edu/infinitylab/publications