ChatGPT-Based Chatbot for Help Quitting Smoking via Text Messaging: An Interventional Study
Research
GW TAI is the emerging leader in trustworthy AI in systems and for society. We emphasize impact-focused interdisciplinary research that brings a systems perspective to placing trust in its societal context. We connect choices about data and design to strategies for the governance of AI systems and the data on which they are trained and deployed. GW TAI research ranges from highly technical applications to the policy and legal spheres.We apply these themes across diverse applications, including healthcare, transportation, energy, and education. Explore a snapshot of ongoing GW TAI projects below.
How can AI accelerate discovery? Extend access to care in underserved areas?
How will increased autonomy change labor (e.g. robotaxis)? Ensure safety?
How will increased energy demands vs efficiency affect sustainability goals?
How do we ensure that AI-enabled systems continue to behave as intended once deployed in contested environments?
ChatGPT-Based Chatbot for Help Quitting Smoking via Text Messaging: An Interventional Study
Professor Lorien Abroms, Professor David Broniatowski
Machine learning enhances biomarker discovery: From multi-omics to functional genomics
Professor Keith Crandall, Professor Ali Rahnavard