Mission
Our goal is to investigate, build, and identify the opportunities to make an impact through AI.
Responsible AI at Scale
Goal is to identify the challenges and opportunities of building responsible AI systems that can be deployed at scale for truthful, fair, and equitable use.
MUGC
We build an online tool designed to detect both human and machine-generated text.
Music and Young Minds
Beyond Explicit: Automatic Detection of Objectionable Content in Music to Safeguard Youth Audiences
News
- Detecting Machine-Generated vs. Human-Generated Content Across Varying Text Lengths: Small, Medium, and Large accepted at — NeurIPS 2024 December Workshop
- Dr. Sushmita will be on the panel for (Responsible AI: Ethical Partnerships, Infrastructure, and Investment) as part of Seattle AI Week on June 14th, 2024.
- Dr. Sushmita will be on the panel (Decoding Ethics: Perspectives on Responsible Data Science) at the Women in Data Science (WiDS) conference 2024.
- Team shortlisted to present during “AI in Action” week at Northeastern University. Come join us in person at the Seattle campus from 3:00 pm- 5:30 pm.
- Poster on Machine Generated versus Human Generated Content Detection accepted at RISE2024: Yaqi Xie, Anjali Rawal, Dixuan Zhao, Yujing Cen, and Shanu Sushmita
- Dr. Sushmita has been chosen as a mentor for the Women in Music Information Retrieval (WiMIR) program.
- Dr. Sushmita has been selected to serve as the Grant chair for ISMIR Conference 2024.
- Research Showcase at 10th Anniversary, Seattle Campus, Northeastern University. Our MUGC research was shortlisted to be showcased during the 10th anniversary of our Seattle Campus.
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