Addressing Bias and Enhancing Robustness in AI Systems
Addressing Bias and Enhancing Robustness in AI Systems
Who will you meet ?
Bryan Plummer
Assistant Professor
Boston University | Graduate School of Arts & Sciences Bryan is an Assistant Professor in the Department of Computer Science at Boston University, where he also previously worked as a Postdoctoral Associate and Research Assistant Professor, and is a member of the IVC Group. He obtained his PhD in the computer vision group at the University of Illinois at Urbana-Champaign. Bryan’s research interests fall within the umbrella of artificial intelligence with a focus visual recognition, scene understanding, interpretable machine learning, and understanding the relationship between vision and language.
Mark Khan
Director, Master’s Marketing & Enrollment
Boston University | Graduate School of Arts & Sciences Mark Khan is the Director of Master's Marketing & Enrollment at Boston University’s Graduate School of Arts & Sciences, a role he has held since 2022. With nearly three years of experience, Mark oversees marketing strategies and enrollment initiatives for master’s programs, helping to drive student recruitment and engagement. Based in Boston, Massachusetts, he ensures that the university’s programs attract top talent and meet their enrollment goals.In this session, we showcased ongoing research at the Image and Video Computing Laboratory at Boston University, where we demonstrated that many of these issues persisted despite the scaling effects, and new challenges were introduced. We discovered that recent large model training merely shifted the definition of in-domain data rather than making models inherently more generic. Relying on web-scraped datasets also rendered models susceptible to text and logo attacks, highlighting the need for robust mitigation strategies. The session concluded by emphasising how, despite these shortcomings, some of these issues could be alleviated by leveraging knowledge gained from the models themselves.
Understanding Bias in AI
Techniques for Bias Mitigation
Ethical AI Development
Future Trends in AI
Understanding Bias in AI
Techniques for Bias Mitigation
Ethical AI Development
Future Trends in AI
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Exclusive Application Fee Waivers
Access to SEED Scholarships
Stay Ahead of AI Regulations
Networking and Access to Expert Insights
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