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
Exclusive Application Fee Waivers
Access to SEED Scholarships
Stay Ahead of AI Regulations
Networking and Access to Expert Insights
Exclusive Application Fee Waivers
Access to SEED Scholarships
Stay Ahead of AI Regulations
Networking and Access to Expert Insights
Located in one of the most renowned educational cities in the world, Boston University’s College of Arts & Sciences (CAS) is a cornerstone of academic excellence, driving innovation across a wide range of fields. As the largest school within Boston University, CAS offers an expansive curriculum that nurtures intellectual curiosity, encourages interdisciplinary collaboration, and challenges students to think beyond traditional boundaries. Here, the mission is to develop leaders who are not only academically rigorous but are also globally minded and socially responsible.<br><br> With a robust alumni network of over 300,000 professionals, living and leading in more than 180 countries, CAS is deeply connected to global progress. Boston University reputation is reinforced by its #22 ranking globally on the Times Higher Education Global University Employability Ranking (2022). This signifies the institutions ongoing commitment to shaping graduates who excel in the workforce and in leadership roles worldwide. Boston itself serves as a vibrant extension of the classroom, providing students access to a wealth of opportunities for real-world learning, research partnerships, and cultural enrichment. BU College of Arts & Sciences celebrates the diversity of thought and perspective, ensuring students from all backgrounds thrive, contribute to world-class research, and advance innovative learning outcomes. At CAS, the future is not just studied; it is built.
MA in Economics
MS in Computer Science
MS in Computer Science with a specialization in Cyber Security
MS in Computer Science with a specialization in Data-Centric Computing
MS in Energy & Environment
MS in Remote Sensing & Geospatial Sciences
MA in Public Anthropology
MA in Archaeology
MA in History of Art and Architecture
MA in Astrophysics & Space Physics
MA in Biology
MA in Biostatistics
MA in Biotechnology
MA in Chemistry
MA in Earth & Environment
MA in Economics
MA in Global Development Economics
MA in Economic Policy
MA in English
MA in History
MA in International Relations
MA in International Affairs MA in Mathematics
MA in Statistics
MS in Statistical Practice
MA in Philosophy
MA in Psychology
MA in Political Science
MA in Religious Studies
16 January 2025
9:30 AM EST (America/New_York)
14 January 2025
9:30 AM EST (America/New_York)
29 January 2025
11:00 AM EST (America/New_York)
Get all your questions answered about SEED !
For any queries, please feel free to reach out to us!
info@seedglobaleducation.com
+918591624998