Events and Conferences
Graduation is around the corner — what’s your next step?
With AI at the center of today’s industry revolution, choosing the right graduate program could define your future. At San José State University, in the heart of Silicon Valley, the MS in Applied Data Intelligence prepares you to lead this transformation. This 30-unit, two-year STEM-designated program goes beyond traditional data science with cutting-edge courses in Large Language Models (LLMs), Generative AI, Agentic AI, and Physical AI. You’ll gain hands-on experience designing and deploying next-generation AI solutions that don’t just analyze data, but also reason, act, and interact across both digital and physical worlds. Our human-centered curriculum equips graduates to drive real-world impact and lead the AI-driven future.
Info Sessions:
- October 3 at 10 AM (PDT)
- October 17 at 12 PM (PDT)
Online via Zoom: Meeting ID 315 608 2733, Password: 1357
Meet with the Department Chair and learn more about this revolutionary program that connects data, intelligence, and innovation. If you plan to attend, please RSVP for one or both sessions.
Online Student Research Conference
The College of Information, Data and Society’s Online Student Research Conference allows students to share their school or professional work, helps them communicate and connect, and fosters a stronger sense of community among students in the college. The conference is organized annually by the College of IDS RSCA Advisory Committee in collaboration with student organizers.
College of IDS Research Presentations
The RSCA (Research, Scholarship and Creative Activities) Advisory Committee at the College of Information, Data and Society organizes a college-wide research event once a semester. All research events are held and archived online.
2024 Research Presentation
Ethical Considerations in AI Research: An Examination of Elements in Current Research Projects
Presented by Dr. Guannan Liu with the Department of Applied Data Science on December 2, 2024 Artificial Intelligence (AI) is revolutionizing the development of intelligent systems, but its adoption raises significant ethical challenges for researchers. This presentation explores these ethical considerations by examining three AI-driven research projects currently in progress, in human posture recognition, indoor localization, and human-machine interfaces. Critical ethical dimensions to be explored include data privacy, fairness, and algorithmic transparency. Key challenges include addressing the ethical implications of data collection and processing, mitigating bias in decision-making, and ensuring transparency to build trust in AI systems. This discussion emphasizes the importance of aligning technological innovation with ethical accountability to foster responsible research practices. By framing these considerations within the context of real-world applications, this presentation highlights the need to balance the pursuit of innovation with the imperative to uphold societal values, contributing to the broader discussion on ethics in AI.
Equity, Diversity, Inclusion and Social Justice Webinar Series
Access recordings of the SJSU College of Information, Data and Society’s equity, diversity, inclusion and social justice webinar series and learn about upcoming events.
