AI and the Future Symposium: Trust AI?

Oct. 15-17, 2024

The AI and the Future Symposium is a free, three-day event featuring a variety of panels, lightning talks and workshops. It offers a way for the K-State and Manhattan communities to expand their knowledge of AI. Participants will learn about recent advances in AI, how AI can be used for educational purposes, AI applications in various disciplines including agriculture, engineering and the humanities, as well as some of the ethical issues surrounding AI.

Submit your session proposal

Are you interested in proposing a session at K-State’s 2024 AI and the Future Symposium?

Sessions at the symposium can be 60 or 90-minutes long and can range from roundtables, panels, or a series of speakers on a joint theme, to discussion and brainstorming sessions or hands-on workshops. If you would like to propose and run a session, please complete the Call for Session Proposals form by May 5.

 

Become a sponsor

Are you interested in sponsoring the 2024 AI and the Future Symposium? Please contact Pascal Hitzler at hitzler@k-state.edu to learn more.

You can also learn more about what to expect from this event by reviewing the 2023 AI and the Future Symposium webpage.

Current sponsors

IOS Press Logo
Institute for Digital Agriculture and Advanced Analytics

Speakers and schedule

Check back soon for information on this year's speakers and conference schedule.

Cost

This symposium is free to attend.


Partners

This symposium is a partnership between K-State's Department of Modern Languages, K-State's Center for Artificial Intelligence and Data Science, K-State's Department of Computer Science, K-State Libraries, Manhattan Public Library and the Manhattan Chamber of Commerce.

Event organizers include Raelynne Hale, teaching assistant professor in the Department of Modern Languages; Alice Anderson, instructional designer II at K-State Libraries; Jason Coleman, academic services librarian at K-State Libraries; Pascal Hitzler, director of the Center for Artificial Intelligence and Data Science; and Carol Sevin, academic services librarian at K-State Libraries.

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