IEEE UV2026 Plan
IEEE UV2026 ThemesHuman-Centered AI Transformation for Future Empowerment: ❖ Explainable & Human-Intelligible Understanding ❖ Intent-Aware Reasoning & Accountable Decision-Making ❖ Human-Authorized AI Action ❖ Human-Supervised Reflective Learning Please refer to the attached IEEE UV2026 plan for the features an...[Read More]
UV Registration 2026
Tickets The numbers below include tickets for this event already in your cart. Clicking "Get Tickets" will allow you to edit any existing attendee information as well as change ticket quantities. 【1】Paper Publication Fee ● Must purchase if you plan to publish any paper at IEEE UV2026. ● $150 Per Paper. $ 150.00 Unl...[Read More]
UV2026 Sessions
Keynote Day ❖ Organized by IEEE UV2026 program committee ❖ Opening remarks and invited keynote talks Technical Sessions ❖ Organized by session chairs ❖ Distribute “Session Call-for-Papers” by session chairs ❖ Session chairs select oral talks and review submitted papers Special Sessions ❖ Distribute “Call-fo...[Read More]
IEEE UV2026 Call for Papers
IEEE UV2026 features the theme of “Human-Centered AI Transformation for Future Empowerment: Explainable & Human-Intelligible Understanding, Intent-Aware Reasoning & Accountable Decision-Making, Human-Authorized AI Action, and Human-Supervised Reflective Learning.”


The 8th IEEE International Conference on Universal Village (IEEE UV2026) will be held virtually and locally from October 17-20, 2026.
Following the previous IEEE UV conferences, IEEE UV2026 continues to call for collective efforts from world-renowned experts across multidisciplinary fields to collaborate beyond traditional field boundaries via this groundbreaking international project. We are thrilled that our UV conferences have inspired successful collaboration among governments, academia, industries, and civil society.
IEEE UV2026 features the theme of “Human-Centered AI Transformation for Future Empowerment: Explainable & Human-Intelligible Understanding, Intent-Aware Reasoning & Accountable Decision-Making, Human-Authorized AI Action, and Human-Supervised Reflective Learning.”


