Panel-Q | HAI-Q
Questions of a Thousand Questions for Future AI
Methods, Rationale, and Reflections on Large-Scale Open Question Selection
November 12, 2026 | 10:50 AM – 12:20 PM AEDT | Melbourne, Australia
About HAI-Q
HAI-Q brings together global perspectives on the future of Hyper/Super AI. Through public participation, AI-assisted analysis, and human review, it identifies key questions for voting and panel discussion.
The HAI-Q Process
01
Ask: Question Collection
Questions about Hyper/Super AI were collected from participants worldwide.
02
Organize: AI-Assisted Question Analysis and Ranking
Use LLMs and human review to consolidate related questions and identify recurring themes.
03
Explore: Question Discussion and Future Directions
Vote on 30 candidate questions. The top 10 will be presented and discussed at the HAI-Q Panel.
Public Voting
What Questions Matter Most for the Future of AI?
Review 30 candidate questions and select up to 10 that you consider most important and worth exploring.
Voting Deadline: November 10, 2026
Voting results will be used to rank the candidate questions. The top ten questions will be presented and discussed at the HAI-Q panel on November 12, 2026.
Vote Now
Scan to Vote
Panel Discussion
The HAI-Q panel will present the top ten questions emerging from the public voting process and examine the methods and rationale behind their selection.
The discussion will reflect on the challenges of large-scale question collection and AI-assisted analysis, and explore the implications of the selected questions for future Hyper/Super AI research.
Date: November 12, 2026
Time: 10:50 AM – 12:20 PM AEDT
Panel Chairs
Jianhua Ma, Hosei University, Japan
Qun Jin, Waseda University, Japan
Panelists
Nicolas Tsapatsoulis, Cyprus University of Technology, Cyprus
Hongji Yang, University of Leicester, United Kingdom
Ethics Approval:
This study was reviewed and approved by the Ethics Review Committee on Research with Human Subjects at Waseda University, Japan (Approval No. 2026-350).