Vision and Motivation

Questions shape the evolution of science and technology. “Can machines think?” helped open the age of AI. What comes next in AI’s evolution? Hyper AI? Super AI? The next era of intelligence may begin with the questions we ask together.

Great questions can outlive their answers. Over a decade, Top10Qi and Top10Cs invited people worldwide to propose and vote on fundamental questions and challenges. Expert committees and the wider community produced remarkably similar top rankings. More than a decade later, questions such as “Can machines be creative?” still resonate today.

A new era calls for new questions. Since 2020, the IEEE Hyper-Intelligence Technical Committee (HITC) has opened a broader exploration of what intelligence may become. The Hyper/Super AI Questions Initiative (HAI-Q) now invites the global community to discover the fundamental questions that may shape the next era of intelligence.

HAI-Q Process

Stage 1: Ask — Question Collection. We invite adults aged 18 years or older worldwide to submit one to three open-ended responses concerning important questions, challenges, or future prospects related to AI through the online Google Form. The goal is to gather diverse questions, perspectives, and concerns about the future of AI.

Stage 2: Analyze — AI-Assisted Analysis. Submitted responses will be analyzed using methods such as natural language processing, large language models (LLMs), and qualitative analysis conducted by the researchers. The analysis will explore participants’ interests, concerns, and perceptions of key issues related to the future prospects of AI.

Stage 3: Report — Research Outputs. The results may be used in academic publications, conference presentations, and research reports. Participants’ responses may be quoted or summarized in research outputs. However, information that could directly identify individual participants will not be included.

Organizers

• Jianhua Ma, Hosei University, Japan

• Qun Jin, Waseda University, Japan

• Ao Guo, Nagoya University, Japan

• Yang Xiang, Swinburne University of Technology, Australia

• Chao Chen, RMIT University, Australia

Coordinators

• Ruichen Cong, Waseda University, Japan

• Binbin Zhou, Hangzhou City University, China

• Lifei Wang, Hosei University, Japan

Advisory Board

• Stephen S. Yau, Arizona State University, USA

• Hui-Huang Hsu, Tamkang University, Taiwan

• Qiangfu Zhao, Zhejiang Normal University, China

• Hong Zhu, Oxford Brookes University, United Kingdom

• Jerry Gao, San Jose State University, USA

• Oscar Lin, Athabasca University, Canada

• Qing Li, Hong Kong Polytechnic University, Hong Kong

• Toshiaki Miyazaki, AIST-UTokyo AI Chip Design Open Innovation Laboratory (AIDL), Japan

• Hironori Washizaki, Waseda University, Japan

• Flavia Delicato, Fluminense Federal University, Brazil

• Antonio Guerrieri, ICAR-CNR, Italy

• Yinsheng Li, Fudan University, China

• Klimis Ntalianis, University of West Attica, Greece

• Yanchun Zhang, Zhejiang Normal University, China

• Naohiro Hayashibara, Kyoto Sangyo University, Japan

• Zhong Chen, Beijing Normal-Hong Kong Baptist University, China

• Md Zakirul Alam Bhuiyan, Fordham University, USA

• Liming Chen, Dalian University of Technology, China

• Claudio Miceli, Federal University of Rio de Janeiro, Brazil

• Takaki Nakamura, Tohoku University, Japan

• Zengwei Zheng, Hangzhou City University, China

• Sahraoui Dhelim, Dublin City University, Ireland

• Yan Wang, Macquarie University, Australia