Conference Agenda

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Session Overview
Session
(Symposium) Engineering science, artificial intelligence and philosophy: an interdisciplinary dialogue
Time:
Wednesday, 25/June/2025:
3:00pm - 4:30pm

Location: Auditorium 5


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Presentations

Engineering science, artificial intelligence and philosophy: an interdisciplinary dialogue

Chair(s): Dazhou Wang (University of Chinese Academy of Sciences, Beijing), Christopher Coenen (Institute of Technology Assessment and Systems Analysis (KIT-ITAS)), Aleksandra Kazakova (University of Chinese Academy of Sciences, Beijing)

 

Presentations of the Symposium

 

Basic Ideas on Engineering science and engineering scientists: a contribution to philosophy of engineering science

Dazhou Wang1, Christopher Coenen2
1University of Chinese Academy of Sciences, Beijing, 2nstitute of Technology Assessment and Systems Analysis (KIT-ITAS)

 

Practice is the source of true knowledge: Lesson from the flight experiments of Samuel Langley and the Wright brothers

Fangyi Shi, Nan Wang
University of Chinese Academy of Science, Beijing

 

A reflection on the development of cryogenic engineering

Zhongjun Hu1, Dhazou Wang2
1Chinese Academy of Sciences, Beijing, 2University of Chinese Academy of Sciences, Beijing

 

Effective development of gulong shale oil under the guidance of engineering philosophy

He Liu
Chinese Academy of Engineering, Beijing

 

Yin Ruiyu and metallurgical process engineering: a philosophical reflection

Anjun Xu1, Zhifeng Ciu2
1School of Metallurgical and Ecological Engineering, Beijing, 2University of Science and Technology Beijing, Beijing

 

Engineering innovations in novel supercritical fluids energy and power systems: from fundamentals to application demonstrations

Lin Chen
Chinese Academy of Sciences, Beijing

 

The enhancement of technical requirements for astronaut training in deep space exploration and philosophical reflections

Zhihui Zhang
Chinese Academy of Sciences, Beijing

 

Ethical frontiers in human stem cell-based embryo model

Yaojin Peng
Chinese Academy of Sciences, Beijing

 

AI-driven synthetic biology: engineering philosophy, challenges, and ethical implications

Lu Gao
Chinese Academy of Sciences, Beijing

 

Rethinking numbers, data, and algorithms from philosophical perspective

Tiejian Luo
University of Chinese Academy of Sciences, Beijing

 

Bridging the responsibility gap: ethical responsibility pathways and framework reconstruction in artificial intelligence

Shuchan Wan, Cheng Zhou
Peking University

 

Refusal to grant AI subject qualification: reasons and practical approaches

Dongming Cao, Xiaohui Jiang, Junjie Wu
Northeastern University, Shenyang



 
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