Artificially intelligent automation has not only impact on sensor technologies, but also on comprehensive multiple sensor systems for assisting situational awareness and decision-making. This is particularly true for integrated Manned-unManned-Teaming (MuM-T), for example. From a systems engineering perspective which does not exclude applications in the defence domain, three tasks need to be fulfilled: (1) Design artificially intelligent automation in a way that human beings are mentally and emotionally able to master each situation. (2) Identify technical design principles to facilitate the responsible use of AI in ethically critical applications. (3) Guarantee that human decision makers always have full superiority of information, decision-making, and options of action. Our discussion of AI-driven systems for multiple sensor data fusion results in recommendations and key results. We are addressing the algorithms needed, the data to be processed, the programming skills required, the computing devices to be used, the inevitable anthropocentric design, the reviewing of R & D efforts necessary, and the integration of different dimensions in a systems-of-systems point of view.
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Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
Quan, Wei
Xu, Ziheng
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Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
Xu, Ziheng
Liu, Mingyuan
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Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
Liu, Mingyuan
Cheng, Nan
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Xidian Univ, Sch Telecommun Engn, Key State Lab ISN, Xian 710071, Peoples R ChinaBeijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
Cheng, Nan
Liu, Gang
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China Telecom Res Inst, Dept Fundamental Network Technol, Shanghai 200120, Peoples R ChinaBeijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
Liu, Gang
Gao, Deyun
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Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
Gao, Deyun
Zhang, Hongke
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Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
Peng Cheng Lab, PCL Res Ctr Networks & Communicat, Shenzhen 518040, Peoples R ChinaBeijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
Zhang, Hongke
Shen, Xuemin
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Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, CanadaBeijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
Shen, Xuemin
Zhuang, Weihua
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Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, CanadaBeijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China