Trustworthy human-autonomy teaming (tHAT) will allow better decision-making and perform tasks more accurately by teaming humans and machines.
Fusing human and machine intelligence for collaborative decision-making in dynamic environments
The physical and cultural evolution of humans and the corresponding development of computing technology have resulted in the respective abilities of humans and machines to subjectively and objectively judge situations, and to make decisions in dynamic and uncertain environments.
To bring these characteristics together, a general approach to analyse and fuse information is required to enable tHAT to make collaborative decisions and exercise control under various uncertainties and levels of mutual trust between human and AI machine agents.
tHAT will be the kernel for future applications, adaptively fusing trust-based information to form harmonic and concerted efforts such as human-robot teaming (HRT), where intelligently operating robots work jointly with humans in unstructured and dynamic environments.