The growing computing power,easy acquisition of large-scale data,and constantly improved algorithms have led to a new wave of artificial intelligence(AI)applications,which change the ways we live,manufacture,and do bu...The growing computing power,easy acquisition of large-scale data,and constantly improved algorithms have led to a new wave of artificial intelligence(AI)applications,which change the ways we live,manufacture,and do business.Along with this development,a rising concern is the relationship between AI and human intelligence,namely,whether AI systems may one day overtake,manipulate,or replace humans.In this paper,we introduce a novel concept named hybrid human-artificial intelligence(H-AI),which fuses human abilities and AI capabilities into a unified entity.It presents a challenging yet promising research direction that prompts secure and trusted AI innovations while keeping humans in the loop for effective control.We scientifically define the concept of H-AI and propose an evolution road map for the development of AI toward H-AI.We then examine the key underpinning techniques of H-AI,such as user profile modeling,cognitive computing,and human-in-the-loop machine learning.Afterward,we discuss H-AI’s potential applications in the area of smart homes,intelligent medicine,smart transportation,and smart manufacturing.Finally,we conduct a critical analysis of current challenges and open gaps in H-AI,upon which we elaborate on future research issues and directions.展开更多
Artificial intelligence(AI)has recently been developing rapidly in image processing and generation.AI is not only starting to take over repetitive and tedious tasks but is also involved in creative activities.Drawing ...Artificial intelligence(AI)has recently been developing rapidly in image processing and generation.AI is not only starting to take over repetitive and tedious tasks but is also involved in creative activities.Drawing is one of the areas with the greatest potential for collaboration between humans and AI.It is an important approach to express various information,but due to the lack of appropriate knowledge and skills,ordinary people without long-time training are unable to draw freely.Although there have been various attempts at human-AI collaboration in drawing,it is difficult for researchers to consider the wide variety of specific problems and develop univer-sal methods due to the openness,improvisation,and individuality of drawing.In this paper,we first analysed the contents of drawing and the general creation process in detail.Second,we have described a mechanism for using AI to enable people to regain the freedom of drawing collaboratively.Finally,we have developed a framework that describes methods for analysing specific problems and quickly finding solutions by building connections between the influencing factors in drawing,the demands of humans,and possible implementa-tion options.The framework also reveals a broad scope of possibilities for applying AI to support people in drawing.展开更多
基金This work was supported by the National Natural Science Foundation of China(No.61872038)the UK Royal Society-Newton Mobility Grant(No.IECnNSFCn 170067)the Fundamental Research Funds for the Central Universities(No.FRF-BD-18-016A).
文摘The growing computing power,easy acquisition of large-scale data,and constantly improved algorithms have led to a new wave of artificial intelligence(AI)applications,which change the ways we live,manufacture,and do business.Along with this development,a rising concern is the relationship between AI and human intelligence,namely,whether AI systems may one day overtake,manipulate,or replace humans.In this paper,we introduce a novel concept named hybrid human-artificial intelligence(H-AI),which fuses human abilities and AI capabilities into a unified entity.It presents a challenging yet promising research direction that prompts secure and trusted AI innovations while keeping humans in the loop for effective control.We scientifically define the concept of H-AI and propose an evolution road map for the development of AI toward H-AI.We then examine the key underpinning techniques of H-AI,such as user profile modeling,cognitive computing,and human-in-the-loop machine learning.Afterward,we discuss H-AI’s potential applications in the area of smart homes,intelligent medicine,smart transportation,and smart manufacturing.Finally,we conduct a critical analysis of current challenges and open gaps in H-AI,upon which we elaborate on future research issues and directions.
文摘Artificial intelligence(AI)has recently been developing rapidly in image processing and generation.AI is not only starting to take over repetitive and tedious tasks but is also involved in creative activities.Drawing is one of the areas with the greatest potential for collaboration between humans and AI.It is an important approach to express various information,but due to the lack of appropriate knowledge and skills,ordinary people without long-time training are unable to draw freely.Although there have been various attempts at human-AI collaboration in drawing,it is difficult for researchers to consider the wide variety of specific problems and develop univer-sal methods due to the openness,improvisation,and individuality of drawing.In this paper,we first analysed the contents of drawing and the general creation process in detail.Second,we have described a mechanism for using AI to enable people to regain the freedom of drawing collaboratively.Finally,we have developed a framework that describes methods for analysing specific problems and quickly finding solutions by building connections between the influencing factors in drawing,the demands of humans,and possible implementa-tion options.The framework also reveals a broad scope of possibilities for applying AI to support people in drawing.
