3 .
Directions: Fill in each blank with a proper word chosen from the box. Each word can be used only once. Note that there is one word more than you need.
| A. empowers B. termed C. interaction D. implications E. advances F. question G. obtained H. additionally I. pressure J. currently K. defining |
A New Era of Creative Partnerships
In a new paper in a Nature Human Behavior special issue on AI, researcher Janet Rafner from Aarhus Institute of Advanced Studies and Center for Hybrid Intelligence at Aarhus University and Prof. Jacob Sherson, director of the Center for Hybrid Intelligence, together with international partners, discuss research and societal 1 of creativity and AI.
The team of researchers argue that we should direct our attention to understanding and developing co-creativity, the interaction between humans and machines towards what is 2 a human-centered AI and hybrid intelligence. In this way we will be able to develop interfaces(界面) that at the same time ensure both high degrees of automatization through AI and human control and hereby supporting a relationship that best 3 each other.
Rafner comments: To date, most studies on human-AI co-creativity come from the field of human-computer 4 and focus on the abilities of the AI, and the interaction design and dynamics.
While these 5 are key for understanding the dynamics between humans and algorithms(算法) and human attitudes towards the co-creative process and product, there is an urgent need to enrich these applications with the insights about creativity 6 over the past decades in the psychological sciences.
“Right now, we need to move the conversation away from questions like Can AI be creative? One reason for this is that 7 creativity is not set in stone. When investigating human only, machine only, and human-AI co-creativity, we need to consider the type and level of creativity under 8 , from everyday creative activities that are perhaps more suitable to machine automatization to contributions that may require higher-level human intervention; 9 , it is much more meaningful to consider some questions like, what are the similarities and differences in human cognition, behavior, motivation and self-efficacy(自我效能) between human-AI co-creativity and human creativity?”explains Rafner.
We, 10 , don’t know enough about co-creativity between humans and machines, because the line between humans and artificial intelligence isn’t always clear. Looking ahead, researchers should balance predictive accuracy with theoretical understanding, towards the goal of developing intelligent systems to both measure and enhance human creativity.
