Generative artificial intelligence (AI) has made major strides in creative activities, causing some to worry that AI could outperform humans in creativity and make knowledge workers obsolete. In a new paper in a Nature Human Behavior special issue on AI, researcher Janet Rafner and Prof. Jacob Sherson discuss research and societal implications of creativity and AI.
The team of researchers argues for a ‘human-centered AI’ and ‘hybrid intelligence’ approach, focusing on understanding and nurturing co-creativity, the interaction between humans and machines. They emphasize the importance of developing interfaces that ensure high degrees of automatization through AI while maintaining human control.
To facilitate co-creativity between humans and AI, it is important to consider the similarities and differences in human cognition and behavior, motivation, and self-efficacy. Researchers should aim for predictive accuracy and theoretical understanding when designing co-creative systems, balancing psychological measurement with intuitive and engaging interface design.
This challenge requires interdisciplinary collaborations involving business and management scholars, linguistics and learning scientists, and developmental psychologists. The ethical implications of co-creativity in terms of intellectual property rights, human sense of purpose, and environmental impact should also be considered. Ultimately, the team of researchers believes keeping humans closely involved in AI development is not only more ethical but also the most efficient long-term choice.