Creativity in the age of generative AI: A new era of creative partnerships

Recent advances in artificial intelligence (AI) have demonstrated its power in many creative tasks such as creating works of art, creating symphonies and even writing legal texts, presentations of slides, etc.

These developments have led to fears that AI could replace humans in creative work and make knowledge workers redundant. These claims were recently highlighted by a Fortune article titled “Elon Musk Says AI Will Create a Future Where ‘No Jobs’ Matter: AI Will Be Able to Do Everything.” »
Interdisciplinary collaborations are needed
In a new article in a special issue of Nature Human Behavior on AI, researcher Janet Rafner of the Aarhus Institute for Advanced Study and the Center for Hybrid Intelligence at Aarhus University and Professor Jacob Sherson, director of the Center for Hybrid Intelligence, say international issues. people who work together. research on the social impact of creativity and AI.
Research groups argue that we should focus on understanding and creating creativity, the relationship between man and machine, in what is called “human-based AI” and “intelligence the main hybrid “. In this way, we will be able to develop interfaces and at the same time guarantee a high degree of automation through AI and human control and thus support the best interactions.
Rafner says: “At the moment, most studies on human interaction with AI come from the field of human interaction and computer science and focus on the power of AI and the structure and evolution of AI ‘interaction. While these advances are critical to understanding the interactions between humans and algorithms as well as human behavior in manufacturing processes and products, there is an urgent need to improve these tools and knowledge about manufacturing. has been achieved in recent decades in science. »
“Now we need to remove the discussion from questions like: Can AI be creative? One reason for this is that the definition of creativity is not easy. When we study human, machine-only, and human-AI co-creativity, we need to consider the type and level of creativity in question, from everyday creative activities (e.g., creating new recipes, artworks, or music) that can make it better. provide automation and flexible interventions that may require high levels of human intervention.
“Furthermore, it is more useful to explore abstract questions such as: what are the similarities and differences in human cognition, behavior, motivation, and self-efficacy between human creations and human creations?” Rafner explains. Currently, we do not have enough knowledge about co-creativity among the crowd, because the demarcation between people and AI contributions (and processes) is not always clear.
In the future, researchers should improve prediction and conceptual understanding (i.e., interpretation) with the goal of developing cognitive systems to measure and improve human productivity. When designing interactive systems such as virtual assistants, it will be important to address psychometric and environmental issues. That is, a collaborative project must combine the right mental statistics with the design of observation and intervention.

Interdisciplinary collaborations are needed

Interdisciplinarity is important The challenge of understanding and successfully developing human interaction systems and AI should not be a single discipline. Business and management professionals should be included to ensure that services reflect real-world professional challenges and to understand the implications of collaboration for the future of services at large macro and micro organizational levels, such as manufacturing and group change and mixed group. . and AI.

 Linguistic and educational scientists are important to help us understand the effects and nuances of software engineering in text-to-x systems.
 Psychologists will need to study the effect and the human learning process. Not only is it considered ethical to make people aware of the role of AI in development, but in many cases, it is the best option in the long run, the team says about the researchers.
Beyond this, ethics and legal scholars will need to consider the costs and benefits of cooperation in terms of intellectual property rights, the concept of human intent, and environmental impact.

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