CAN ARTIFICIAL INTELLIGENCE SUPPORT CREATIVE PROBLEM-SOLVING?

Abstract

"The process of creative problem-solving and stimulating innovation in organizations is long, costly, and high-risked. While risk is by definition included in the creative process, ideation can cut down time and costs of fostering innovative solutions. Inventive systems such as TRIZ (?????? ??????? ???????????????? ?????), CPS (Creative Problem-Solving) or DT (Design Thinking), have paved the way in supporting creators, designers, inventors and scientists in innovative solutions seeking. However, only a few of these systems are scientifically proven to be effective. It seems that CPS, initiated by Osborn, is the best evidence-based inventive system, as well as it is still developed both in empirical research, and in real-life practice (Buijs, Smulders & van der Meer, 2009; Isaksen & Treffinger, 2004; Puccio, Murdock & Mance, 2005). The main assumption of CPS is that creating innovative ideas is a phase process, i.e. following a certain universal pattern. Baer and Kaufman (2005) argue that CPS involves various skills, especially domain-specific creativity (i.e. related to expert knowledge), which is embedded in general abilities such as intelligence and motivation. However, the use of CPS requires high-class experts who are not only specialists in a specific field but also trained in creative problem-solving. Regardless of the costs, it is a bottleneck for the application of such inventive techniques on a larger scale. Therefore, new approaches in development of AI-powered creative tools to assist creators and designers seem to be emerging. One of them is @CREATE – an expert inventive system based on CPS and supported by artificial intelligence. The idea of @CREATE will be presented by the authors."