AI-Augmented Problem Solving and Creativity

AI-Augmented Problem Solving and Creativity

Rapid problem solving and creative idea generation are central capabilities for organisations operating in dynamic, digitalised environments. With the advent of Artificial Intelligence (AI), new possibilities, but also new challenges, emerge: how does AI-augmentation affect individual and team search behaviour, creativity and decision dynamics in organisational problem solving? How do teams and individuals adapt their search strategies when interacting with intelligent systems? And how can organisations design AI-augmented processes in such a way that they foster creative quality, collective learning and innovation?

Within the Excellence Cluster TransforM, funded by the German Research Foundation (DFG), we investigate these questions at the intersection of teams & organisations, creative problem-solving, and AI, under the broader rubric of “transformative technologies and societal change”.

Objective of the Research Project

The objective of this line of research is to understand and shape how AI-augmentation influences the search and problem-solving behaviour of human-teams. Especially with respect to creativity and innovation performance. More specifically, we aim to:

• Model how teams equipped with AI-based tools conduct search processes, adapt to problems and generate creative solutions.
• Investigate the boundary conditions (e.g., team composition, task complexity, AI interaction design, algorithmic biases) under which creativity and innovation benefit (or suffer) from AI-augmentation.
• Derive actionable implications for how organisations can design, implement and govern AI-augmented teams in ways that they move from “more innovation” to “better innovation”

We are open to collaborate with companies, and organisations that are trialling or planning AI-augmented problem-solving, innovation or creativity processes. Our methodological approach spans quantitative experiments, and mixed-method field studies aiming to deliver evidence-based design recommendations for the organisational integration of AI-augmented teams.

If you are interested in our research area “AI-Augmented Problem Solving and Creativity “, please get in touch with us and contact Marco Keßler (marco.kessler@lmu.de; 089-2180-9537).