Contact person: Wolfgang Köhler (koehler@fortiss.org)
Internal Partners:
- fortiss GmbH, Dr. Wolfgang Köhler
- German Entrepreneurship GmbH, Andreas Keilhacker
SMEs are especially underrepresented among AI adopters in Europe, and there exists little to no formal exploration into understanding the challenges with AI adoption from an SME perspective.
Therefore, it is important to learn from existing and successful support structures and formats to replicate and adapt successful mechanisms into different types of organizations and businesses. The aim is to facilitate the adoption of AI and to increase the innovative strength, especially within the SME sector.
In this microproject we focus on the identification of existing support structures and formats for innovation and assess if they are suitable for an implementation in the respective organizations’ innovation strategy.To achieve the intended objective of the microproject, intensive research, and interviews with experts will be conducted. The outcome of the project is a white paper containing applicable mechanisms and formats for AI-innovation as well as an initial interview workshop with experts to test the applicability.
Results Summary
The available/ published offerings for AI implementation strongly vary in quality and applicability.
The chosen support offerings lower the obstacles to getting started with a successful AI implementation. All it takes is a little bit of courage and willingness to change to seize the opportunities that AI offers.
The outcome of the project is a white paper containing applicable mechanisms and formats for AI-innovation as well as an initial interview workshop with experts to test the applicability.
Based on the results, for example workshops can be held in the future to apply and further develop the identified mechanisms to the specific challenges of organizations in practice.
Tangible Outcomes
- Report of applicable mechanisms and formats for AI-innovation Report of the initial workshop: https://www.humane-ai.eu/wp-content/uploads/2023/10/Report_WP7_D.2_Revised.pdf
- White Paper – Methods for AI implementation: Download PDF