Shaping the AI Transformation

The transformative impact of Artificial Intelligence (AI) requires an interdisciplinary approach to understand and shape its impact on societies, organisations and governments. Our research initiative "Shaping the AI Transformation" brings together the expertise of different disciplines to address critical aspects of AI development, regulation and implementation. The initiative focuses on promoting low-code/no-code AI to democratise the development of AI applications while exploring their limitations in terms of quality and transparency.

We examine the economic impact of AI regulation, including frameworks for AI design and certification processes to ensure compliance with evolving legislations, such as the EU AI Act. In addition, the initiative examines AI innovation processes and their intersection with ethical and legal considerations, emphasising the need for robust governance models. Particular attention will be paid to the impact of AI on the working environment, with a focus on collaboration between humans and AI. By addressing topics such as task assignment, trust and augmenting human decision making, we aim to promote a balanced integration of AI into organisational structures. Together, we strive to develop solutions that are socially responsible, legally compliant and economically sustainable, positioning AI as a transformative yet responsible force in modern society.

Goals: Low-code/No-code AI, Economic Aspects of the Regulation of AI, Framework Conditions of AI Design, AI Innovation Processes, AI Certifications, Legal Implementation of AI, EU AI Act, AI and the Work Environment, Human AI Collaboration.