Advancements in the field of Artificial Intelligence (AI) and especially in Machine Learning (ML) have had an important impact on individuals, organisations, and society at large. However, access to designing AI and ML has so far been limited to specialised actors. With the help of Low-Code Development Platforms (LCDPs) application software can be created with minimal programming knowledge. This enables individuals with a non-IT background to re- and upskill towards IT development. The research group [Sm-AI-R] investigates systems based on LCDPs from six complementary research perspectives, focussing on the Smart Regulation of LCDPs.
With the aim of responsible use of LCDP for AI, two central perspectives arise:
Regulating the use of systems through technical design (business analytics), legal and ethical frameworks and guidelines for action.
The regulation of work and work processes in organizations through the use of LCDP itself. The effects on the organization (organization studies), on work design and the individual (psychology) and on decision-making (philosophy) are examined here.
