Framing The Regulation Of Artificial Intelligence-Based Technologies

The discussion on the regulation of Artificial Intelligence (AI) is mainly absent in the field of information systems (IS). This research project develops a processual model of framing AI-based technology regulation building on data from a longitudinal systematic content analysis of media and policy documents. The analysis reveals that regulation discourse takes place in the four phases of discourse initiation, discourse anchoring, discourse legitimation, and reaction leading to regulatory changes. In particular, we found out that regulatory changes are enforced following critical incidents. The model unravels the complex process of AI regulation, stimulates further research and derives implications for policy and practice.

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