Dynamics for confidence: safety, security and legal compliance of algorithmic decision-making processes

Governments worldwide are increasingly deploying algorithmic systems to inform or determine decisions with profound legal and social consequences. This expansion has in turn prompted accelerating regulatory activity and intensified geopolitical contestations.<br> <br>In this context, three paradigmatic jurisdictions, the European Union (EU), the United States (US), and the People’s Republic of China (PRC), have emerged as regulatory benchmarks for the governance of ADM on the international stage.

Each has its own distinctive initiatives and claims as to how such technology should be regulated, and how to ensure ‘safety,’ ‘security,’ ‘legal compliance,’ and ultimately ‘trustworthy’ deployment of ADM systems.<br><br>This research examines the regulatory frameworks emerging from these three actors, adopting a problematisation-oriented approach grounded in Carol Bacchi’s What’s the Problem Represented to Be? (WPR) framework.