AI and the Future of Decision-Making: Algorithmic Systems, Human Judgment, and the Transformation of Strategic Choice
AI and the Future of Decision-Making examines how artificial intelligence is restructuring decision-making by redistributing cognition across humans, algorithms, data infrastructures, and institutional systems. The article argues that AI does not eliminate bounded rationality or uncertainty, but relocates them into the architecture of models, data, objectives, interfaces, and governance. It develops this through bounded rationality, socio-technical systems, the problem of representation, automation and optimization, hybrid intelligence, bias, prediction limits, governance, economic competition, and strategic decision-making under uncertainty. The article emphasizes that AI-driven decisions are not simply algorithmic outputs, but outcomes of larger systems in which accountability, transparency, and institutional design remain central.









