@article{2026:hedfeld:artificial,
title = {Artificial Intelligence as a Socio-Economic Dilemma: Ordonomic Diagnosis–Reflection–Design for Education, Work and Governance},
year = {2026},
note = {This paper analyses artificial intelligence (AI) through the lens of
ordonomics, a normative-institutional approach that connects economic
rationality with ethical reflection. While most discussions in AI
ethics focus on principles such as fairness, transparency, and
accountability, fewer studies address how these principles can be
institutionalized through incentive-compatible rules. We therefore
conceptualize AI not as a primarily technological challenge but as a
social order problem that requires institutional design and
governance. The paper explicitly maps the classical ordonomic
three-level schema—actor, institutional order, and
market/discourse—onto an applied heuristic of
Diagnosis–Reflection–Design, demonstrating how this triad
operationalizes ordonomic reasoning for the AI context. Building on
this foundation, we identify and categorize key AI-related social
dilemmas (economic, epistemic, ethical, and educational). The analysis
develops differentiated responsibilities across levels of coordination
and proposes rule-based cooperation solutions that align individual
incentives with collective welfare. By linking ordonomics to current
frameworks such as Responsible AI, algorithmic accountability, and the
EU AI Act, the paper positions ordonomics as a design-oriented ethics
that bridges normative ideals and institutional economics. The result
is a framework for diagnosing conflicts, reflecting responsibilities,
and designing cooperative solutions that reconcile innovation with
social responsibility.},
journal = {Swiss Journal of Business},
pages = {30--49},
author = {Hedfeld, Patrick},
volume = {80},
number = {1}
}