Governing Well in the Algorithmic Age: The Foundations of Digital Statecraft

· Source: Artificial Intelligence · Field: Government & Public Sector — Public Policy & Governance, Digital Government & E-Government, Artificial Intelligence & Machine Learning · Depth: Expert, quick

Summary

The concept of digital statecraft is introduced as an organizing framework to address the inadequate conceptual foundations for governing the digital substrate of states—data, algorithms, infrastructure, platforms, and applications. This emerging field recognizes that the ability and legitimacy to govern both "over" digital systems and "with" digital systems are currently misaligned and contested. Digital statecraft operates on two dimensions: the state's authority and capacity concerning the digital substrate itself, and the deployment of algorithmic tools as instruments of governing authority. It rests on two foundational, often tense, requirements: technical coherence and legitimate authority. From these, ten principles are derived, including public interest first, human-machine complementarity, governability by design, systemic coherence, and accountable and traceable authority, each addressing a structural governance failure. The framework suggests that governing well in the algorithmic age may necessitate rethinking the boundaries and affiliative basis of statehood.

Key takeaway

For policy makers and legal professionals developing digital governance frameworks, you must recognize that existing statecraft concepts are insufficient for the algorithmic age. Your strategies should integrate the principles of digital statecraft, focusing on technical coherence and legitimate authority to prevent structural governance failures. Consider how your institutional designs can foster human-machine complementarity and ensure accountable, traceable authority in digital systems. This necessitates rethinking state boundaries and the affiliative basis of statehood.

Key insights

Digital statecraft provides a framework for legitimate and effective governance of and with digital systems, addressing current structural failures.

Principles

Topics

Best for: Policy Maker, AI Ethicist, Legal Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence.