2026· Law and Governance· 0 citations· 54 references
Abstract
While artificial intelligence (AI) offers promise as a tool for efficiency and access to justice, in public administration it also threatens to reproduce the perversity in Franz Kafka’s parable “Before the Law”: systems that mimic legality while rendering the law opaque and unreachable. I develop the concept of “Digital Kafkaism” to describe this pathology, and argue that a crucial surface of contest lies in the design of human–computer interactions that mediate administrative decisions. Drawing on administrative law’s core values (such as reason-giving, accountability and contestability), I argue that these can be preserved within socio-technical systems if we treat Responsible AI (RAI) not as a matter of stating abstract principles or technical fixes, but as a design brief. Lawyers, I argue, have a distinctive contribution to make in this interdisciplinary project: to ensure that the gateway to the law remains genuinely open by embedding public law commitments in the architectures of digital administration. To this end, I propose a programmatic set of design-facing requirements to translate public-law values into operational constraints for AI-mediated administration.
An integrative review of the four literatures the discipline of computational jurisprudence must synthesize, namely, object-capability security; verifiable, proof-carrying, and zero-knowledge computation; policy-as-code and computational law; and agentic AI with its emerging payment protocols.
The central ethical problem raised by artificial intelligence is not whether AI systems can "reason" in a functional sense, but whether their use preserves a centre of judgment that can be held responsible. Beginning with large language models, it distinguishes linguistic fluency from scientific validity, ethical commi...
Christos A. Koutsotasios, Elias Vavouras· Dianoesis· 0 citations
It is argued that public uses of AI should not be evaluated primarily through technical efficiency, ethical compliance, or procedural safeguards, but through democratic legitimacy, and that societies retain the democratic authority to shape, question, supervise, correct, and, when necessary, reject their use.
A. Duche-Pérez, Marco Tulio Falconí Picardo, Emmanuel Neptalí Augusto Chávez Urquizo et al.· Frontiers in Political Scien...· 0 citations
Generative AI encodes the majority's way of knowing as the default infrastructure of knowledge itself as the default infrastructure of knowledge itself, and law must learn to govern at that level of model training.
Modern states increasingly use AI systems in public decision-making, including benefits eligibility, risk classification, immigration adjudication, and judicial administration. Defenders often argue that democratic authorization, validation, and review are sufficient to render such systems legitimate; critics often rep...
Sai-Ming Wong· Ethics and Information Techn...· 0 citations
The integration of artificial intelligence as a service (AIaaS) within public administration fundamentally relocates the state’s evidentiary and inferential capacities into proprietary software infrastructures. When public bodies deploy these third-party systems, they introduce an acute systemic risk: a structural “con...
Mohammed Abdulbari· Frontiers in Artificial Inte...· 0 citations
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