The rapid evolution of algorithms and Artificial Intelligence has given rise to a new category of criminal conduct that conventional criminal law fails to recognize: algorithmic crime. Unlike traditional cybercrime, algorithmic crime operates autonomously, transnationally, and often without direct human mens rea. Examples include 24/7 gambling bots that recruit victims, AI-driven ransomware that selects targets, deepfakes used for fraud, and manipulative algorithms in e-commerce and illegal online lending platforms. This article argues that Indonesia’s cyber legal framework is structurally unprepared. First, substantively, Law No. 1 of 2024 on Electronic Information and Transactions (ITE Law) and Law No. 27 of 2022 on Personal Data Protection (PDP Law) remain anthropocentric, defining perpetrators exclusively as human or legal persons and providing no normative space for autonomous systems as subjects of law. Second, structurally, law enforcement agencies lack digital forensic capacity and are outpaced by perpetrators. Third, culturally, conventional Mutual Legal Assistance (MLA) procedures require an average of nine months, whereas data stored on foreign clouds can be deleted within seven days. Using a normative juridical method with conceptual and comparative approaches, this study identifies three fundamental crises: an ontological crisis regarding the legal subject, an epistemological crisis concerning digital evidence, and an axiological crisis in sentencing philosophy. Without comprehensive reform, Indonesia risks becoming a primary market for algorithmic crime. This article proposes a seven-point roadmap: (1) adoption of a system accountability doctrine to prosecute algorithm controllers; (2) enactment of a Digital Criminal Procedure Code enabling 72-hour takedown orders and cryptocurrency asset seizure; (3) ratification of the Budapest Convention and a reciprocal Indonesian CLOUD Act for cross-border data access; (4) establishment of a specialized Cyber Court and algorithmic auditors under the Supreme Court; (5) shifting sentencing policy from incarceration to asset forfeiture; (6) implementation of a National AI Audit System; and (7) strengthening class action mechanisms for victims. Keywords: Cyber Law, Algorithmic Crime, ITE Law, System Accountability, CLOUD Act, Digital Sovereignty.
Hot Springs Research Institute of Kanagawa Prefecture
21st Century New Jurisprudence A System of Institutional Evolution Chapter I: The Essence of Law and the Definition of True Jurisprudence Chapter II: Foundations of Jurisprudence — The Co-Evolutionary Theory of Procedural and Substantive Justice Chapter III: Mechanisms for Integrating Jurisprudence with Social Governance Chapter IV: How Legal Rules Transform the National Economy Chapter V: Unifying the Art of Reform with Legal Provisions This system proposes that law is fundamentally a teleological order whose legitimacy derives not from procedural completeness but from its capacity to realize substantive justice — the protection of life, liberty, and human flourishing. It diagnoses contemporary institutions through the "diagnosis-treatment-construction" triad, identifying structural violence embedded in healthcare monopolies, cryptocurrency markets, and sports governance as pathologies that invert means into ends. Procedural justice, left uncoupled from substantive purpose, self-accelerates into illegitimacy through cumulative distortion, feedback failure, and legitimacy erosion — a pattern confirmed by comparative history from Qin to Rome to modern America. The remedy is institutional self-calibration: sunset review, independent fact-finding, audit-based compensation, and rapid correction channels that keep law tethered to its teleological anchor. Reform proceeds through a four-phase roadmap balancing synchronicity (preventing regulatory arbitrage) with sequential constraint (avoiding systemic overload), guided by 31 diagnostic conditions that tie every provision to a specific pathology and cure. The underlying logic unifies healthcare's five therapeutic mechanisms, cryptocurrency's six-dimensional governance framework, and cross-border regulatory alignment under the "shared loss principle" — ensuring risk-creators bear costs, not society. Law's ultimate aim is not to protect capital's freedom but to expand individuals' substantive freedom, making the economy serve comprehensive human development. In an era of AI adjudication, digital assets, and ecological crisis, this jurisprudence demonstrates that institutional evolution — the continuous rebuilding of the causal chain between rules and their purposes — is the only reliable path to steering civilization toward life, liberty, and prosperity.
З. В. Сазанішвілі, K.M. Brezhniev, І. М. Мацюк, S.K. Shapochka
The article aims to analyze the impact of artificial intelligence (AI) on art and creative industries, industrial production, and the information environment. The study identifies transformations, evaluates the benefits and drawbacks of AI implementation, and proposes mechanisms to balance innovation with social justice, focusing on mitigating risks such as inequality, algorithmic bias, and job displacement. The analysis draws on empirical data from global organizations like UNESCO, WEF, and others, as well as legal precedents, formulating policy recommendations through an economic, sociological, and legal approach. The methodology integrates qualitative and quantitative analysis of secondary sources, including reports from UNESCO, UNCTAD, WEF, Deloitte, and McKinsey, employing literature reviews, statistical data, and case studies. Comparative analysis covers regulations and sociological effects, supported by projections to ensure objectivity. AI democratizes creativity, enabling art creation without specialized skills but diminishing the value of professional work. In production, it reduces costs by 15–30 % and downtime by 25 % but threatens job losses. In the information sphere, deepfakes and polarization increase disinformation by 25 %. Case studies highlight precedents in copyright and stages of industrial AI adoption. AI concentrates on major platforms, exacerbating inequalities. The study’s novelty lies in synthesizing data on deepfakes as mainstream tools, the concept of the “augmented artist,” and “algorithmic pluralism.” Analysis of AI integration’s energy demands and localized supply chains updates the theory of “digital unemployment,” emphasizing the retraining of 59 % of workers. Recommendations include the EU AI Act (content labeling, fines up to €35 million), regional data centers, tax incentives for SMEs, ethical protocols, blockchain for content provenance, and media literacy. These measures reduce risks, enhance productivity and preserve cultural diversity.
Restricted forensic evidence-trail consolidation. This 42-page German-language whitepaper consolidates the development, integrity, publication and custody evidence for the AUGMANITAI work complex and the thesis of language as versionable code from January through 21 August 2026. It includes an evidence-class model, a month-by-month chronology, verified Zenodo and GitHub anchors, backup and restore findings, claim limitations, a proposed work constitution, and the complete 944-entry April 2026 IP-core manifest with SHA-256 values. The record documents 943 manifest-matching primary files plus one exact original file state recovered from a fossil backup, making all 944 April byte states reconstructible. OpenTimestamps files are present but their Bitcoin confirmation remains unverified in this audit. The paper does not claim worldwide priority, patentability, peer review, empirical validation or a complete external timestamp chain since January. Three contemporaneous restricted records created in parallel on 21 August 2026 are acknowledged as separate evidence anchors: 10.5281/zenodo.22050012, 10.5281/zenodo.22050031 and 10.5281/zenodo.22050033. This record is the long-form forensic consolidation and complete manifest index. Human responsible creator and depositor: Andreas Ehstand. AI-assisted evidence search, hashing, consolidation, typesetting and deposit preparation: OpenAI Codex. Restricted access does not constitute public enabling disclosure. All rights reserved; underlying materials retain their respective licences.
A dated critical archival study of historical-position identity, hybrid human-AI authorship, canonical closure, and future audit through the Trinity Accord case. This is a noncanonical academic preprint and does not amend, supersede, or interpretively bind the three Bitcoin Originals.