Swissi AI Journal
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Peer-reviewed open access

Swissi AI Journal

Artificial intelligence research across methods, systems, evaluation, safety, governance and applied domains, where technical design meets economic and legal evidence.

Submission Infos

Editorial standard

Editorial requirements

Every submission is assessed against six requirements: method, evaluation, claims, prior work, deployed evidence and reproducibility.

Method
The method identifies the data and provenance, model, training and inference settings, and the decisions needed to reproduce the work.
Evaluation
The evaluation reports baselines, ablations, operating conditions, failures and the setup behind each central result.
Claims
Conclusions stay within the evidence. Benchmark results are stated as benchmark results.
Prior work
The article states the literature it stands on and what it adds to it. Where a finding contradicts published work, it engages with that work directly.
Systems in service
Reports on deployed systems state operating conditions, observed behaviour, measured effects and failures.
Reproduction and negative results
Reproductions, refutations and negative results are assessed on the same terms as other submissions.

Articles

Latest articles

SAIJ-014Jul 2026

Multi-Jurisdictional Legal Identity Assurance for Capability Gating

A Design-Science Proposal for Tiered, Reusable Identity Assurance of Natural, Juridical, and Machine Entities

DOI 10.5281/zenodo.21704857

Walter Kurz

Swissi Institute for AI

Flat maximum verification charges every participant for the rarest high-risk case, and excludes those who cannot clear a bar they never needed to. This model holds the assurance state apart from the capability gate that consumes it, so identity demand follows the act and the weight of its consequences rather than mere presence.

Keywords:
  • identity assurance
  • capability gating
  • tiered and reusable verification
  • multi-jurisdictional identity
  • data minimisation
  • entity taxonomy
  • bitemporal reliance
  • design science research
ReadPDF

SAIJ-015Jul 2026

Credentials and Triangulated Trust Signals on a Single Accountable Identifier

A Hash-Anchored Distributed-Ledger Framework for Portable Identity across Jurisdictions

DOI 10.5281/zenodo.21704861

Walter Kurz

Swissi Institute for AI

Digital identity stays rigid while it is bound to provider accounts, mutable handles and local wallet schemes. An accountable hash-anchor tier sits above them: an inert root anchor, unlinkable profile anchors for distinct contexts, and gate-specific assurance evaluated at a point in time.

Keywords:
  • digital identity
  • verifiable credentials
  • accountable pseudonymity
  • distributed ledger
  • selective disclosure
  • identity assurance
  • self-sovereign identity
  • hash anchor
ReadPDF

SAIJ-016Jul 2026

Identity-Staked Consensus and Collusion Resistance in Chartered Validator Sets

A Trust Model for Decentralised and Compliant Distributed Settlement Infrastructure

DOI 10.5281/zenodo.21704863

Walter Kurz

Swissi Institute for AI

Permissioned ledgers are commonly dismissed as centralised because admission is restricted. Separating permissioning from control distribution makes validator identity externally costly collateral: public legal identity, charter state, liability and audit exposure, with affiliation-aware voting caps and per-member collusion margins.

Keywords:
  • identity-staked consensus
  • permissioned ledger
  • proof-of-authority
  • validator trust model
  • collusion resistance
  • settlement infrastructure
  • actor assurance
  • threshold class coverage
  • ledger evidence record
ReadPDF

SAIJ-007May 2026

Firm Valuation When AI Shapes the Business Model

A Milestone-Based Real-Options Framework for the AI Valuation Uncertainty Problem

DOI 10.5281/zenodo.21704865

Walter Kurz1, Wojtek Stricker1, Stefan Marx2, Frank Reinhardt2, Florian Kollberg2

1Swissi Institute for AI2Hochschule für Wirtschaft und Umwelt Nürtingen-Geislingen

Discounted cash flow, the IDW S 1 income approach and market multiples compress milestone probabilities, continuation options and risk shifts into opaque aggregate parameters. A milestone-gated real-options overlay decomposes that value into auditable components, with a Success Readiness Index deriving per-option probabilities from structured pairwise comparisons.

Keywords:
  • firm valuation
  • AI integration
  • real options
  • milestone-based valuation
  • intangible assets
  • AHP
  • multi-criteria decision analysis
ReadPDF

SAIJ-008Mar 2026

Functional Architecture of European Electricity Trading Markets

Requirements for AI Supported Trading Systems under Regulatory Constraints

DOI 10.5281/zenodo.21704867

Walter Kurz, Wojtek Stricker

Swissi Institute for AI

European electricity trading runs as a constrained multi-layer system in which legal design, exchange microstructure and network physics execute jointly across forward, day-ahead, intraday and balancing horizons. The paper specifies an AI-supported trading architecture with a permission gate on executable actions and fail-closed control logic under REMIT, MiFID II, MiFIR and EMIR.

Keywords:
  • EU electricity market
  • market coupling
  • NEMO topology
  • electricity balancing
  • AI trading systems
  • compliance-by-design
ReadPDF

SAIJ-001Aug 2025

Compliant AI Infrastructure for Regulated Finance

A tiered multi-agent framework with DLT audit trails for financial operations in DACH

DOI 10.5281/zenodo.21704869

Walter Kurz, Reinhard Magg

Swissi Institute for AI

Regulation is treated as an orientation layer rather than a deterministic ruleset: a matrix of regulatory intent and exposure is compiled into concrete prohibitions, obligations and runtime budgets. Evidence, decisions and reason codes bind to a permissioned DAG, so a supervisor can replay how an outcome was reached and attribute failure.

Keywords:
  • DACH finance
  • regulated financial institutions
  • multi agent expert system
  • policy compiled orchestration
  • objective under constraints
  • permissioned DLT
  • DAG timestamping
  • audit trails
  • EU AI Act
  • MiFID II
  • DORA
  • GDPR
  • human oversight
  • execution gating
  • ESG budgets
  • verification and assurance
ReadPDF

SAIJ-002Aug 2025

A regulatory-compliant AI and verification system for higher education under ESG-aligned constraints

DOI 10.5281/zenodo.21704871

Walter Kurz, Michel Malara, Wojtek Stricker

Swissi Institute for AI

Two linked components for higher education: a role-specific multi-agent framework for institutional operations, and a decentralised verification layer for audit, credential authentication and tamper-evident records. GDPR, the EU AI Act, EQF, ECTS and ESG directives are encoded as structural constraints rather than checked after the fact.

Keywords:
  • Regulatory technology
  • artificial intelligence in education
  • multi-agent AI systems
  • decentralised verification
  • academic tokenisation
  • GDPR compliance
  • EU AI Act
  • digital credential infrastructure
  • ESG governance
  • UniAI
  • UniDVS
ReadPDF

SAIJ-003Aug 2025

Verifiable Federated AI Infrastructure

Swiss compliant federated AI DLT network using Nash equilibrium and ESG metrics

DOI 10.5281/zenodo.21704873

Walter Kurz, Michel Malara, Velimir Dedić

Swissi Institute for AI

Centralised AI infrastructure scales, and collides with latency, auditability and energy constraints. The design separates centralised training from decentralised inference and storage across five node classes, tying a size-neutral availability floor to tiered rewards for service level, ESG performance and anti-concentration.

Keywords:
  • decentralised data centre
  • AI
  • Federated AI infrastructure
  • ESG
  • ESG-aware compute
  • Nash equilibrium
  • digital sovereignty
  • Swiss data regulation
  • tokenised infrastructure
  • verifiable AI services
ReadPDF

SAIJ-004Aug 2025

Generic AI-DLT Enterprise System

Architecture and methodology for scalable domain adaptation from a unified core framework

DOI 10.5281/zenodo.21704875

Walter Kurz, Michel Malara, Velimir Dedić

Swissi Institute for AI

Compliance in AI deployments is usually applied afterwards, through prompt engineering, rather than built into the foundation. This architecture encodes regulatory, governance and ESG requirements as an objective-under-constraints problem, so every specialised agent operates within legally admissible and auditable bounds before any domain work begins.

Keywords:
  • Compliance-first AI
  • Multi-agent systems
  • Distributed ledger technology
  • Directed acyclic graph
  • Regulation by design
  • ESG integration
  • Domain-agnostic architecture
  • Deployment-agnostic architecture
  • Vendor-agnostic architecture
  • Objective-under-constraints
ReadPDF

SAIJ-005May 2025

Multi-Agent AI Architecture for Regulated Insurers

A generic AI framework under Solvency II and the AI Act in Austria and Germany

DOI 10.5281/zenodo.21704877

Walter Kurz

Swissi Institute for AI

The insurer is modelled as a constrained optimisation entity under solvency, legal, ESG and operational boundaries, then decomposed into specialised agents for capital, underwriting, claims, compliance and fraud. Human-in-the-loop roles enter through tiered access control, with an orchestrator enforcing regulatory admissibility across the set.

Keywords:
  • Multi-Agent Systems
  • Enterprise AI
  • Insurance Firms
  • Solvency II
  • AI Act
  • Regulated Environments
  • Constrained Optimisation
  • Principal-Agent Theory
  • Nash Equilibrium
  • Arrow’s Risk Pooling
  • Austria
  • Germany
  • Institutional Design
  • ESG Compliance
  • Regulatory Architecture
  • Model Context Protocol (MCP)
  • Agent-to-Agent Protocol (A2A)
  • AI Governance
  • Algorithmic Accountability
  • Financial Regulation
ReadPDF

For authors

Submitting to the journal

The editors assess every submission and provide a reasoned decision. Manuscripts selected for peer review are reviewed by a qualified subject specialist. Accepted articles are published continuously under the authors' copyright.

Charges
Submission is free. CHF 450 is charged when the editors send a manuscript out for peer review and covers editorial handling through publication.
Review
Manuscripts selected for peer review are reviewed within 4 weeks by a qualified specialist in the subject.

Authors

Submissions must carry a result that stands up to competent examination: a method with evaluation, a reproduction of a published claim, a measured account of a system in service, or a negative result that closes a question.

Strong submissions state what was tested, what was found, what remains unsettled, and how the work relates to the literature it builds on.

Submission Infos

Institutions

Research groups, laboratories, public bodies and companies contribute work across institutional boundaries. Technical results supported by operating evidence from deployed settings are central to the journal's scope.

Write to the editors with the subject, the manuscript and the people involved. Each author is credited to their institution, and every affiliation appears on the published article.

Submission Infos

Standing calls

Three areas of particular focus

The journal gives particular attention to the three areas below. Manuscripts are assessed as they arrive, on method, evidence and contribution.

SustainabilityArtificial intelligence and ESG evidence
Results that cost less compute to obtain, artificial intelligence applied to generation and grids, and sustainability reporting treated as a question of evidence.
SovereigntyEnterprise AI under European compliance
Systems that run inside the jurisdiction: self-hosted or European inference, data that stays where the law requires it, and what that architecture costs in capability and in money, measured rather than assumed.
LanguageFoundation models for the DACH region
Models trained, adapted and evaluated on German-language material, with benchmarks that exist in German, and a clear account of where a regional model outperforms a general one.

Editorial team

Editorial board

Editorial decisions are taken by named people within their subject competence.

Editor-in-chief

Dr.Walter KurzMBA, M.Sc.

  • Enterprise AI architecture
  • Multi-agent AI systems
  • AI governance and regulatory compliance
  • AI in company valuation and risk
  • Distributed ledger infrastructure
LinkedIn

Editorial board

Prof. Dr.Velimir Dedić

  • Computer and AI system security
  • Management information systems
  • Data analysis and applied statistics
  • IT security policy
  • E-learning and instructional design
LinkedIn

Editorial board

Prof. Dr.Stefan Marx

  • Internal control systems
  • Statutory audit under HGB and IFRS
  • Corporate governance and compliance systems
  • Internal audit and special audits
  • Sustainability and ESG reporting
LinkedIn

Editorial board

Prof. Dr.Frank Reinhardt

  • Tax law
  • Banking regulation and supervision
  • Corporate governance and internal control
  • Compliance and risk management
LinkedIn

Editorial board

Prof. Dr.Jörg Westphal

  • AI adoption in sales organisations
  • Trust in AI systems
  • AI governance in organisations
  • AI-supported sales training
  • B2B sales management and enablement
LinkedIn

Editorial board

Dr.Ralf Kittelberger

  • Compliance management systems
  • Corporate governance and supervisory board duties
  • Employment law and HR compliance
  • AI in legal work and legal operations
  • Company and commercial law
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Editorial board

Dr.Florian Kollberg

  • AI risk management in regulated finance
  • Model risk and validation
  • Financial regulation and FINMA requirements
  • ESG reporting and sustainable supply chains
  • Corporate finance, M&A and company valuation
LinkedIn

Editorial board

Prof. Dr.Svetlana Andjelic

  • Computer adaptive testing
  • Assessment design and measurement
  • Database systems and data modelling
  • Software architecture and domain-driven design
  • Education technology

Editorial board

Prof. Dr.Nenad Dedić

  • Applied cryptography
  • Cloud and data security
  • Software supply-chain security
  • Secure AI architecture and deployment
  • Distributed systems
LinkedIn

Editorial board

Prof. Dr.José Machado

  • Industrial automation and robotics
  • Control systems and mechatronics
  • Industrial systems modelling and simulation
  • Industrial digitalisation and Industry 4.0
  • Manufacturing systems engineering

Editorial board

Prof. Dr.Šemsudin Plojović

  • Applied statistics
  • Management information systems
  • Knowledge management and e-business
  • Innovation ecosystems and entrepreneurship

Editorial board

Prof. Dr.Ivica Stankovic

  • Quantitative risk modelling
  • Model risk management and validation
  • AI governance in financial institutions
  • Market and credit risk analytics
LinkedIn

Editorial board

Prof. Dr.Enes Sukic

  • Information systems and service architecture
  • Scholarly publishing and peer review
  • Research methodology and reporting
  • Management of technology
LinkedIn

For readers and libraries

Terms of publication

Open access, author copyright, peer review charges, licensing, language and independent preservation.

Publisher
Swissi Holding AG, Zug, Switzerland
Editor-in-chief
Dr. Walter Kurz, MBA, M.Sc.
Publication model
Continuous publication. Each article carries an article number.
Review
Manuscripts selected for peer review are reviewed within 4 weeks by a qualified specialist from outside the editorial team.
Access
Open access. Full text is available from publication.
Charges
Submission is free. CHF 450 is charged when the editors send a manuscript out for peer review and covers editorial handling through publication. Reading is free.
Licence
Creative Commons Attribution 4.0 International. Authors keep copyright.
Preservation
Every article is deposited with Zenodo, operated by CERN.
Language
Published in English, with German reading versions when available. The English text is the version of record. Manuscripts are accepted in English or German.

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