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SCHEMA FOR AI DRIVEN MUNICIPALITY: WHY A SIMPLE CHATBOT IS NOT ENOUGH

Many municipalities adopt artificial intelligence without knowing if their supporting data is accurate, turning municipal decision-making into an opaque "black box." To address this, we introduce the AI Flow for Municipalities, an evidence-led orchestration system developed under the Czech CESMOD project. Built upon the national Smart Cities Concept, the system utilizes the 4-Diamonds framework and an expert-cu...

EVALUATING GENERATIVE AI MODELS FOR HISTORIC URBAN HERITAGE VISUALIZATION IN SM...

Evaluating generative AI models across five sites, this study investigates historical urban heritage visualization on Cairo’s Al-Mu'izz Street to advance smart city preservation frameworks. Findings demonstrate that Gemini 3.1 Pro achieves superior conservation fidelity (84.9% overall; 4.20/5 in retention and historical reliability), whereas ChatGPT 5.6 Sol excels in visual quality and material expression. Cros...

AI SECURITY AND MODEL RISK GOVERNANCE: A FRAMEWORK FOR MANAGING CYBER RISKS IN ...

Financial institutions increasingly depend on machine learning and generative artificial intelligence to underwrite credit, detect fraud, price risk, execute trades, and serve customers through conversational agents. This growing reliance introduces an attack surface that traditional information-security controls and traditional model-risk-management (MRM) programs were never designed to address in combination....

Urban Expansion and the Loss of Ecological Infrastructure: Mapping the Sustaina...

Rapid metropolitan growth converts ecologically functional land into built surfaces, yet the sustainability costs of this process are fragmented across land-change, habitat, ecosystem-service, and urban-climate research. This systematic review synthesised the evidence on the effects of urban expansion on ecological infrastructure and converted the evidence into similar sustainability-cost spaces. Scopus, Web of...

A Comparative Study of Victim Access to Justice Under the Bharatiya Nagarik Sur...

Traditional common-law adversarial systems have historically relegated the victim of a crime to the margins of the trial, conceptualizing crime primarily as an offense against the sovereign state. In contrast, modern international criminal justice—most notably codified in the Rome Statute of the International Criminal Court (ICC)—recognizes victims as autonomous procedural actors with substantive participatory,...

Predictive AI for Enterprise Product Optimisation: Behavioural Modelling, Custo...

Enterprises increasingly seek to optimise digital products using predictive artificial intelligence (AI) that anticipates customer behaviour rather than merely reporting it. This paper proposes and evaluates an integrated predictive-AI framework for enterprise product optimisation that unifies five capabilities usually pursued in isolation: behavioural modelling, customer-acquisition analytics, process intellig...

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