The rapid development of artificial intelligence (AI) has generated transformative opportunities alongside significant ethical, societal, and regulatory challenges. In this paper, we analyse this issue by considering the different approaches and regulatory frameworks of three main actors: the European Union (EU), the United States (US), and China. The analysis shows how they are adopting different strategies: the EU proposes a stringent, risk-based framework to ensure accountability and transparency; the US, traditionally favouring minimal intervention, is moving towards more structured regulation out of ethical and security concerns; and China has integrated AI as a core component of its national strategy, aligning AI development with state objectives and social stability.

This article investigates how Web3 technologies, such as blockchain, NFTs, and the metaverse, can drive business model innovation by enabling new forms of value creation, delivery, and capture. While the strategic potential of Web3 has been widely discussed, there remains a lack of operational tools to guide its implementation in real-world business contexts. To address this gap, we introduce the Web3 value exploitation design model, a step-by-step framework grounded in the GUEST methodology. The model is designed to support engineering managers in assessing Web3 readiness, aligning stakeholders, and developing decentralized business models.

Local Energy Communities (LECs) are gaining prominence as key actors in the transition toward sustainable and decentralized energy systems. A critical challenge for these communities lies in achieving energy self-sufficiency through effective forecasting of energy production and consumption. Accurate forecasting models are essential to support optimization and planning strategies. However, privacy concerns and regulatory constraints often limit the feasibility of centralized data-driven approaches, as users are understandably reluctant to share their consumption data.