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Entre el turisme i l'habitatge: Gentrificació i cerisi habitacional en el context portuguès
2026-02-10 - Alcindor, Mónica
La crisis de la vivienda en Portugal, identificada por la Comisión Europea como la más grave de la Unión Europea, pone de relieve la convergencia entre dinámicas inmobiliarias, turismo y procesos de gentrificación que están reconfigurando profundamente las ciudades y territorios con alto valor patrimonial. Según el informe europeo publicado a finales de 2025, el mercado residencial portugués presenta una sobrevaloración estimada entre el 25 % y el 35 %, la más elevada de la UE, y además fue el único país donde esta sobrevaloración continuó aumentando durante 2024 (Council of the European Union, 2025).
Clinical AI Requires Living Oversight: Legal and Ethical Grounds for a New Accountability Framework
2026-02-13 - Costa, Eva Dias; Correia, Mónica; Nunes, Rui
This article contends that the European frameworks governing clinical AI fail to sustain accountability once systems are in use, and that certification and documentation are not apt to capture distributed, evolving decision-making. Drawing on comparative doctrine, the paper diagnoses the gap between formal compliance and lived responsibility. It advances living oversight as a governance practice that is continuous and substantively human, reframes stewardship as a shared responsibility across developers, clinicians, institutions, and regulators, and sets out practical implications: dynamic consent, post-deployment auditing, and enforceable redress. Accountability has to be designed into operation – not verified after the event – if clinical AI is to remain compatible with the moral foundations of healthcare.
Exploring psychosocial predictors of AI use intention: The moderating role of organisational culture in diverse workplaces
2026-02-12 - Lopes, João M.; Gomes, Sofia; Nogueira, Elisabete; Ferreira, João J.; Dabic, Marina
Artificial intelligence (AI) is transforming workplaces and shaping how employees perceive and interact with technology. Drawing on the Technology Acceptance Model (TAM) and Organisational Culture Theory, this study examines how psychosocial predictors, promotion focus, positive reinterpretation and technostress influence workers' perceived usefulness of AI and their intention to use it. It also tests whether an adaptable organisational culture strengthens the relationship between perceived usefulness and intention to use AI. Data were collected from 422 Portuguese respondents and analysed using partial least squares. Results show that both promotion focus and positive reinterpretation positively affect perceived usefulness and the intention to use AI at work. Technostress negatively affects perceived usefulness but does not significantly impact intention to use AI. Perceived usefulness mediates the effects of psychosocial predictors on intention: the indirect effects are positive for promotion focus and positive reinterpretation and negative for technostress. Moreover, a highly adaptable organisational culture amplifies the positive link between perceived usefulness and employees' intention to adopt AI. The study extends TAM by incorporating psychosocial antecedents and provides empirical support for the moderating role of cultural adaptability, offering insights for fostering responsible and sustainable AI adoption across diverse organisational contexts.