This study examines the influence of environmental values on consumer intentions to participate in agritourism through the theory of planned behaviour and value-belief-norm theory. It proposes an integrative model by adding two variables, i.e., environmental benefits and the human-nature coordination concept, to the TPB. The study employs a questionnaire survey method and a sample of 640, which was statistically analysed through structural equation modeling. The results reveal that the “environmental values-attitudes-behavioural intentions” framework has scientific applicability in agritourism. Environmental values, measured (...) through the variables environmental benefits and the human-nature coordination concept, are positively correlated directly or indirectly with agritourism consumption intentions, while attitudes and subjective norms serve as mediators. However, the mediating effect of perceived behavioural control is not statistically significant, indicating making efforts to influence attitudes and subjective norms is more useful for and effective in stimulating the public’s intentions towards agritourism. As this study tests the hypotheses with empirical data, it provides practical implications for policy-makers and programme managers. (shrink)

Organizations such as the EU High-Level Expert Group on AI and the IEEE have recently formulated ethical principles and (moral) values that should be adhered to in the design and deployment of artificial intelligence (AI). These include respect for autonomy, non-maleficence, fairness, transparency, explainability, and accountability. But how can we ensure and verify that an AI system actually respects these values? To help answer this question, I propose an account for determining when an AI system can be said to embody (...) certain values. This account understands embodied values as the result of design activities intended to embed those values in such systems. AI systems are here understood as a special kind of sociotechnical system that, like traditional sociotechnical systems, are composed of technical artifacts, human agents, and institutions but—in addition—contain artificial agents and certain technical norms that regulate interactions between artificial agents and other elements of the system. The specific challenges and opportunities of embedding values in AI systems are discussed, and some lessons for better embedding values in AI systems are drawn. (shrink)