Commercial interest in land (large-scale land acquisition, LaSLA) in developing countries is a hot topic for debate and its potential consequences are contentious: proponents conceive of it as much needed investment into the formerly neglected agricultural sector while opponents point to severe social and environmental effects. This contribution discusses, if and how sustainability standards and codes of conduct can contribute towards governing LaSLA. Based on the WCED-definition we develop a conception of sustainability that allows framing potential negative effects as issues (...) of intra- and intergenerational justice. In a second step we specify these claims of justice, drawing on a human rights approach as well as three guidelines for sustainable development, namely, efficiency, consistency and resilience, to arrive at six guidelines for social and environmental sustainability criteria of LaSLA. We compare our suggestions with existing proposals for sustainability standards of LaSLA and with the certification schemes for sustainable production of bioenergy. From this we draw lessons for development and implementation of sustainability standards for LaSLA. (shrink)

Strategies for improving the explainability of artificial agents are a key approach to support the understandability of artificial agents’ decision-making processes and their trustworthiness. However, since explanations are not inclined to standardization, finding solutions that fit the algorithmic-based decision-making processes of artificial agents poses a compelling challenge. This paper addresses the concept of trust in relation to complementary aspects that play a role in interpersonal and human–agent relationships, such as users’ confidence and their perception of artificial agents’ reliability. Particularly, this (...) paper focuses on non-expert users’ perspectives, since users with little technical knowledge are likely to benefit the most from “post-hoc”, everyday explanations. Drawing upon the explainable AI and social sciences literature, this paper investigates how artificial agent’s explainability and trust are interrelated at different stages of an interaction. Specifically, the possibility of implementing explainability as a trust building, trust maintenance and restoration strategy is investigated. To this extent, the paper identifies and discusses the intrinsic limits and fundamental features of explanations, such as structural qualities and communication strategies. Accordingly, this paper contributes to the debate by providing recommendations on how to maximize the effectiveness of explanations for supporting non-expert users’ understanding and trust. (shrink)