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The age of artificial intelligence (AI) is already upon us. The rapid development of AI tools is facilitating sustainable development and its corollary social good. For AI dedicated to social good to be impactful, it has to be human-centred, striving to achieve inclusiveness, sustainable livelihoods and community well-being. In short, it offers major opportunities to holistically enhance peoples' lives in diverse areas: education, health care, food security, disaster reduction, smart cities, etc. However, ethical, unbiased and ‘secure-by-design’ algorithms that power AI are crucial to building trust in this technology. Civil society's engagement can hopefully drive the features and values that should be embedded in AI.

This chapter focuses on the societal benefits that AI can deliver. Our initiatives and decisions of today will fashion the ‘Social Good’ AI applications of tomorrow. Sustainable Development Goals (SDGs) being addressed are 2–4 and 10–11.

This article considers how digital technologies are informed by, and implicated in, the systematic and interlocking oppressions of colonialism, misogyny, and racism, all of which have been identified as root causes of the missing and murdered Indigenous women crisis in Canada. The authors consider how technology can facilitate multiple forms of violence against women including stalking and intimate partner violence, human trafficking, pornography and child abuse images, and online hate and harassment and note instances where Indigenous women and girls may be particularly vulnerable. The authors also explore some of the complexities related to police use of technology for investigatory purposes, touching on police use of social media and DNA technology. Without simplistically blaming technology, the authors argue that technology interacts with multiple factors in the complex historical, socio-cultural environment that incubates the national crisis of missing and murdered Indigenous women and girls. The article concludes with related questions that may be considered at the impending national inquiry.

This study evaluates a multidimensional hierarchical scale of smart policing service quality.

Qualitative and quantitative analysis tools were used to develop a smart policing service quality scale based on the integrative psychometric scale development methodology. A multidimensional hierarchical structure was proposed for smart policing service quality; a group of preliminary items selected from literature was used for the qualitative analysis. For data collection, users of smart policing services were selected through the United Arab Emirates (UAE) research centre. Several statistical methods were employed to verify reliability and validity of the construct and nomological validity of the proposed scale.

A smart policing service quality scale of 23 items was developed based on a hierarchical factor model structure. Nomological testing indicated that overall smart policing service quality is positive and significant, thus contributing to user satisfaction, intention to continue using the system and enhanced quality of life.

This study enables managers to evaluate types of policing quality and effectively implement strategies to address security and sustainability issues that exist currently in smart services.

Previous studies on policing service quality have not sufficiently addressed the role of smart policing service quality; the nature of discussion in this area is primarily based around concepts. The development of the smart policing service quality scale provides a measurement tool for researchers to use to enhance the understanding of smart policing service quality.

Corporate real estate management (CREM) is complex due to an increasing number of real estate (RE) added values and the tensions between them. RE managers are faced with trade-offs: to choose a higher performance for one added value at the cost of another. CREM research mainly deals with trade-offs in a hypothetical sense, without looking at the characteristics of the RE portfolio nor the specific context in which trade-offs are made. The purpose of this paper is to further develop the concept of real estate value (REV) optimisation with regard to tensions between decreasing CO₂ emissions and supporting user activities.

Mixed method study. REV optimisation between user activities and energy efficiency for police stations in the Netherlands built between 2000 and 2020 is analysed. This is complemented by interviews with an RE manager and senior user of police stations and analysis of policy documents.

The characteristics of the police station portfolio indicate no correlation between user activities and energy efficiency for the case studied. This is complemented by interviews, from which it becomes clear that there was in fact little tension between supporting user activities and energy efficiency. The performances of these two different added values were optimised separately.

This study combines different scales (building and portfolio level) with different types of data: portfolio analysis, document analysis and interviews. This creates a comprehensive image of whether and how the Netherlands police optimised the two RE values.

This paper aims to explore police perspectives on community engagement strategies within the context of crime prevention in South Africa, focusing on Johannesburg metropolitan police stations. The study’s objective is to scrutinise the effectiveness and challenges of community policing strategies.

Through a qualitative research approach, this study conducted unstructured interviews with station commanders and visible policing officers across 10 Johannesburg metropolitan police stations.

The findings reveal that community policing strategies, such as community–policing forums, sector policing, street patrollers and social media utilisation, can effectively engage communities as partners in crime prevention. However, certain challenges such as resource limitations and difficulties in policing-specific regions, were also identified.

This study contributes to the broader understanding of community–policing partnerships and the practical implications of community–policing strategies in South Africa, suggesting areas for improvement and adaptation to the unique South African context. This knowledge can help optimise efforts to foster stronger relationships between police and communities, bolster public trust and ultimately improve crime prevention outcomes.