The ethics of artificial intelligence (AI) is a widely discussed topic. There are numerous initiatives that aim to develop the principles and guidance to ensure that the development, deployment and use of AI are ethically acceptable. What is generally unclear is how organisations that make use of AI understand and address these ethical issues in practice. While there is an abundance of conceptual work on AI ethics, empirical insights are rare and often anecdotal. This paper fills the gap in our current understanding of how organisations deal with AI ethics by presenting empirical findings collected using a set of ten case studies and providing an account of the cross-case analysis. The paper reviews the discussion of ethical issues of AI as well as mitigation strategies that have been proposed in the literature. Using this background, the cross-case analysis categorises the organisational responses that were observed in practice. The discussion shows that organisations are highly aware of the AI ethics debate and keen to engage with ethical issues proactively. However, they make use of only a relatively small subsection of the mitigation strategies proposed in the literature. These insights are of importance to organisations deploying or using AI, to the academic AI ethics debate, but maybe most valuable to policymakers involved in the current debate about suitable policy developments to address the ethical issues raised by AI.

This study investigates the ethical use of Big Data and Artificial Intelligence (AI) technologies (BD + AI)—using an empirical approach. The paper categorises the current literature and presents a multi-case study of 'on-the-ground' ethical issues that uses qualitative tools to analyse findings from ten targeted case-studies from a range of domains. The analysis coalesces identified singular ethical issues, (from the literature), into clusters to offer a comparison with the proposed classification in the literature. The results show that despite the variety of different social domains, fields, and applications of AI, there is overlap and correlation between the organisations’ ethical concerns. This more detailed understanding of ethics in AI + BD is required to ensure that the multitude of suggested ways of addressing them can be targeted and succeed in mitigating the pertinent ethical issues that are often discussed in the literature.

The concept of Responsible Research and Innovation (RRI) has been developed in the Global North with little reference to what RRI or RRI-like practices mean in the context of the Global South. We discuss the contextual factors driving the emergence of responsible innovation practice and ways in which they can inform efforts to develop an inclusive and global conceptualization of RRI. Findings show that some activities in the Global South are comparable to those of the Global North, although important differences exist in motivations and structures. We go beyond prior framings to propose a reconfigured, inclusive theoretical framework that accounts for trans-regional differences by looking at three cases to illustrate international differences and to demonstrate an RRI continuum. Netherlands represents a more Global North concept of RRI; Malawi a Global South RRI concept and Brazil sits between these two extremes and assimilates RRI concepts from both ends of the continuum.

The Sustainable Development Goals (SDGs) are internationally agreed goals that allow us to determine what humanity, as represented by 193 member states, finds acceptable and desirable. The paper explores how technology can be used to address the SDGs and in particular Smart Information Systems (SIS). SIS, the technologies that build on big data analytics, typically facilitated by AI techniques such as machine learning, are expected to grow in importance and impact. Some of these impacts are likely to be beneficial, notably the growth in efficiency and profits, which will contribute to societal wellbeing. At the same time, there are significant ethical concerns about the consequences of algorithmic biases, job loss, power asymmetries and surveillance, as a result of SIS use. SIS have the potential to exacerbate inequality and further entrench the market dominance of big tech companies, if left uncontrolled. Measuring the impact of SIS on SDGs thus provides a way of assessing whether an SIS or an application of such a technology is acceptable in terms of balancing foreseeable benefits and harms. One possible approach is to use the SDGs as guidelines to determine the ethical nature of SIS implementation. While the idea of using SDGs as a yardstick to measure the acceptability of emerging technologies is conceptually strong, there should be empirical evidence to support such approaches. The paper describes the findings of a set of 6 case studies of SIS across a broad range of application areas, such as smart cities, agriculture, finance, insurance and logistics, explicitly focusing on ethical issues that SIS commonly raise and empirical insights from organisations using these technologies.

While the use of smart information systems (the combination of AI and Big Data) offer great potential for meeting many of the UN's Sustainable Development Goals (SDGs), they also raise a number of ethical challenges in their implementation. Through the use of six empirical case studies, this paper will examine potential ethical issues relating to use of SIS to meet the challenges in six of the SDGs (2, 3, 7, 8, 11, and 12). The paper will show that often a simple "technofix", such as through the use of SIS, is not sufficient and may exacerbate, or create new, issues for the development community using SIS.

ICT plays a significant role in both developed and developing countries across the globe. ICTs are also seen as playing an important role in achieving the UN’s Sustainable Development Goals (SDGs). In particular, their importance is seen in terms of achieving sustainable development in the areas of health, education, social inclusion, global partnership and empowerment, among others. However, much ground cannot be made without creating and involving communities and networks that will support the sustainable use and development of ICT in emerging and developing countries. One concept that advocates for the inclusion of communities and establishment of networks around the use and development of ICT is Responsible Research and Innovation (RRI). At the core of RRI is the engagement of different stakeholders within communities and networks that are involved with ICT development in emerging and developing countries to ensure sustainable development. Using stakeholder theory, we introduce the work being conducted in the Responsible Research and Innovation Networked Globally (RRING) project to highlight the important role of stakeholders as part of RRI in the use and development of ICTs in emerging and developing countries. In particular, we will discuss how stakeholder engagement as part of RRI can be understood in an emerging country like India, specifically through our discussion of a women’s artisan handicraft centre known as Gramshree in the heart of Ahmedabad, India. We aim to highlight aspects of stakeholder engagement, the role of stakeholders in implementing ICTs in women’s sustainable development and empowerment. The aim is to showcase how sustainable development and empowerment could be achieved through the formation of a community network around ICT use and development. Keywords: Sustainable Development, Responsible Research and Innovation, ICT, Women Empowerment, Stakeholder Engagement