This paper aims to contribute to the ongoing conceptual debate on responsible innovation, and provides innovation practices and processes that can help to implement responsible innovation in the business context. Based on a systematic literature review of 72 empirical scholarly articles, it was possible to identify, analyse and synthesise empirical findings reported in studies on social, sustainable and responsible innovation practices in the business context. The synthesis of the included articles resulted in a refined framework for responsible innovation in the (...) business context. This framework includes an overview of innovation practices and processes that can enhance the dimensions of responsible innovation: anticipation, reflexivity, inclusion, deliberation, responsiveness and knowledge management. Additionally, knowledge gaps are identified and a research agenda for responsible innovation is proposed. This review can therefore serve as a next step in the theoretical and practical development of responsible innovation in general, and in the business context in particular. (shrink)

Value Sensitive Design (VSD) is an established method for integrating values into technical design. It has been applied to different technologies and, more recently, to artificial intelligence (AI). We argue that AI poses a number of challenges specific to VSD that require a somewhat modified VSD approach. Machine learning (ML), in particular, poses two challenges. First, humans may not understand how an AI system learns certain things. This requires paying attention to values such as transparency, explicability, and accountability. Second, ML (...) may lead to AI systems adapting in ways that ‘disembody’ the values embedded in them. To address this, we propose a threefold modified VSD approach: 1) integrating a known set of VSD principles (AI4SG) as design norms from which more specific design requirements can be derived; 2) distinguishing between values that are promoted and respected by the design to ensure outcomes that not only do no harm but also contribute to good; and 3) extending the VSD process to encompass the whole life cycle of an AI technology in order to monitor unintended value consequences and redesign as needed. We illustrate our VSD for AI approach with an example use case of a SARS-CoV-2 contact tracing app. (shrink)

he Handbook constitutes a global resource for the fast growing interdisciplinary research and policy communities addressing the challenge of driving innovation towards socially desirable outcomes. This book brings together well-known authors from the US, Europe, Asia and South-Africa who develop conceptual, ethical and regional perspectives on responsible innovation as well as exploring the prospects for further implementation of responsible innovation in emerging technological practices ranging from agriculture and medicine, to nanotechnology and robotics. The emphasis is on the socio-economic and normative (...) dimensions of innovation including issues of social risk and sustainability. (shrink)

Safe-by-design aims at addressing safety issues already during the R&D and design phases of new technologies. SbD has increasingly become popular in the last few years for addressing the risks of emerging technologies like nanotechnology and synthetic biology. We ask to what extent SbD approaches can deal with uncertainty, in particular with indeterminacy, i.e., the fact that the actual safety of a technology depends on the behavior of actors in the value chain like users and operators. We argue that while (...) indeterminacy may be approached by designing out users as much as possible in attaining safety, this is often not a good strategy. It will not only make it more difficult to deal with unexpected risks; it also misses out on the resources that users can bring for achieving safety, and it is undemocratic. We argue that rather than directly designing for safety, it is better to design for the responsibility for safety, i.e., designers should think where the responsibility for safety is best situated and design technologies accordingly. We propose some heuristics that can be used in deciding how to share and distribute responsibility for safety through design. (shrink)

The current challenges of implementing responsible innovation can in part be traced back to the assumptions behind the ways of thinking that ground the different pre-existing theories and approaches that are shared under the RI-umbrella. Achieving the ideals of RI, therefore not only requires a shift on an operational and systemic level but also at the paradigm-level. In order to develop a deeper understanding of this paradigm shift, this paper analyses the paradigm-level assumptions that are being brought forward by the (...) different conceptualizations of RI. To this purpose it deploys a pragmatic stance on paradigms that allows discerning ontological and axiological elements shared by the RI community and an accompanying critical hermeneutic research approach that enables the profiling of paradigmatic beliefs and assumptions of accounts of RI. The research surfaces the distance of four salient RI accounts from the currently dominant techno-economic innovation paradigm RI seeks to shift. With this, our contribution helps to raise the self-awareness of the RI community about their presuppositions and the paradigm level barriers and enablers to reaching the RI ideal. This insight is needed for a successful transition to responsible research and innovation practices. (shrink)

This paper argues that although moral intuitions are insufficient for making judgments on new technological innovations, they maintain great utility for informing responsible innovation. To do this, this paper employs the Value Sensitive Design (VSD) methodology as an illustrative example of how stakeholder values can be better distilled to inform responsible innovation. Further, it is argued that moral intuitions are necessary for determining stakeholder values required for the design of responsible technologies. This argument is supported by the claim that the (...) moral intuitions of stakeholders allow designers to conceptualize stakeholder values and incorporate them into the early phases of design. It is concluded that design-for-values (DFV) frameworks like the VSD methodology can remain potent if developers adopt heuristic tools to diminish the influence of cognitive biases thus strengthening the reliability of moral intuitions. (shrink)

Responsible research and innovation has come to represent a change in the relationship between science, technology and society. With origins in the democratisation of science, and the inclusion of ethical and societal aspects in research and development activities, RRI offers a means of integrating society and the research and innovation communities. In this article, we frame RRI activities through the lens of layers of science and technology governance as a means of characterising the context in which the RRI activity is (...) positioned and the goal of those actors promoting the RRI activities in shaping overall governance patterns. RRI began to emerge during a time of considerable deliberation about the societal and governance challenges around nanotechnology, in which stakeholders were looking for new ways of integrating notions of responsibility in nanotechnology research and development. For this reason, this article focuses on nanotechnology as the site for exploring the evolution and growth of RRI. (shrink)

The aim of this study is to provide a discussion on the definitions and conceptual dimensions of Responsible Research and Innovation based on findings from the literature. In the study, the outcomes of a literature review of 235 RRI-related articles were presented. The articles were selected from the EBSCO and Google Scholar databases regarding the definitions and dimensions of RRI. The results of the study indicated that while administrative definitions were widely quoted in the reviewed literature, they were not substantially (...) further elaborated. Academic definitions were mostly derived from the institutional definitions; however, more empirical studies should be conducted in order to give a broader empirical basis to the development of the concept. In the current study, four distinct conceptual dimensions of RRI that appeared in the reviewed literature were brought out: inclusion, anticipation, responsiveness and reflexivity. Two emerging conceptual dimensions were also added: sustainability and care. (shrink)

This paper makes a plea for more reflexive attempts to develop and anchor the emerging concept of responsible research and innovation. RRI has recently emerged as a buzzword in science policy, becoming a focus of concerted experimentation in many academic circles. Its performative capacity means that it is able to mobilise resources and spaces despite no common understanding of what it is or should be ‘made of’. In order to support reflection and practice amongst those who are interested in and (...) using the concept, this paper unpacks understandings of RRI across a multi-disciplinary body of peer-reviewed literature. Our analysis focuses on three key dimensions of RRI that remain particularly opaque. A total of 48 publications were selected through a systematic literature search and their content was qualitatively analysed. Across the literature, RRI is portrayed as a concept that embeds numerous features of existing approaches to govern and assess emerging technologies. Our analysis suggests that its greatest potential may be in its ability to unify and provide political momentum to a wide range of long-articulated ethical and policy issues. At the same time, RRI’s dynamism and resulting complexity may represent its greatest challenge. Further clarification on what RRI has to offer in practice—beyond what has been offered to date—is still needed, as well as more explicit engagement with research and institutional cultures of responsibility. Such work may help to realise the high political expectations that are attached to nascent RRI. (shrink)

A significant part of responsible innovation is engagement with diverse groups of stakeholders; this remains true for projects investigating responsible innovation practices. This chapter discusses strategies for engaging small and medium-sized enterprises in co-creating visions of and plans for implementing responsible innovation, drawing on the example of engagement with United Kingdom cyber security companies. The key aspect of the engagement was building trust between the responsible innovation researchers and the companies. Trust was built by a movement away from traditional recruitment (...) procedures for research projects, towards proactive engagement with the culture and traditions of the sector – participating in company sponsored talks and conferences, finding ways to communicate effectively, and ensuring a tailored message that fit the expectations and requirements of the sector. This chapter reviews the context in which the recruitment took place, the assumptions made prior to recruitment, the approaches taken, the revisions made to these approaches, and ultimately offers some general recommendations for industry engagement in responsible innovation activities. (shrink)

This paper presents scientists’ understanding of their roles in society and corresponding responsibilities. It discusses the researchers’ perspective against the background of the contemporary literature on scientific responsibility in the social sciences and philosophy and proposes a heuristic that improves the understanding of the complexity of scientific responsibility. The study is based on qualitative interviews with senior scientists. The presented results show what researchers themselves see as their responsibilities, how they assume them, and what challenges they perceive with respect to (...) their responsibilities. Regarding the latter, the interviewed researchers highlight those aspects of responsibility that go beyond the expertise of their professional role, and thus cannot be carried by scientists alone. For example, scientists alone cannot determine the general direction science takes, or the useful application of their research. The interviewed researchers describe those challenges as responsibilities that must be shared across different societal groups. In the theoretical literature, responsibility has been described as a relation between an actor (who), the action for which someone is responsible (what), and the normative framework against which someone is responsible (why). We will draw on this concept of “relational responsibility” to identify the various actors, normative frameworks, and actions relevant to scientific responsibility. This will serve as a heuristic tool to help identify the entanglement of responsibilities spread across several societal groups. (shrink)

Safe-by-design aims at addressing safety issues already during the R&D and design phases of new technologies. SbD has increasingly become popular in the last few years for addressing the risks of emerging technologies like nanotechnology and synthetic biology. We ask to what extent SbD approaches can deal with uncertainty, in particular with indeterminacy, i.e., the fact that the actual safety of a technology depends on the behavior of actors in the value chain like users and operators. We argue that while (...) indeterminacy may be approached by designing out users as much as possible in attaining safety, this is often not a good strategy. It will not only make it more difficult to deal with unexpected risks; it also misses out on the resources that users can bring for achieving safety, and it is undemocratic. We argue that rather than directly designing for safety, it is better to design for the responsibility for safety, i.e., designers should think where the responsibility for safety is best situated and design technologies accordingly. We propose some heuristics that can be used in deciding how to share and distribute responsibility for safety through design. (shrink)

Modern society is characterised by rapid technological development that is often socially controversial and plagued by extensive scientific uncertainty concerning its socio-ecological impacts. Within this context, the concept of ‘responsible research and innovation’ is currently rising to prominence in international discourse concerning science and technology governance. As this emerging concept of RRI begins to be enacted through instruments, approaches, and initiatives, it is valuable to explore what it is coming to mean for and in practice. In this paper we draw (...) attention to a realm that is often backgrounded in the current discussions of RRI but which has a highly significant impact on scientific research, innovation and policy—namely, the interstitial space of international standardization. Drawing on the case of nanoscale sciences and technologies to make our argument, we present examples of how international standards are already entangled in the development of RRI and yet, how the process of international standardization itself largely fails to embody the norms proposed as characterizing RRI. We suggest that although current models for RRI provide a promising attempt to make research and innovation more responsive to societal needs, ethical values and environmental challenges, such approaches will need to encompass and address a greater diversity of innovation system agents and spaces if they are to prove successful in their aims. (shrink)