In this chapter, I philosophically reflect on the management of corporate responsibility in the case of innovation. I first set the scene by contrasting responsibility in corporate social responsibility and innovation ethics, and arguing that classical conceptualizations of backward and forward looking responsibility are inappropriate in the case of innovation. Next, I introduce the concept of responsible innovation as a lens to understand the management of corporate responsibility in the case of innovation and show that the notions of virtue ethics (...) and practical wisdom are inappropriate for understanding what is at stake in innovation ethics, because the notion of practical wisdom is at odds with the nature of innovation. I conclude this chapter by proposing a concept of action-based responsible management of corporate innovation, which will be framed in terms of innovation as ethos. (shrink)

Smart farming has largely been driven by productivity and efficiency aims, but there is an increasing awareness of potential socio-ethical challenges. The responsible research and innovation approach aims to address such challenges but has had limited application in smart farming contexts. Using smart dairying research and development in New Zealand as a case study, we examine the extent to which principles of RRI have been applied in NZ smart dairying development and assess the broader lessons for RRI application in smart (...) farming. We draw on insights from: a review of research on dairy technology use in NZ; interviews with smart dairying stakeholders; and the application of an analytical framework based on RRI dimensions. We conclude that smart dairying R&D and innovation activities have focused on technology development and on-farm use without considering socio-ethical implications and have excluded certain actors such as citizens and consumers. This indicates that readiness to enact RRI in this context is not yet optimal, and future RRI efforts require leadership by government or dairy sector organisations to fully embed RRI principles in the guidelines for large R&D project design. More broadly, enacting RRI in smart farming requires initial identification of RRI readiness in a given sector or country and devising a roadmap and coherent project portfolio to support capacity building for enacting RRI. Additionally, methods for operationalising RRI must be adapted to the context of the national or sectoral innovation system in which smart farming is being developed. (shrink)

In this panel, we explore the future of value sensitive design (VSD). The stakes are high. Many in public and private sectors and in civil society are gradually realizing that taking our values seriously implies that we have to ensure that values effectively inform the design of technology which, in turn, shapes people’s lives. Value sensitive design offers a highly developed set of theory, tools, and methods to systematically do so.

Smart farming has largely been driven by productivity and efficiency aims, but there is an increasing awareness of potential socio-ethical challenges. The responsible research and innovation approach aims to address such challenges but has had limited application in smart farming contexts. Using smart dairying research and development in New Zealand as a case study, we examine the extent to which principles of RRI have been applied in NZ smart dairying development and assess the broader lessons for RRI application in smart (...) farming. We draw on insights from: a review of research on dairy technology use in NZ; interviews with smart dairying stakeholders; and the application of an analytical framework based on RRI dimensions. We conclude that smart dairying R&D and innovation activities have focused on technology development and on-farm use without considering socio-ethical implications and have excluded certain actors such as citizens and consumers. This indicates that readiness to enact RRI in this context is not yet optimal, and future RRI efforts require leadership by government or dairy sector organisations to fully embed RRI principles in the guidelines for large R&D project design. More broadly, enacting RRI in smart farming requires initial identification of RRI readiness in a given sector or country and devising a roadmap and coherent project portfolio to support capacity building for enacting RRI. Additionally, methods for operationalising RRI must be adapted to the context of the national or sectoral innovation system in which smart farming is being developed. (shrink)

This article aims to explore the debate on human enhancement from the perspective of the evolutions of responsibility paradigms, and in particular from the perspective of the so-called Responsible Research and Innovation approach. The aim is not to explore the arguments pro or contra the ethical legitimacy and/or technical feasibility of human enhancement, but rather exploring if, and how, the RRI perspective can shape the debate on human enhancement.In particular, the human enhancement debate will be read through the lenses of (...) four main responsibility paradigms that we sketch by examining both, the historical and conceptual evolution of the responsibility idea and the dynamics of its ascription. In order to provide a useful scheme for interpreting human enhancement, RRI will be characterised as a distinctive responsibility model that can subsequently be used to frame the debate on HE with a particular emphasis on its normative implications, as well as on its social and political significance. (shrink)

This research examines a series of case studies from the agricultural sector to illustrate how various models of innovation embrace value proposition. A conscious value contestation at the interface of science, policy and civil society requires transformations in the triple-helix model of university-government-industry collaboration, because reiterations in the triple-helix model of innovation, such as quadruple, quintuple and higher helices, do not necessarily address civil society concerns for human values and science ethics. This research develops and tests a matrix model of (...) university-government-industry-civil society collaboration, which involves the co-creation of inclusive and transformational spaces for value proposition. Findings suggest that the matrix model of innovation institutionalises citizen science as it serves as a moral heuristic to make seemingly apolitical science responsive to essentially contested societal values. (shrink)

This paper contributes to the (re-)conceptualisation of responsible innovation by proposing an evolutionary economic approach that focuses on the role of consumers in the innovation process. After a discussion of the philosophical foundations and ethical implications of this approach, which bears an explanatory potential that has not been adequately considered in previous discussions of responsible innovation, we present a first step towards capturing the important but often neglected role of consumers in innovation processes (including responsible innovation): We propose an agent-based (...) model that incorporates a multidimensional space of characteristics in which new products or services are represented by more than the mere aspect of price and quality. Instead, innovations are denoted by a large set of characteristics, including also negative or harmful ones. The model is used to illustrate that consumers’ heterogeneity and bounded rationality – even if considered in a simple manner – indeed play a crucial role in the creation and diffusion of responsible innovation which can and should be used for further work in this field and for possible extensions of the model. (shrink)

Like many ethics debates surrounding emerging technologies, neuroethics is increasingly concerned with the private sector. Here, entrepreneurial visions and claims of how neurotechnology innovation will revolutionize society—from brain-computer-interfaces to neural enhancement and cognitive phenotyping—are confronted with public and policy concerns about the risks and ethical challenges related to such innovations. But while neuroethics frameworks have a longer track record in public sector research such as the U.S. BRAIN Initiative, much less is known about how businesses—and especially start-ups—address ethics in tech (...) development. In this paper, we investigate how actors in the field frame and enact ethics as part of their innovative R&D processes and business models. Drawing on an empirical case study on direct-to-consumer (DTC) neurotechnology start-ups, we find that actors engage in careful boundary-work to anticipate and address public critique of their technologies, which allows them to delineate a manageable scope of their ethics integration. In particular, boundaries are drawn around four areas: the technology’s actual capability, purpose, safety and evidence-base. By drawing such lines of demarcation, we suggest that start-ups make their visions of ethical neurotechnology in society more acceptable, plausible and desirable, favoring their innovations while at the same time assigning discrete responsibilities for ethics. These visions establish a link from the present into the future, mobilizing the latter as promissory place where a technology’s benefits will materialize and to which certain ethical issues can be deferred. In turn, the present is constructed as a moment in which ethical engagement could be delegated to permissive regulatory standards and scientific authority. Our empirical tracing of the construction of ‘ethical realities’ in and by start-ups offers new inroads for ethics research and governance in tech industries beyond neurotechnology. (shrink)

Cross-sectorial, dynamic, and innovative partnerships are essential to resolve the challenges of humankind in the 21st century. At the same time, trust in each other’s integrity and good will is a precondition for the solution of any complex problem, and certainly for the success of the United Nations Sustainable Development Agenda. Experience shows that a nation’s economic and social success is at its greatest if, and when, there is cooperation and even cocreation involving a fair division of labor and responsibility (...) among the different societal stakeholders. This paper uses Ralf Dahrendorf’s seminal work on obligations, as well as the European Commission’s Science with and for Society unit’s definition of responsible research and innovation (RRI), to motivate industry responsibilities to make the world a healthier place. (shrink)