Responsible research and innovation (RRI) is an approach to research and innovation governance aiming to ensure that research purpose, process and outcomes are acceptable, sustainable and even desirable. In order to achieve this ambitious aim, RRI must be relevant to research and innovation in industry. In this paper, we discuss a way of understanding and representing RRI that resonates with private companies and lends itself to practical implementation and action. We propose the development of an RRI maturity model in the tradition of other well-established maturity models, linked with a corporate research and development (R&D) process. The foundations of this model lie in the discourse surrounding RRI and selected maturity models from other domains as well as the results of extensive empirical investigation. The model was tested in three industry environments and insights from these case studies show the model to be viable and useful in corporate innovation processes. With this approach, we aim to inspire further research and evaluation of the proposed maturity model as a tool for facilitating the integration of RRI in corporate management.

Responsible research and innovation (RRI) has become an important topic in the academic community and in policy circles, but it has not yet been systematically included in the innovation process of companies. We discuss how companies can integrate RRI into their corporate social responsibility (CSR) policies and business strategy. To this end, we developed a conceptual model that links a company’s RRI strategy to its context, and that helps to translate the RRI strategy into activities that result in RRI outcomes. We also propose a process for developing company-specific RRI key performance indicators (KPIs) that can support companies to measure RRI outcomes.

There is now almost a decade of experience with RRI (Responsible Research and Innovation), including a growing emphasis on RRI in industry. Based on our experiences in the EU-funded project PRISMA, we find that the companies we engaged could be motivated to do RRI, but often only after we first shifted initial assumptions and strategies. Accordingly, we formulate six lessons we learned in the expectation that they will be relevant both for RRI in industry as well as for the future of RRI more broadly. These lessons are: (1) Strategize for stakeholder engagement; (2) Broaden current assessments; (3) Place values center stage; (4) Experiment for responsiveness; (5) Monitor RRI progress; and (6) Aim for shared value.

In this paper, we introduce the Societal Readiness (SR) Thinking Tool to aid researchers and innovators in developing research projects with greater responsiveness to societal values, needs, and expectations. The need for societally-focused approaches to research and innovation—complementary to Technology Readiness (TR) frameworks—is presented. Insights from responsible research and innovation (RRI) concepts and practice, organized across critical stages of project-life cycles are discussed with reference to the development of the SR Thinking Tool. The tool is designed to complement not only shortfalls in TR approaches, but also improve upon other efforts to integrate RRI, sustainability, and design thinking in research and innovation cycles. Operationalization and early-stage user tests of the Tool are reported, along with discussion of potential future iterations and applications.

This chapter provides a political and philosophical analysis of the values at stake in ensuring cybersecurity for critical infrastructures. It presents a review of the boundaries of cybersecurity in national security, with a focus on the ethics of surveillance for protecting critical infrastructures and the use of AI. A bibliographic analysis of the literature is applied until 2016 to identify and discuss the cybersecurity value conflicts and ethical issues in national security. This is integrated with an analysis of the most recent literature on cyber-threats to national infrastructure and the role of AI. This chapter demonstrates that the increased connectedness of digital and non-digital infrastructure enhances the trade-offs between values identified in the literature of the past years, and supports this thesis with the analysis of four case studies.

Cybersecurity is of capital importance in a world where economic and social processes increasingly rely on digital technology. Although the primary ethical motivation of cybersecurity is prevention of informational or physical harm, its enforcement can also entail conflicts with other moral values. This contribution provides an outline of value conflicts in cybersecurity based on a quantitative literature analysis and qualitative case studies. The aim is to demonstrate that the security-privacy-dichotomy—that still seems to dominate the ethics discourse based on our bibliometric analysis—is insufficient when discussing the ethical challenges of cybersecurity. Furthermore, we want to sketch how the notion of contextual integrity could help to better understand and mitigate such value conflicts.