The EU promotes Responsible Research and Innovation in principle, but implementation leaves much to be desired

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.

In a lifelog, data from various sources are combined to form a record from which one can retrieve information about oneself and the environment in which one is situated. It could be considered similar to an automated biography. Lifelog technology is still at an early stage of development. However, the history of lifelogs so far shows a clear academic, corporate and governmental interest. Therefore, a thorough inquiry into the ethical aspects of lifelogs could prove beneficial to the responsible development of this field. This article maps the main ethically relevant challenges and opportunities associated with the further development of lifelog technologies as discussed in the scholarly literature. By identifying challenges and opportunities in the current debate, we were able to identify other challenges and opportunities left unmentioned. Some of these challenges are partly explained by a blind spot in the current debate. Whilst the current debate focuses mainly on lifelogs held by individuals, lifelogs held by governmental institutions and corporations pose idiosyncratic ethical concerns as well. We have provided a brief taxonomy of lifelog technology to show the variety in uses for lifelogs. In addition, we provided a general approach to alleviate the ethical challenges identified in the critical analysis.

Domestic violence remains a pressing complex social problem of people of any gender, age, socio-economic status, and ethno-cultural background, an issue that worsened worldwide during the COVID-19 pandemic. Digital, online, or artificial intelligence-based smart technological services, applications, and tools provide novel approaches in addressing domestic violence, including intimate partner violence. This systematic literature review analyses the ethical challenges and opportunities these (protective) digital and smart technologies provide to the stakeholders involved. Our results highlight that the public health and societal issue are the leading narratives of domestic violence, which is predominantly interpreted as gender-based violence. The review highlights an emerging trend of the role of machine learning- and artificial intelligence-based approaches in identifying and preventing domestic violence. However, we argue that little recommendation is available to professionals about how to use these approaches in a responsible way, and that the smartness of high-tech technologies is often challenged by basic-level technologies from perpetrators, creating an imbalance that also limits an impactful development of a comprehensive socio-technical regime that serves the safety and resilience of families in their communal setting.