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.

The development of novel neurotechnologies, such as brain-computer interface (BCI) and deep-brain stimulation (DBS), are very promising in improving the welfare and life prospects many people. These include life-changing therapies for medical conditions and enhancements of cognitive, emotional, and moral capacities. Yet there are also numerous moral risks and uncertainties involved in developing novel neurotechnologies. For this reason, the progress of novel neurotechnology research requires that diverse publics place trust in researchers to develop neural interfaces in ways that are overall (...) beneficial to society and responsive to ethical values and concerns. In this article, we argue that researchers and research institutions have a moral responsibility to foster and demonstrate trustworthiness with respect to broader publics whose lives will be affected by their research. Using Annette Baier’s conceptual analysis of trust, which takes competence and good will to be its central components, we propose that practices of ethical reflexivity could play a valuable role in fostering the trustworthiness of individual researchers and research institutions through building and exhibiting their moral competence and good will. By ethical reflexivity, we mean the reflective and discursive activity of articulating, analyzing, and assessing the assumptions and values that might be underlying their ethical actions and projects. Here, we share an ethics dialog tool—called the Scientific Perspectives and Ethics Commitments Survey (or SPECS)—developed by the University of Washington’s Center of Neurotechnology (CNT) Neuroethics Thrust. Ultimately, the aim is to show the promise of ethical reflexivity practices, like SPECS, as a method of enhancing trustworthiness in researchers and their institutions that seek to develop novel neurotechnologies for the overall benefit of society. (shrink)

Responsible Research and Innovation (RRI) is described as a new way of doing science that brings science closer to society. Based on a qualitatively oriented case study, this article supports previous research indicating that researchers face a variety of ethical problems and dilemmas when implementing RRI for the first time. These include difficulties with anticipating and controlling future impacts, an asymmetry of power between project partners and an elusive understanding of the RRI concept. The researchers’ challenges were rooted in conventional (...) research ethics and could be boiled down to one core dilemma: If RRI had been applied from the very beginning of the project period, the chance of realising proof of concept within the scheduled time may decrease. The researchers’ solution to this dilemma was to prioritize proof of concept and postpone RRI activities to later stages of the project. If RRI is expected to live up to its ambition of representing a new way of doing science, more effort is needed at the political level to facilitate change. (shrink)

Aicardi et al. look to neuroscience to mitigate the limitations of current robotics technology. They propose that robotics technology guided by neuroscience has the capacity to create intelligent robots that function with awareness and capacity for abstraction and reasoning. As neurorobotics extends the capability of robotics technology, it introduces new social and ethical concerns, in particular co-opting civilian applications for military use, conflicts between industry and the academy, and data security. However, here we argue that empirical evidence has shown that (...) human cognition is faulty; therefore there is not a clear motivation to build intelligent robots on a human model; representation of meaning in the brain is not well-understood; therefore neuro-robotics is limited; and to the extent that intelligent robots become a reality, the ethics of robot rights will be of central concern. (shrink)