To put frameworks of Responsible Innovation and Responsible Research and Innovation (R(R)I) into practice, engagement methods have been developed to study and enhance technoscientific experts’ capacities to reflexively address value considerations in their work. These methods commonly rely on engagement between technoscientific experts and social scholars, which makes them vulnerable to structural barriers to interdisciplinary collaboration. To circumvent these barriers, we adapt Socio-Technical Integration Research (STIR) for broader use within technoscientific communities. We call this adaptation: reflexive practitioner dialogues. While the (...) primary aim of this article is to introduce and explain the methodological adaptation, we also analyze results from a pilot study with participants who are involved in research on contemplative practices such as mindfulness meditation. The analysis is guided by research questions that sought to assess whether and under what conditions the practitioner dialogues support reflexive and practical engagement with value considerations in participants’ work. The results indicate that reflexive practitioner dialogues can stimulate reflexive awareness of value conflicts and help re-direct decision-making responsively. We characterize the conditions facilitating such responsiveness as “value exnovators,” highlighting the oft-unacknowledged interpersonal relational practices that support collaborative engagement with value considerations. We suggest that “exnovation”—exposing the strengths of given practices for their improvement—can support R(R)I practices by directing analytical attention to their micro-level carriers. (shrink)

We motivate the desire for self-driving and explain its potential and limitations, and explore the need for—and potential implementation of—morals, ethics, and other value systems as complementary “capabilities” to the Deep Technologies behind self-driving. We consider how the incorporation of such systems may drive or slow adoption of high automation within vehicles. First, we explore the role for morals, ethics, and other value systems in self-driving through a representative hypothetical dilemma faced by a self-driving car. Through the lens of engineering, (...) we explain in simple terms common moral and ethical frameworks including utilitarianism, deontology, and virtue ethics before characterizing their relationship to the fundamental algorithms enabling self-driving. The concepts of behavior cloning, state-based modeling, and reinforcement learning are introduced, with some algorithms being more suitable for the implementation of value systems than others. We touch upon the contemporary cross-disciplinary landscape of morals and ethics in self-driving systems from a joint philosophical and technical perspective, and close with considerations for practitioners and the public, particularly as individuals may not appreciate the nuance and complexity of using imperfect information to navigate diverse scenarios and tough-to-quantify value systems, while “typical” software development reduces complex problems to black and white decision-making. (shrink)

The introduction of self-driving vehicles gives rise to a large number of ethical issues that go beyond the common, extremely narrow, focus on improbable dilemma-like scenarios. This article provides a broad overview of realistic ethical issues related to self-driving vehicles. Some of the major topics covered are as follows: Strong opinions for and against driverless cars may give rise to severe social and political conflicts. A low tolerance for accidents caused by driverless vehicles may delay the introduction of driverless systems (...) that would substantially reduce the risks. Trade-offs will arise between safety and other requirement on the road traffic system. Over-reliance on the swift collision-avoiding reactions of self-driving vehicles can induce people to take dangerous actions, such as stepping out in front of a car, relying on its fast braking. Children travelling alone can violate safety instructions such as the use of seatbelts. Digital information about routes and destinations can be used to convey commercial and political messages to car users. If fast passage can be bought, then socio-economic segregation of road traffic may result. Terrorists and other criminals can hack into a vehicle and make it crash. They can also use self-driving vehicles for instance to carry bombs to their designed places of detonation or to wreak havoc on a country’s road system. (shrink)