Autonomous cars and responsible innovation

Abstract

Digitalization, a dominant megatrend in today’s global world, offers numerous intriguing technological possibilities. Out of these novelties, self-driving cars have rapidly come to be a primary focus; the literature categorizes them as a radical innovation due to the possibility that the mass adoption of self-driving cars would not only radically change everyday life for members of industrialized societies, but calls into question the infrastructural, legal, and social ordering of towns and numerous aspects of transportation in the societies that adopt them. Meanwhile, the results of several international surveys with large samples show that public opinion of self-driving cars is ambivalent, indicating parallel signals of enthusiasm and concern. The aim of this paper is to develop key components of a general strategy for addressing the societal challenges associated with self-driving cars as identified in international surveys and relevant literature and using the framework of responsible innovation.

Unlocking the potential: UTAUT2 framework for embracing self-driving tractors in modern agriculture

“…These vehicles are fully automated and can maintain control in all conditions, meaning they can drive without human intervention. This type of innovation has two things to mention at the moment, one is that it is predicted to fundamentally change the future of humanity, and the other is that it is much further ahead than the public would think, as it is currently undergoing final phase testing in 76 areas (Ké zy et al, 2018). It is also a major epochal change in scientific thinking and analysis, because it will actually require a new and more complex way of thinking and analysis in the future.…”

Assessing self-driving vehicle awareness in Hungarian rejecting groups

“…The technological development of self-driving vehicles is much more advanced than most of society would assume (Lukovics et al, 2020). The market penetration of self-driving vehicles highly depends on consumers, their preferences, and fears.…”

Responsible innovation; responsible data. A case study in autonomous driving

“…In its RI planning for the project the RoAD team drew on the AREA (Anticipation-Reflection-Engagement-Action/response) framework (Owen et al, 2013;, while also being cognisant of other RI tools such as the Six Pillars seen in many EU projects (de Saille, 2015), which include equality and diversity, as well as open science. Literature was sought out on RI in autonomous vehicle development (Lukovics, Zuti, Fisher & Kézy, 2021;Stilgoe, 2018), but these works are primarily theoretical in naturehence we suggest that our short case study on one of the aspects of AVs represents some of the earliest empirical work on the use of RI in AV development.…”