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In this paper, we investigate how data about public preferences may be used to inform policy around the use of controversial novel technologies, using public preferences about autonomous vehicles (AVs) as a case study. We first summarize the recent 'Moral Machine' study, which generated preference data from millions of people regarding how they think AVs should respond to emergency situations. We argue that while such preferences cannot be used to directly inform policy, they should not be disregarded. We defend an approach that we call 'Collective Reflective Equilibrium in Practice' (CREP). In CREP, data on public attitudes function as an input into a deliberative process that looks for coherence between attitudes, behaviours and competing ethical principles. We argue that in cases of reasonable moral disagreement, data on public attitudes should play a much greater role in shaping policies than in areas of ethical consensus. We apply CREP to some of the global preferences about AVs uncovered by the Moral Machines study. We intend this discussion both as a substantive contribution to the debate about the programming of ethical AVs, and as an illustration of how CREP works. We argue that CREP provides a principled way of using some public preferences as an input for policy, while justifiably disregarding others., (© 2021 The Authors. Bioethics published by John Wiley & Sons Ltd.)

With the rise of self-driving technology research, the establishment of a scientific and perfect legal restraint and supervision system for self-driving vehicles has been gradually paid attention to. The determination of tort liability subject of traffic accidents of self-driving cars is different from that of ordinary motor vehicle traffic accident tort, which challenges the application of traditional fault liability and product liability. The tort issue of self-driving cars should be discussed by distinguishing two kinds of situations: assisted driving cars and highly automated driving, and typological analysis of each situation is needed. When the car is in the assisted driving mode, the accident occurs due to the quality defect or product damage of the self-driving car, and there is no other fault cause; then, the producer and seller of the car should bear the product liability according to the no-fault principle; if the driver has a subjective fault and fails to exercise a high degree of care; the owner and user of the car should bear the fault liability. This paper analyzes the study of the impact of autonomous driving public on public psychological health, summarizes the key factors affecting the public acceptance of autonomous driving, and dissects its impact on public psychological acceptance. In order to fully study the responsibility determination of autonomous driving system accidents and their impact on public psychological health, this paper proposes an autonomous driving risk prediction model based on artificial intelligence technology, combined with a complex intelligent traffic environment vehicle autonomous driving risk prediction method, to complete the risk target detection. The experimental results in the relevant dataset demonstrate the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

For much of the 20th century, the most consequential technological breakthroughs were sponsored by government spending and were harnessed for military advantage. Military influence meant that the norms surrounding technologies were mainly determined by departments of defense, national governments, and international organizations. Today, technology developers focus more attention on the hundreds of millions of technology users around the world than on the smaller numbers of users within governments and militaries, leaving governments little scope for influence over technology’s development and use. Well-known technologies that challenge militaries’ traditional dominance and threaten their control over technology’s uses include autonomous vehicles, cyber technologies, and artificial intelligence. As future generations of consequential technologies mature, perhaps including quantum computing and virtual reality, the challenges faced by governments and militaries will only increase. Because governments and international institutions lack methods to successfully grapple with new or not-yet-developed technologies, societies as a whole must be vigilant to the threats that such technologies pose – and must address the stark imbalance between the resources dedicated to developing new technologies and the resources dedicated to governing them. [ABSTRACT FROM AUTHOR]

Objective: Insurance Industry is best positioned to play a pivotal role in creating a more sustainable tomorrow as it stands at the fulcrum of transition to Net zero carbon, resilient and sustainable global economy, both in terms of the risks it covers and the investments it makes. A strong Leadership backed by Technology platforms and specialized Insurance policies are required to achieve SDG outcomes, addressing ESG risks. Methodology: This article utilizes a variety of research sources. Key component of the Research analysis includes secondary research and where applicable, all secondary research sources are appropriately cited within this report. These research sources, combined with industry data and technological expertise, are synthesized into suggesting Technological platforms and New Insurance Policy instruments. [ABSTRACT FROM AUTHOR]

We are on the brink of a totally new era, the Fourth Industrial Revolution, one that builds and extends the impact of digitization in unanticipated ways. An essential piece of [...]

Despite concerns about a slowdown in technological innovation--as expressed recently by the entrepreneur Peter Thiel, the economist Tyler Cowen, and others--humankind is poised to make transformational scientific and technological strides [...]

In the past several years, an array of technologists, economists, and technology pundits have predicted that advances in artificial intelligence (AI) are poised to revolutionize our lives, changing how we [...]

The massive CES consumer electronics trade show, held in Las Vegas each January, always provides a revealing glimpse into future technology trends. Most observers focus on the gee-whiz gadgets, mind-blowing [...]

While artificial intelligence (AI) seemed until recently to be science fiction, countless corporations across the globe are now researching ways to implement this technology in everyday life. AI works by [...]

The development of autonomous vehicles has significantly accelerated in recent years, partially because it is becoming technically more feasible but also because many significant benefits of this technology could be offered to society. This article is based on a qualitative multiple case study focusing on the challenges brought forth by human factors engineering in the coming transition to autonomous vehicle technologies, such as public perceptions, market acceptance, and safety issues. The units of analysis were subject matter experts' insights on the topic of study. The results of this article focus on improving the image that people have of self-driving cars and on increasing awareness of the benefits and limitations of autonomous vehicles. In conclusion, manufacturers are encouraged to work with the government in order to increase people's trust regarding safety. To reach a high level of acceptance, it can be assumed that further research is required in order to learn more about concerns and to build solutions that take into account the needs and worries of the end-user customer. [ABSTRACT FROM AUTHOR]

Employing recent research results covering automated robotic and network connectivity systems for self-driving vehicle technology, and building my argument by drawing on data collected from Abraham et al. (2017), ANSYS, Atomik Research, Capgemini Research Institute, Charles Koch Institute, CivicScience, eMarketer, Ipsos, McKinsey, Schoettle & Sivak (2014), and Statista, I performed analyses and made estimates regarding most popular activities to pursue with time saved in an autonomous car (%), attitudes toward the safety of self-driving cars (%), and the awareness of autonomous vehicles (%). Structural equation modeling was used to analyze the collected data. [ABSTRACT FROM AUTHOR]

The article focuses on the ethics of algorithmic intelligence. Topics include the connection between artificial intelligence (AI) and ethics needs to be conceived doubly as human ethics in the use of technology and as the ethics of technology in how it deals with humans, and in 2016, a German ethics commission on AI and self-driving cars, which was convened by the country's transportation minister and included the constitutional judge Udo Di Fabio, objected to the fact that drivers were forced by AI to abide by traffic laws, so that autonomous cars existed to the detriment of autonomous everyday human behavior.

Driverless cars promise to be a seductive, inevitable technology that will transform our cities in a multitude of ways. But, asks author and journalist Tim Maughan, are we really prepared for what lies ahead, or have we already fallen asleep at the wheel? [ABSTRACT FROM AUTHOR]