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The social dilemma of autonomous vehicles

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TLDR
Even though participants approve of autonomous vehicles that might sacrifice passengers to save others, respondents would prefer not to ride in such vehicles, and regulating for utilitarian algorithms may paradoxically increase casualties by postponing the adoption of a safer technology.
Abstract
Autonomous vehicles (AVs) should reduce traffic accidents, but they will sometimes have to choose between two evils, such as running over pedestrians or sacrificing themselves and their passenger to save the pedestrians. Defining the algorithms that will help AVs make these moral decisions is a formidable challenge. We found that participants in six Amazon Mechanical Turk studies approved of utilitarian AVs (that is, AVs that sacrifice their passengers for the greater good) and would like others to buy them, but they would themselves prefer to ride in AVs that protect their passengers at all costs. The study participants disapprove of enforcing utilitarian regulations for AVs and would be less willing to buy such an AV. Accordingly, regulating for utilitarian algorithms may paradoxically increase casualties by postponing the adoption of a safer technology.

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The Righteous Mind: Why Good People Are Divided by Politics and Religion

TL;DR: Haidt as mentioned in this paper argues that the visceral reaction to competing ideologies is a subconscious, rather than leaned, reaction that evolved over human evolution to innate senses of suffering, fairness, cheating and disease, and that moral foundations facilitated intra-group cooperation which in turn conferred survival advantages over other groups.
Journal ArticleDOI

The Moral Machine experiment

TL;DR: The Moral Machine, an online experimental platform designed to explore the moral dilemmas faced by autonomous vehicles, gathered 40 million decisions in ten languages from millions of people in 233 countries and territories to shed light on similarities and variations in ethical preferences among different populations.
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A Survey of Autonomous Driving: Common Practices and Emerging Technologies

TL;DR: The technical aspect of automated driving is surveyed, with an overview of available datasets and tools for ADS development and many state-of-the-art algorithms implemented and compared on their own platform in a real-world driving setting.
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The role of artificial intelligence in achieving the Sustainable Development Goals

TL;DR: In this paper, the authors assess the impact of artificial intelligence on the achievement of the Sustainable Development Goals (SDGs) by using Artificial Intelligence (AI) and its progressively wider impact on many sectors.
References
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Journal ArticleDOI

The Struggle to Govern the Commons

TL;DR: Promising strategies for addressing critical problems of the environment include dialogue among interested parties, officials, and scientists; complex, redundant, and layered institutions; a mix of institutional types; and designs that facilitate experimentation, learning, and change.
Book

The Righteous Mind: Why Good People Are Divided by Politics and Religion

TL;DR: The Righteous Mind as discussed by the authors explores how morality evolved to enable us to form communities, and how moral values are not just about justice and equality - for some people authority, sanctity or loyalty matter more.
Journal Article

The Righteous Mind: Why Good People Are Divided by Politics and Religion

TL;DR: Haidt as mentioned in this paper argues that the visceral reaction to competing ideologies is a subconscious, rather than leaned, reaction that evolved over human evolution to innate senses of suffering, fairness, cheating and disease, and that moral foundations facilitated intra-group cooperation which in turn conferred survival advantages over other groups.
Journal ArticleDOI

The Impact of Cooperative Adaptive Cruise Control on Traffic-Flow Characteristics

TL;DR: The authors study the impacts of CACC for a highway-merging scenario from four to three lanes and show an improvement of traffic-flow stability and a slight increase in Trafficflow efficiency compared with the merging scenario without equipped vehicles.
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