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Punishing Autonomous Machines The Example Of Autonomous Cars


Punishing Autonomous Machines The Example Of Autonomous Cars
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Punishing Autonomous Machines The Example Of Autonomous Cars


Punishing Autonomous Machines The Example Of Autonomous Cars
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Author : Alexandra Bünck
language : en
Publisher: GRIN Verlag
Release Date : 2017-09-08

Punishing Autonomous Machines The Example Of Autonomous Cars written by Alexandra Bünck and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-08 with Philosophy categories.


Essay from the year 2015 in the subject Philosophy - Miscellaneous, grade: 1,7, University of Duisburg-Essen, language: English, abstract: According to the statistics of the Federal Office, 86 percent of road-traffic accidents are caused by mistakes made by the car driver. The creation of autonomous cars could solve this problem! This essay pays attention to one moral aspect of autonomous machines, namely punishment. In this context, we will talk about the punishment of autonomous machines and this will be shown using the example of autonomous cars. The aim of this essay is to demonstrate how autonomous machines could be punished, or if it is really possible for them to be punished. The basis for these ideas is taken from the philosopher and business information technologist Oliver Bendel, the dissertation "Automaten als Träger von Rechten. Plädoyer für eine Gesetzesänderung" by Andreas Matthias, the essays "Killer robots" from Robert Sparrow and "Why you Can’t Make a Computer that Feels Pain" by Daniel Denett as well as the anthology about autonomous machines by Thomas Christaller and Josef Wehner.



Law And Autonomous Machines


Law And Autonomous Machines
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Author : Mark Chinen
language : en
Publisher: Edward Elgar Publishing
Release Date : 2019

Law And Autonomous Machines written by Mark Chinen and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Law categories.


This book sets out a possible trajectory for the co-development of legal responsibility on the one hand and artificial intelligence and the machines and systems driven by it on the other. As autonomous technologies become more sophisticated it will be harder to attribute harms caused by them to the humans who design or work with them. This will put pressure on legal responsibility and autonomous technologies to co-evolve. Mark Chinen illustrates how these factors strengthen incentives to develop even more advanced systems, which in turn strengthens nascent calls to grant legal and moral status to autonomous machines. This book is a valuable resource for scholars and practitioners of legal doctrine, ethics, and autonomous technologies.



Autonomous Vehicles And The Law


Autonomous Vehicles And The Law
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Author : Hannah YeeFen Lim
language : en
Publisher: Edward Elgar Publishing
Release Date :

Autonomous Vehicles And The Law written by Hannah YeeFen Lim and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.


Autonomous vehicles have attracted a great deal of attention in the media, however there are some inconsistencies between the perception of autonomous vehicles’ capabilities and their actual functions. This book provides an accessible explanation of how autonomous vehicles function, suggesting appropriate regulatory responses to the existing and emerging technology.



Artificial Intelligence For Autonomous Vehicles


Artificial Intelligence For Autonomous Vehicles
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Author : Sathiyaraj Rajendran
language : en
Publisher: John Wiley & Sons
Release Date : 2024-02-27

Artificial Intelligence For Autonomous Vehicles written by Sathiyaraj Rajendran and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-27 with Computers categories.


With the advent of advanced technologies in AI, driverless vehicles have elevated curiosity among various sectors of society. The automotive industry is in a technological boom with autonomous vehicle concepts. Autonomous driving is one of the crucial application areas of Artificial Intelligence (AI). Autonomous vehicles are armed with sensors, radars, and cameras. This made driverless technology possible in many parts of the world. In short, our traditional vehicle driving may swing to driverless technology. Many researchers are trying to come out with novel AI algorithms that are capable of handling driverless technology. The current existing algorithms are not able to support and elevate the concept of autonomous vehicles. This addresses the necessity of novel methods and tools focused to design and develop frameworks for autonomous vehicles. There is a great demand for energy-efficient solutions for managing the data collected with the help of sensors. These operations are exclusively focused on non-traditional programming approaches and depend on machine learning techniques, which are part of AI. There are multiple issues that AI needs to resolve for us to achieve a reliable and safe driverless technology. The purpose of this book is to find effective solutions to make autonomous vehicles a reality, presenting their challenges and endeavors. The major contribution of this book is to provide a bundle of AI solutions for driverless technology that can offer a safe, clean, and more convenient riskless mode of transportation.



Autonomous Vehicles


Autonomous Vehicles
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2021-02-03

Autonomous Vehicles written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-03 with Computers categories.


Elon Musk thought that his company Tesla will have fully autonomous cars ready by the end of 2020. "There are no fundamental challenges left," he said recently. "There are a number of minor issues. And then there's a struggle to solve all these little problems and bring the whole thing together." Although the technology to allow a car to complete a journey without human interference (what the industry calls "level 5 autonomy") can move quickly, the development of a vehicle that can do so safely and legally is another matter. The novelty of autonomous technology is intended to turn our legal and social ties into daily transport. Importantly, without a driver behind the wheel, autonomous vehicles raise concerns about the liability and responsibility for the conduct of the lane. Therefore, this book is structured to answer many questions about autonomous vehicles and make you not only understand all the aspects of this emerging technology, but master the discussions and debates about the following topics: Chapter One: The rise of autonomous vehicles Autonomous vehicles become reality History of Autonomous vehicles Road Items Weights Society of Automotive Engineers (SAE International) Chapter Two: Tesla Autopilot AutoPilot AI Advanced Sensor Coverage Wide, Main and Narrow Forward Cameras Wide Main Narrow Forward Looking Side Cameras Rearward Looking Side Cameras Rear View Camera Radar Ultrasonic Sensors Processing Power Increased 40x Tesla Vision Autopilot Navigate on Autopilot Autosteer+ Smart Summon Full Self-Driving Capability From Home To your Destination Chapter Three: A level-by-level explainer of autonomous vehicles Classification System For The Development Of Innovations The J3016 Guidelines Six SAE level Criticism of SAE classification Level 0: No automation Level 1: Driver assistance Level 2: Partial automation Level 3: Conditional automation Level 4: High automation Level 5: Full automation Chapter Four: Main Connectivity Specifications Of Autonomous Vehicles Vehicle-To-Everything Architectures must be both redundant and real-time. The demand for high-speed data would increase only Security and other applications Include external connectivity Autonomous driving efficiency and reliability are non-negotiable More and more electrified cars would need a new approach to safety Next generation Car Design Would Need Miniaturized Solutions Co-creation of the future of mobility Chapter Five: Building Passenger Trust Is Key Technology for self-driving cars is accelerating fast, but our driverless future isn't going anywhere if people don't trust it. rules of the road implicit laws are more challenging The math-based AV safety model What is Sensitive Protection Responsibility? RSS is compatible with other AV systems How are AVs safely sharing the road with human drivers? 01 Safe distance: Don't hit the car in front of you 02 Cutting in: Don't cut it in recklessly 03 Right of Way: Right of way is given, not taken 04 Limited Visibility: Be cautious in areas with limited visibility 05 Avoid Crashes: If you can avoid a crash without causing another one, you must Moving past the miles-driven Improving road safety with RSS today RSS to gain support Baidu Valeo China ITS Alliance RAND Corp. The Arizona Institute for Automated Mobility Joint Research Institutes Chapter Six: The reasons Autonomous vehicles still aren’t on our roads The Gap Between the Invention and The Application Sensors Machine Learning The Open Road Regulations Social Acceptability Chapter Seven: Legal frameworks and other national initiatives The United States European Union Membership United Arab Emirates Japan Australia Chapter Eight: Liability, ethics and human rights implications The novelty of autonomous vehicles The critical debate Autonomy Threats Chapter Nine: Leading opinions on an ethical rollout for autonomous vehicles The Three Laws of Robotics The Ethical Dilemmas of Autonomy The Worst-Case Scenario The Trolley Issue Chapter Ten: Social and economic implications Roads Safety Vehicles Ownership and Vehicles Insurance Jobs Chapter Eleven: Ongoing research and impediments to autonomous vehicle development Research and Development The Social Acceptance of Autonomous Vehicles Chapter Twelve: The Sensor Types Drive Autonomous Vehicles Multiple Redundant Sensor Systems Overview of the study SAE Levels Short DESCRIPTIONS No car manufacturer has reached level 3 or higher Which sensors are needed? Camera and LIDAR Systems Cameras Back and 360° cameras Front-Facing Camera Systems RADAR Sensor LiDAR Summary and insight



Product Development Within Artificial Intelligence Ethics And Legal Risk


Product Development Within Artificial Intelligence Ethics And Legal Risk
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Author : Thomas Winkle
language : en
Publisher: Springer Nature
Release Date : 2022

Product Development Within Artificial Intelligence Ethics And Legal Risk written by Thomas Winkle and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Artificial intelligence categories.


This open-access-book synthesizes a supportive developer checklist considering sustainable Team and agile Project Management in the challenge of Artificial Intelligence and limits of image recognition. The study bases on technical, ethical, and legal requirements with examples concerning autonomous vehicles. As the first of its kind, it analyzes all reported car accidents state wide (1.28 million) over a 10-year period. Integrating of highly sensitive international court rulings and growing consumer expectations make this book a helpful guide for product and team development from initial concept until market launch. The author Thomas Winkle (Prof. Dr.-Ing., MBA Communication & Leadership) is a multiple author in best-selling Springer books such as "Autonomous Driving: Technical, Legal and Social Aspects" or the "Handbook of Driver Assistance Systems". His work bases on three decades in sustainable team consulting as employee and researcher in the legal departments of three car manufacturers as well as a professor at IU International University and TU Munich. Thomas Winkle received the Volkswagen research award for his significant Human-Centered Design into the development of the Automatic Emergency Brake. He was responsible to prepare the ADAS Code of Practice. As consultant at international courts, he links Artificial Intelligence, Ethics, Sustainable Agile Management, Mindful Communication and Law using Autonomous Vehicles example definition requirements.



Learning To Drive


Learning To Drive
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Author : David Michael Stavens
language : en
Publisher: Stanford University
Release Date : 2011

Learning To Drive written by David Michael Stavens and has been published by Stanford University this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.


Every year, 1.2 million people die in automobile accidents and up to 50 million are injured. Many of these deaths are due to driver error and other preventable causes. Autonomous or highly aware cars have the potential to positively impact tens of millions of people. Building an autonomous car is not easy. Although the absolute number of traffic fatalities is tragically large, the failure rate of human driving is actually very small. A human driver makes a fatal mistake once in about 88 million miles. As a co-founding member of the Stanford Racing Team, we have built several relevant prototypes of autonomous cars. These include Stanley, the winner of the 2005 DARPA Grand Challenge and Junior, the car that took second place in the 2007 Urban Challenge. These prototypes demonstrate that autonomous vehicles can be successful in challenging environments. Nevertheless, reliable, cost-effective perception under uncertainty is a major challenge to the deployment of robotic cars in practice. This dissertation presents selected perception technologies for autonomous driving in the context of Stanford's autonomous cars. We consider speed selection in response to terrain conditions, smooth road finding, improved visual feature optimization, and cost effective car detection. Our work does not rely on manual engineering or even supervised machine learning. Rather, the car learns on its own, training itself without human teaching or labeling. We show this "self-supervised" learning often meets or exceeds traditional methods. Furthermore, we feel self-supervised learning is the only approach with the potential to provide the very low failure rates necessary to improve on human driving performance.



Autonomous Vehicle Ethics


Autonomous Vehicle Ethics
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Author : Ryan Jenkins
language : en
Publisher: Oxford University Press
Release Date : 2022

Autonomous Vehicle Ethics written by Ryan Jenkins and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Automated vehicles categories.


"A runaway trolley is speeding down a track" So begins what is perhaps the most fecund thought experiment of the past several decades since its invention by Philippa Foot. Since then, moral philosophers have applied the "trolley problem" as a thought experiment to study many different ethical conflicts - and chief among them is the programming of autonomous vehicles. Nowadays, however, very few philosophers accept that the trolley problem is a perfect analogy for driverless cars or that the situations autonomous vehicles face will resemble the forced choice of the unlucky bystander in the original thought experiment. This book represents a substantial and purposeful effort to move the academic discussion beyond the trolley problem to the broader ethical, legal, and social implications that autonomous vehicles present. There are still urgent questions waiting to be addressed, for example: how AVs might interact with human drivers in mixed or "hybrid" traffic environments; how AVs might reshape our urban landscapes; what unique security or privacy concerns are raised by AVs as connected devices in the "Internet of Things"; how the benefits and burdens of this new technology, including mobility, traffic congestion, and pollution, will be distributed throughout society; and more. An attempt to map the landscape of these next-generation questions and to suggest preliminary answers, this volume draws on the disciplines of philosophy, sociology, economics, urban planning and transportation engineering, business ethics and more, and represents a global range of perspectives.



Robot Ethics 2 0


Robot Ethics 2 0
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Author : Patrick Lin
language : en
Publisher: Oxford University Press
Release Date : 2017-09-01

Robot Ethics 2 0 written by Patrick Lin and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-01 with Philosophy categories.


The robot population is rising on Earth and other planets. (Mars is inhabited entirely by robots.) As robots slip into more domains of human life--from the operating room to the bedroom--they take on our morally important tasks and decisions, as well as create new risks from psychological to physical. This makes it all the more urgent to study their ethical, legal, and policy impacts. To help the robotics industry and broader society, we need to not only press ahead on a wide range of issues, but also identify new ones emerging as quickly as the field is evolving. For instance, where military robots had received much attention in the past (and are still controversial today), this volume looks toward autonomous cars here as an important case study that cuts across diverse issues, from liability to psychology to trust and more. And because robotics feeds into and is fed by AI, the Internet of Things, and other cognate fields, robot ethics must also reach into those domains, too. Expanding these discussions also means listening to new voices; robot ethics is no longer the concern of a handful of scholars. Experts from different academic disciplines and geographical areas are now playing vital roles in shaping ethical, legal, and policy discussions worldwide. So, for a more complete study, the editors of this volume look beyond the usual suspects for the latest thinking. Many of the views as represented in this cutting-edge volume are provocative--but also what we need to push forward in unfamiliar territory.



The Car That Knew Too Much


The Car That Knew Too Much
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Author : Jean-Francois Bonnefon
language : en
Publisher: MIT Press
Release Date : 2021-10-12

The Car That Knew Too Much written by Jean-Francois Bonnefon and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-12 with Computers categories.


The inside story of the groundbreaking experiment that captured what people think about the life-and-death dilemmas posed by driverless cars. Human drivers don't find themselves facing such moral dilemmas as "should I sacrifice myself by driving off a cliff if that could save the life of a little girl on the road?" Human brains aren't fast enough to make that kind of calculation; the car is over the cliff in a nanosecond. A self-driving car, on the other hand, can compute fast enough to make such a decision--to do whatever humans have programmed it to do. But what should that be? This book investigates how people want driverless cars to decide matters of life and death. In The Car That Knew Too Much, psychologist Jean-François Bonnefon reports on a groundbreaking experiment that captured what people think cars should do in situations where not everyone can be saved. Sacrifice the passengers for pedestrians? Save children rather than adults? Kill one person so many can live? Bonnefon and his collaborators Iyad Rahwan and Azim Shariff designed the largest experiment in moral psychology ever: the Moral Machine, an interactive website that has allowed people --eventually, millions of them, from 233 countries and territories--to make choices within detailed accident scenarios. Bonnefon discusses the responses (reporting, among other things, that babies, children, and pregnant women were most likely to be saved), the media frenzy over news of the experiment, and scholarly responses to it. Boosters for driverless cars argue that they will be in fewer accidents than human-driven cars. It's up to humans to decide how many fatal accidents we will allow these cars to have.