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Risks of self - driving cars
Self driving car thesis
Self driving car thesis
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In my essay, I’m planning on writing about self-driving cars. The moral issue I want to focus on is the idea of artificial intelligence replacing human drivers. This identifies as a moral issue because we place our safety in the hands of the artificial intelligence that supposedly reduce human error. This issue is important to an engineer considering the group that is implementing this AI to help keep drivers safe and the possible risks they will face of the consequences if things take a wrong turn. In the public eyes, there would be some criticizing self-driving cars as unsafe and there will be those who are willing to try them. The important thing to note, is how great is the decision making of an AI? Will it make the proper decision to swerve
Have you ever feared that your loved one or even someone very close to you will be involved in a fatal car accident every time they left the house? Drunk driving is a factor in nearly one-third of all fatal accidents. Even if you aren’t the one driving, you are still at risk any moment to get involved in an accident that could’ve been prevented. By legalizing fully self-driving cars, we won’t have to fear the pain of losing a loved one. We could have a quick fix to all of this madness easily. The number of traffic accidents are soaring at 1.3 million deaths a year. Drunk Driving is still one of the number one causes of vehicle deaths; therefore, the government should allow self-driving cars to become legal to combat the issue. If we don’t act now to combat this issue we will have to deal with the consequences it will bring.
There are a huge number of details that need to be worked out. My first thought is to go with the utilitarian approach and minimize the loss of life and save the greatest number of people, but upon farther reflection I started to see the problems with it. The utilitarian approach is too simplistic. It raised all kinds of questions such as will the computer make any decisions as to fault when it makes the decision on what to do. For example, if I am in the car with my young child, and three eighty-year-old drunks wander out in front of my car because they are drunk by their own choice, is the car going to choose them over me and my child because there are three of them? I would not want the computer to make that decision for me because frankly I probably would not make that decision. That kind of computer decision would probably curtail many people including me from buying a self-driving car. It is the same paradox that MIT Review refers to when it says, “People are in favor of cars that sacrifice the occupant to save other lives—as long as they don’t have to drive one themselves” (“Why
Self-driving cars are now hitting a few roadways in America, and are showing people just a small glimpse into what could be the future of automobiles. Although Google’s self-driving cars are getting a lot of attention now, the idea of a self-driving car has been around for quite a while actually. These cars have been tested to their limits, but the American people have yet to adopt the technology into their everyday lives. A brief description of their history, how they work, and finally answer the question, will self-driving cars ever be adopted widely by the American public?
New types of technology are being introduced all of the time. One of the most recent pieces of technology is the self driving car, but it has a flaw. The technology in these cars can be dangerous.When companies began the testing stages the technology began to glitch and caused many problems on the road.If the technology glitches when on a busy street it could cause crashes. Driverless cars should not be allowed on the road until all or most of these problems are fixed.
Companies like Google, Tesla and Nissan, among others, have announced over the past few years that their companies are trying to develop self-driving or autonomous cars [Ref. 1 and 2]. Self-driving cars can provide many benefits to the average consumer. Studies have shown that because computers can react and process information many times faster than a human being, crashes on streets and roads can be decreased with quick and consistent evasion maneuvers by the autonomous car. They can also help maximize fuel economy by calculating the most direct and fastest routes. When the driving of an autonomous car demonstrates that the computer can safely and reliably transport the passengers to their destination, this frees up the passengers to do other things that they would not normally be able to do if they were driving the car manually. For this reason, self-driving cars can help maximize productivity of their passengers.
The term autonomous refers to the capability of acting independently, or having the freedom to do so. A self-driving car is an autonomous car, which has the ability to sense its environment and navigating without any human operations. These types of cars are built to make safe and smart decisions on the road. In the past years, automobile companies have begun to introduce advanced driver assistance systems that are capable of parking, switching lanes, and braking in case of an emergency on their own, without the driver’s assistance. Automated vehicles are capable of maneuvering through street traffic, as well as other natural and man-made obstacles along the way. Therefore, this technology might completely change the methods of transportation.
Fur trade who built and lived at Fort Buenaventura in what is now Ogden, Utah. Goodyear was born in Hamden, Connecticut on February 24, 1817, and became an orphan when he was four. After serving a majority of his Miles Goodyear was a mountain man during the last few years of the youth as a “Bound Boy,” or a personal servant, he was determined to travel west to find fortune. In many parties west the first one was in 1836, when he was nineteen, he joined the Whitman-Spaulding missionary party traveling west on the Oregon Trail from Independence, Missouri. Goodyear was described by his fellow travelers as “thin and spare,” with “light flaxen hair, light blue eyes.” As time passed, Goodyear’s hair turned red, (probably because how much time he
...ailable provide much more protection than harm to humans. Automotive makers should continue to offer safe features and advance the possibilities of a collision-free future as much as possible. Attention must also be turned to the potential harm new features could cause. Safety features should be a precaution, or safety net, to true accidents that happen. They should not continue to replace bad driving habits that are abundant in our country. By allowing computer technology to provide an instant fix to human error, the error itself is never corrected. When involving something as deadly as vehicle accidents, fixing the error is just as, if not more, critical as providing a safety net. The ninth commandment: thou shalt think about the social consequences of the program you are writing. How far will vehicle safety go until computers are driving the car for us?
Ethical issues are, among those, the most notable ones. In “Why Self-Driving Cars”(2015), it arises a typical ethics dilemma when a driverless car can be programmed to either save the passengers by endangering the innocent nearby or sacrifice its owner to avoid crashing into a crowd. Knight(2015) cites Chris Gerdes, a professor at Stanford University, who gave another scenario when a automated car can save a child’s life but injure the occupant in the car. The real problem is, as indicated by Deng(2015), a car cannot reason and come up with ethical choices and decisions itself like a human does as it must be preprogrammed to respond, which leads to mass concerns. In fact, programmers and designers shoulder the responsibility since those tough choices and decisions should all be made by them prior to any of those specific emergencies while the public tends tolerates those “pre-made errors” less(Knight, 2015; Lin, 2015). In addition to the subjective factors of SDCs developing, Bonnefon and co concludes a paradox in public opinions: people are disposed to be positive with the automated algorithm which is designed to minimize the casualty while being cautious about owning a vehicle with such algorithm which can possibly endanger themselves.(“Why Self-Driving Cars”,
Google has successfully built a self-driving car, yet “Google insists on developing a car without a steering wheel partly because it contends that people often don’t pay attention while their cars are operating autonomously” (Vock 37). Even though autonomous vehicles drive themselves, passengers are still able to manually control certain features of the car. For example, the person in the vehicle “can manually control the car to go a little bit faster than the car might on its own” (Swant). Google has put much consideration on how the car drives and handles interactions at traffic signals and signs. For example, “Google has begun programming its fleet of self-driving cars to inch forward at for way stops” to make sure there are no cars before proceeding (qtd. In “Making Robot Cars More Human 1). When there are multiple cars traveling together, “computer control enables cars to drive behind one another, so they travel as a virtual unit (Fisher 60). The autonomous Google Car has proven to successfully drive on the roads with other vehicles, but the technology that is in the car is more complicated than it
Human drivers have instincts that cannot be duplicated by technology, but by that same token human error is not a part of a self-driving car. In addition, we also need to take into consideration the transition period, when there are self-driving cars as well as human drivers on the road. Humans can notice the other drivers physically signal to go-ahead, when at a four way stop sign or; offer an opening for the merging lane. This is an example of what human interaction is capable of, that self-driving cars will need to calculate in order to
Automotive executives touting self-driving cars as a way to make commuting more productive or relaxing may want to consider another potential marketing pitch: safety (Hirschauge, 2016). The biggest reason why these cars will make a safer world is that accident rates will enormously drop. There is a lot of bad behavior a driver exhibit behind the wheel, and a computer is actually an ideal motorist. Since 81 percent of car crashes are the result of human error, computers would take a lot of danger out of the equation entirely. Also, some of the major causes of accidents are drivers who become ill at the time of driving. Some of the examples of this would be a seizure, heart attack, diabetic reactions, fainting, and high or low blood pressure. Autonomous cars will surely remedy these types of occurrences making us
But are they safe? On March 24 2017, an Uber autonomous car was involved with a 3 way crash in Tempe Arizona. With no serious injuries, everyone walked away with a few bruises and cuts from the Uber’s overturned car; but the accident had nothing to do with a “glitch” or a “compilation error” but instead a distracted driver trying to merge and side swiping the Autonomous suv. This and Google’s accident (One of their self driving lexus SUV’s cars drove slowly into a bus {2 mph kek}) have cast a shadow that AV (autonomous vehicles) are “unsafe” and “computers can't do what a human can” that's been dampening their reputation and slowing their development on making them safer, even though, statistically, there 70% more efficient than a human driver.
"Unlike a human who reacts instinctively in an emergency, an autonomous car will have to calculate and choose the appropriate response to each scenerio." "Self Driving Cars, by Samuel Gibbs" Basically this shows that cars response times in emergency are going to be alot slower than human reaction time, which could potentially risk the lives of the passengers or
In the world, there is a huge development of technology’s possibility to work without or instead of people. In factories, there are many machines working replaced with people. In public spaces, such as shopping malls, stations, and hotels, there are robots helping people to tell correct direction of where they want to go. Even at an airport, we can check-in with machine, not in person.