跟TED演讲学英文:What moral decisions should driverless cars make by Iyad Rahwan

What moral decisions should driverless cars make?

在这里插入图片描述

Link: https://www.ted.com/talks/iyad_rahwan_what_moral_decisions_should_driverless_cars_make

Speaker: Iyad Rahwan

Date: September 2016

文章目录

  • What moral decisions should driverless cars make?
    • Introduction
    • Vocabulary
    • Transcript
    • Summary
    • 后记

Introduction

Should your driverless car kill you if it means saving five pedestrians? In this primer on the social dilemmas of driverless cars, Iyad Rahwan explores how the technology will challenge our morality and explains his work collecting data from real people on the ethical trade-offs we’re willing (and not willing) to make.

Vocabulary

swerve: 美 [swɜːrv] 突然地改变方向

bystander: 旁观者

but the car may swerve, hitting one bystander, 但是汽车可能会突然转向,撞到一个旁观者

crash into:撞上,撞到xxx上

a bunch of:一群

it will crash into a bunch of pedestrians crossing the street它会撞上一群过马路的行人

the trolley problem:电车难题

The trolley problem is a classic ethical dilemma in philosophy and ethics, often used to explore moral decision-making and the concept of utilitarianism. It presents a scenario where a person is faced with a moral choice that involves sacrificing one life to save others. The traditional setup involves a runaway trolley hurtling down a track towards a group of people who will be killed if it continues on its path. The person facing the dilemma has the option to divert the trolley onto a different track, where it will kill one person instead of the group.

The ethical question at the heart of the trolley problem revolves around whether it is morally justifiable to actively intervene to sacrifice one life to save many others. Philosophers use variations of this scenario to explore different factors that may influence moral decision-making, such as the number of lives at stake, the role of intention, and the consequences of one’s actions.

The trolley problem has practical applications beyond philosophical thought experiments, particularly in fields like autonomous vehicle technology. Engineers and ethicists grapple with similar dilemmas when programming self-driving cars, where decisions must be made about how the vehicle should respond in potentially fatal situations.

trolley:美 [ˈtrɑːli] 乘电车;

utilitarian:美 [ˌjuːtɪlɪˈteriən] 有效用的;实用的;功利主义的

Bentham says the car should follow utilitarian ethics 汽车应该遵循功利主义伦理

take its course: 顺其自然, 完成自身的发展阶段

and you should let the car take its course even if that’s going to harm more people 你应该让汽车顺其自然,即使这会伤害更多的人

pamphlet:美 [ˈpæmflət] 小册子

English economist William Forster Lloyd published a pamphlet 英国经济学家威廉·福斯特·劳埃德出版了一本小册子

graze:美 [ɡreɪz] 在田野里吃草

English farmers who are sharing a common land for their sheep to graze. 共享一片土地放羊的英国农民。

rejuvenate:美 [rɪˈdʒuːvəneɪt] 使感觉更年轻;使恢复青春活力;

the land will be rejuvenated 这片土地将重新焕发生机

detriment:美 [ˈdetrɪmənt] 伤害,损害

to the detriment of all the farmers, 对所有农民不利

the tragedy of the commons 共用品悲剧

The tragedy of the commons is a concept in economics and environmental science that refers to a situation where multiple individuals, acting independently and rationally in their own self-interest, deplete a shared limited resource, leading to its degradation or depletion. The term was popularized by the ecologist Garrett Hardin in a famous 1968 essay.

The tragedy of the commons arises when individuals prioritize their own short-term gains over the long-term sustainability of the shared resource. Since no single individual bears the full cost of their actions, there is little incentive to conserve or manage the resource responsibly. Instead, each person maximizes their own benefit, leading to overexploitation or degradation of the resource, which ultimately harms everyone.

Classic examples of the tragedy of the commons include overfishing in open-access fisheries, deforestation of public lands, and pollution of the air and water. In each case, individuals or groups exploit the resource without considering the negative consequences for others or the sustainability of the resource itself.

Addressing the tragedy of the commons often requires collective action and the establishment of regulations, property rights, or other mechanisms to manage and protect the shared resource. By aligning individual incentives with the common good, it becomes possible to mitigate overuse and ensure the sustainable management of resources for the benefit of all.

insidious:美 [ɪnˈsɪdiəs] 潜伏的;隐患的

the problem may be a little bit more insidious because there is not necessarily an individual human being making those decisions. 这个问题可能更隐蔽一点,因为不一定会是人做出这些决定。

jaywalking: 走路不遵守交通规则, 擅自穿越马路

punish jaywalking:惩罚乱穿马路

zeroth:第零个

Asimov introduced the zeroth law which takes precedence above all, and it’s that a robot may not harm humanity as a whole. 阿西莫夫提出了第零定律,该定律高于一切,即机器人不得伤害整个人类。

Transcript

Today I’m going to talk
about technology and society.

The Department of Transport
estimated that last year

35,000 people died
from traffic crashes in the US alone.

Worldwide, 1.2 million people
die every year in traffic accidents.

If there was a way we could eliminate
90 percent of those accidents,

would you support it?

Of course you would.

This is what driverless car technology
promises to achieve

by eliminating the main
source of accidents –

human error.

Now picture yourself
in a driverless car in the year 2030,

sitting back and watching
this vintage TEDxCambridge video.

(Laughter)

All of a sudden,

the car experiences mechanical failure
and is unable to stop.

If the car continues,

it will crash into a bunch
of pedestrians crossing the street,

but the car may swerve,

hitting one bystander,

killing them to save the pedestrians.

What should the car do,
and who should decide?

What if instead the car
could swerve into a wall,

crashing and killing you, the passenger,

in order to save those pedestrians?

This scenario is inspired
by the trolley problem,

which was invented
by philosophers a few decades ago

to think about ethics.

Now, the way we think
about this problem matters.

We may for example
not think about it at all.

We may say this scenario is unrealistic,

incredibly unlikely, or just silly.

But I think this criticism
misses the point

because it takes
the scenario too literally.

Of course no accident
is going to look like this;

no accident has two or three options

where everybody dies somehow.

Instead, the car is going
to calculate something

like the probability of hitting
a certain group of people,

if you swerve one direction
versus another direction,

you might slightly increase the risk
to passengers or other drivers

versus pedestrians.

It’s going to be
a more complex calculation,

but it’s still going
to involve trade-offs,

and trade-offs often require ethics.

We might say then,
"Well, let’s not worry about this.

Let’s wait until technology
is fully ready and 100 percent safe."

Suppose that we can indeed
eliminate 90 percent of those accidents,

or even 99 percent in the next 10 years.

What if eliminating
the last one percent of accidents

requires 50 more years of research?

Should we not adopt the technology?

That’s 60 million people
dead in car accidents

if we maintain the current rate.

So the point is,

waiting for full safety is also a choice,

and it also involves trade-offs.

People online on social media
have been coming up with all sorts of ways

to not think about this problem.

One person suggested
the car should just swerve somehow

in between the passengers –

(Laughter)

and the bystander.

Of course if that’s what the car can do,
that’s what the car should do.

We’re interested in scenarios
in which this is not possible.

And my personal favorite
was a suggestion by a blogger

to have an eject button in the car
that you press –

(Laughter)

just before the car self-destructs.

(Laughter)

So if we acknowledge that cars
will have to make trade-offs on the road,

how do we think about those trade-offs,

and how do we decide?

Well, maybe we should run a survey
to find out what society wants,

because ultimately,

regulations and the law
are a reflection of societal values.

So this is what we did.

With my collaborators,

Jean-François Bonnefon and Azim Shariff,

we ran a survey

in which we presented people
with these types of scenarios.

We gave them two options
inspired by two philosophers:

Jeremy Bentham and Immanuel Kant.

Bentham says the car
should follow utilitarian ethics:

it should take the action
that will minimize total harm –

even if that action will kill a bystander

and even if that action
will kill the passenger.

Immanuel Kant says the car
should follow duty-bound principles,

like “Thou shalt not kill.”

So you should not take an action
that explicitly harms a human being,

and you should let the car take its course

even if that’s going to harm more people.

What do you think?

Bentham or Kant?

Here’s what we found.

Most people sided with Bentham.

So it seems that people
want cars to be utilitarian,

minimize total harm,

and that’s what we should all do.

Problem solved.

But there is a little catch.

When we asked people
whether they would purchase such cars,

they said, “Absolutely not.”

(Laughter)

They would like to buy cars
that protect them at all costs,

but they want everybody else
to buy cars that minimize harm.

(Laughter)

We’ve seen this problem before.

It’s called a social dilemma.

And to understand the social dilemma,

we have to go a little bit
back in history.

In the 1800s,

English economist William Forster Lloyd
published a pamphlet

which describes the following scenario.

You have a group of farmers –

English farmers –

who are sharing a common land
for their sheep to graze.

Now, if each farmer
brings a certain number of sheep –

let’s say three sheep –

the land will be rejuvenated,

the farmers are happy,

the sheep are happy,

everything is good.

Now, if one farmer brings one extra sheep,

that farmer will do slightly better,
and no one else will be harmed.

But if every farmer made
that individually rational decision,

the land will be overrun,
and it will be depleted

to the detriment of all the farmers,

and of course,
to the detriment of the sheep.

We see this problem in many places:

in the difficulty of managing overfishing,

or in reducing carbon emissions
to mitigate climate change.

When it comes to the regulation
of driverless cars,

the common land now
is basically public safety –

that’s the common good –

and the farmers are the passengers

or the car owners who are choosing
to ride in those cars.

And by making the individually
rational choice

of prioritizing their own safety,

they may collectively be
diminishing the common good,

which is minimizing total harm.

It’s called the tragedy of the commons,

traditionally,

but I think in the case
of driverless cars,

the problem may be
a little bit more insidious

because there is not necessarily
an individual human being

making those decisions.

So car manufacturers
may simply program cars

that will maximize safety
for their clients,

and those cars may learn
automatically on their own

that doing so requires slightly
increasing risk for pedestrians.

So to use the sheep metaphor,

it’s like we now have electric sheep
that have a mind of their own.

(Laughter)

And they may go and graze
even if the farmer doesn’t know it.

So this is what we may call
the tragedy of the algorithmic commons,

and if offers new types of challenges.

Typically, traditionally,

we solve these types
of social dilemmas using regulation,

so either governments
or communities get together,

and they decide collectively
what kind of outcome they want

and what sort of constraints
on individual behavior

they need to implement.

And then using monitoring and enforcement,

they can make sure
that the public good is preserved.

So why don’t we just,

as regulators,

require that all cars minimize harm?

After all, this is
what people say they want.

And more importantly,

I can be sure that as an individual,

if I buy a car that may
sacrifice me in a very rare case,

I’m not the only sucker doing that

while everybody else
enjoys unconditional protection.

In our survey, we did ask people
whether they would support regulation

and here’s what we found.

First of all, people
said no to regulation;

and second, they said,

"Well if you regulate cars to do this
and to minimize total harm,

I will not buy those cars."

So ironically,

by regulating cars to minimize harm,

we may actually end up with more harm

because people may not
opt into the safer technology

even if it’s much safer
than human drivers.

I don’t have the final
answer to this riddle,

but I think as a starting point,

we need society to come together

to decide what trade-offs
we are comfortable with

and to come up with ways
in which we can enforce those trade-offs.

As a starting point,
my brilliant students,

Edmond Awad and Sohan Dsouza,

built the Moral Machine website,

which generates random scenarios at you –

basically a bunch
of random dilemmas in a sequence

where you have to choose what
the car should do in a given scenario.

And we vary the ages and even
the species of the different victims.

So far we’ve collected
over five million decisions

by over one million people worldwide

from the website.

And this is helping us
form an early picture

of what trade-offs
people are comfortable with

and what matters to them –

even across cultures.

But more importantly,

doing this exercise
is helping people recognize

the difficulty of making those choices

and that the regulators
are tasked with impossible choices.

And maybe this will help us as a society
understand the kinds of trade-offs

that will be implemented
ultimately in regulation.

And indeed, I was very happy to hear

that the first set of regulations

that came from
the Department of Transport –

announced last week –

included a 15-point checklist
for all carmakers to provide,

and number 14 was ethical consideration –

how are you going to deal with that.

We also have people
reflect on their own decisions

by giving them summaries
of what they chose.

I’ll give you one example –

I’m just going to warn you
that this is not your typical example,

your typical user.

This is the most sacrificed and the most
saved character for this person.

(Laughter)

Some of you may agree with him,

or her, we don’t know.

But this person also seems to slightly
prefer passengers over pedestrians

in their choices

and is very happy to punish jaywalking.

(Laughter)

So let’s wrap up.

We started with the question –
let’s call it the ethical dilemma –

of what the car should do
in a specific scenario:

swerve or stay?

But then we realized
that the problem was a different one.

It was the problem of how to get
society to agree on and enforce

the trade-offs they’re comfortable with.

It’s a social dilemma.

In the 1940s, Isaac Asimov
wrote his famous laws of robotics –

the three laws of robotics.

A robot may not harm a human being,

a robot may not disobey a human being,

and a robot may not allow
itself to come to harm –

in this order of importance.

But after 40 years or so

and after so many stories
pushing these laws to the limit,

Asimov introduced the zeroth law

which takes precedence above all,

and it’s that a robot
may not harm humanity as a whole.

I don’t know what this means
in the context of driverless cars

or any specific situation,

and I don’t know how we can implement it,

but I think that by recognizing

that the regulation of driverless cars
is not only a technological problem

but also a societal cooperation problem,

I hope that we can at least begin
to ask the right questions.

Thank you.

(Applause)

Summary

In Iyad Rahwan’s TED Talk, he delves into the ethical dilemmas surrounding the advent of driverless car technology. He begins by highlighting the potential of this technology to significantly reduce traffic accidents caused by human error, thereby saving countless lives. However, he poses a thought-provoking scenario: if faced with a situation where a driverless car must choose between different courses of action, such as swerving to avoid pedestrians at the risk of harming the passenger, who should decide and how? Rahwan draws parallels to the classic philosophical trolley problem to illustrate the complex ethical considerations at play in programming autonomous vehicles.

Rahwan emphasizes the societal implications of adopting driverless car technology and the challenges it poses. He discusses the tension between individual preferences for safety and societal values, pointing out the paradox where individuals may support utilitarian ethics for autonomous vehicles while prioritizing their own safety when it comes to purchasing decisions. This dilemma reflects the classic tragedy of the commons, where individual rational choices may lead to suboptimal outcomes for society as a whole. Rahwan argues that addressing these challenges requires collective decision-making and regulation informed by societal values.

To explore societal values and preferences regarding the ethical dilemmas of driverless cars, Rahwan and his collaborators conducted surveys and developed the Moral Machine website. Through this platform, they collected data on people’s choices in hypothetical scenarios, revealing diverse perspectives and priorities across cultures. Rahwan underscores the importance of understanding and reconciling these differences in shaping regulations for autonomous vehicles. He concludes by advocating for ongoing dialogue and cooperation to navigate the ethical complexities of driverless car technology, ultimately aiming to ensure that societal values are reflected in its implementation.

后记

2024年5月6日18点43分于上海。

本文来自互联网用户投稿,该文观点仅代表作者本人,不代表本站立场。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如若转载,请注明出处:http://www.mfbz.cn/a/597429.html

如若内容造成侵权/违法违规/事实不符,请联系我们进行投诉反馈qq邮箱809451989@qq.com,一经查实,立即删除!

相关文章

【笔试训练】day20

1.经此一役小红所向无敌 默认小红血量无限。直接计算出经过几轮攻击后,会出现人员伤亡。 对于对立来说他最多承受n轮光的攻击,对于光来说,他最多承受立得m轮攻击。 所以在经过min(n,m)轮回合之后,他们两个人至少死一个。活下来的…

已解决Error: Could Not Find a Version That Satisfies the Requirement XXX

博主猫头虎的技术世界 🌟 欢迎来到猫头虎的博客 — 探索技术的无限可能! 专栏链接: 🔗 精选专栏: 《面试题大全》 — 面试准备的宝典!《IDEA开发秘籍》 — 提升你的IDEA技能!《100天精通鸿蒙》 …

大数据面试题(十):Hive的高频面试考点(二)

文章目录 Hive的高频面试考点 一、请说明Hive中 sort by ,order by ,cluster by ,distribute by各代表什么意思

Java多线程优化接口响应

同步查询 Override public MallOrder getById1(Long id) {long startTime System.currentTimeMillis();MallOrder mallOrder new MallOrder();mallOrder.setId(1L);mallOrder.setShopId(3L);mallOrder.setCustomerId(78L);mallOrder.setGoodsId(664L);mallOrder.setOrderTime…

java基础07(二维数组 方法)

目录 一. 二维数组 1. 声明 2. 初始化 3. 取值 赋值 4. 遍历 5. 一些细节 二. 方法 1. 方法的定义 1.1 无返回值方法 1.2 有返回值方法 2. 方法的调用 3. 动态参数 4. Overload 方法重载 一. 二维数组 二维数组的本质其实就是一维数组,只不过每个元素又是…

PCB光控打孔机第二版程序(一)

/*PCB机程序 XY同时启动 L9751 CODE61068 2018 6 19 08:00 固定位置释放吸盘*/ /*修正寻点第十二条结束调用计算坐标L5091,自动运行Y计算L6280 6281***/ /*** 开外部中断2关闭定时器2XY轴输出信号,自动运行循环检测外部中断高电平重启XY轴输出信号 增加寻…

node安装

1. node.js是用来干什么的? 简单来说,Node.js 是一个多功能的 JavaScript 运行环境,就像jdk是java的运行环境一样,不过node还提供了类似于tomcat一样的服务器功能,可以像后端一样运行起来拥有单独的地址和端口。 1.1…

Skywalking的重要功能详解

学习本篇文章之前首先要了解一下Sky walking的基础知识 分布式链路追踪工具Sky walking详解 一&#xff0c;Sky walking监控数据库 在admin服务中&#xff0c;连接数据库查询user表中所有数据 引入依赖 <dependency><groupId>mysql</groupId><artifactI…

Redis高级(Redis持久化,Redis主从模式,Redis哨兵模式,Redis分片集群)

目录 一、单机Redis 1. 问题说明 2. 安装Redis 1 解压安装Redis【备用】 2 配置Redis 3 启动Redis 3. 小结 二、Redis持久化 1. 持久化机制介绍 2. RDB模式 3. AOF模式 4. RDB和AOF对比 5. 小结 三、Redis主从模式 1. 介绍 2. 搭建Redis主从架构【备用】 3. 主…

软件测试与管理:黑盒测试-判定表驱动法

知识思维导图&#xff1a; 例题1&#xff1a;运用判定表驱动法设计测试用例。 某学生成绩管理系统&#xff0c;要求对“平均成绩在90分以上&#xff0c;且没有不及格科目的学生&#xff0c;或班级成绩排名在前5的学生&#xff0c;在程序中将学生的姓名用红色标识”&#xff0c;…

【前端】HTML实现个人简历信息展示页面

文章目录 前言一、 综合案例&#xff1a;个人简历信息展示页面 前言 这篇博客仅仅是对HTML的基本结构进行了一些说明&#xff0c;关于HTML的更多讲解以及CSS、Javascript部分的讲解可以关注一下下面的专栏&#xff0c;会持续更新的。 链接&#xff1a; Web前端学习专栏 下面我…

Python | Leetcode Python题解之第73题矩阵置零

题目&#xff1a; 题解&#xff1a; class Solution:def setZeroes(self, matrix: List[List[int]]) -> None:m, n len(matrix), len(matrix[0])flag_col0 Falsefor i in range(m):if matrix[i][0] 0:flag_col0 Truefor j in range(1, n):if matrix[i][j] 0:matrix[i]…

实时音视频通信的主要矛盾及解决方法

实时音视频通信的主要矛盾及解决方法 实时音视频通信的主要矛盾及解决方法实时音视频通信的主要矛盾矛盾的解决方法增加带宽减少数据量适当增加延时提高网络质量快速准确地评估带宽 总结参考 实时音视频通信的主要矛盾及解决方法 实时音视频通信的主要矛盾 实时音视频通信的主…

工厂模式+策略模式完成多种登录模式的实现

前提 &#xff08;简单工厂不属于设计模式&#xff0c;而是一种编程思想【抽象一层出来】&#xff09;工厂方法模式、抽象工厂模式 以上都是为了解耦&#xff0c;如果考虑多个纬度&#xff08;如需要同时考虑多种电器&#xff0c;多种品牌&#xff09;则优先考虑抽象工厂。 …

公网tcp转流

之前做过几次公网推流的尝试, 今天试了UDP推到公网, 再用TCP从公网拉下来, 发现不行, 就直接改用TCP转TCP了. 中间中转使用的python脚本, 感谢GPT提供技术支持: import socket import threadingdef tcp_receiver(port, forward_queue):"""接收TCP数据并将其放入…

Liunx磁盘管理(下)

中篇&#xff1a;https://blog.csdn.net/Lzcsfg/article/details/138355036 一.逻辑卷 逻辑卷&#xff08;Logical Volume&#xff09;是逻辑卷管理 (LVM) 中的一个概念&#xff0c;它为 Linux 系统中的存储管理提供了更大的灵活性和可扩展性。LVM 允许你将物理存储设备&…

用js代码实现贪吃蛇小游戏

js已经学了大部分了&#xff0c;现在就利用我所学的js知识试试做贪吃蛇小游戏吧 以下部分相关图片以及思路笔记均出自渡一陈老师的视频 首先制作简单的静态页面&#xff0c;添加贪吃蛇移动的背景和相关图片&#xff0c;比如开始游戏等等 将各个功能均封装在函数中&#xff0…

multipass launch失败:Could not generate a new UUID vboxmanage添加环境变量path

C:\WINDOWS\system32>multipass launch [2024-05-06T15:48:54.320] [error] [relished-jerboa] Could not unregister VM: Process failed to start: 系统找不到指定的文件。 launch failed: Could not generate a new UUID: Process failed to start: 系统找不到指定的文件…

服务攻防-数据库安全RedisCouchDBH2database未授权访问CVE漏洞

#知识点&#xff1a; 1、数据库-Redis-未授权RCE&CVE 2、数据库-Couchdb-未授权RCE&CVE 3、数据库-H2database-未授权RCE&CVE#章节点&#xff1a; 1、目标判断-端口扫描&组合判断&信息来源 2、安全问题-配置不当&CVE漏洞&弱口令爆破 3、复现对象-数…

Chat2DB Pro 重磅发布 !!!

在过去的几个月中&#xff0c;我们的团队一直默默耕耘&#xff0c;全心投入到Chat2DB Pro版本的开发之中。这段时间里&#xff0c;我们暂停了新动态的发布&#xff0c;以至于有趣的误解在社群中出现&#xff0c;有人调侃我们是否“倒闭”了。然而&#xff0c;我们今天携带着全新…
最新文章