Would you sacrifice one person to save five? - Eleanor Nelsen

5,161,800 views

2017-01-12 ・ TED-Ed


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Would you sacrifice one person to save five? - Eleanor Nelsen

5,161,800 views ・ 2017-01-12

TED-Ed


Please double-click on the English subtitles below to play the video.

00:06
Imagine you're watching a runaway trolley barreling down the tracks
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straight towards five workers who can't escape.
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You happen to be standing next to a switch
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that will divert the trolley onto a second track.
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Here's the problem.
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That track has a worker on it, too, but just one.
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What do you do?
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Do you sacrifice one person to save five?
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This is the trolley problem,
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a version of an ethical dilemma that philosopher Philippa Foot devised in 1967.
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It's popular because it forces us to think about how to choose
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when there are no good choices.
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Do we pick the action with the best outcome
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or stick to a moral code that prohibits causing someone's death?
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In one survey, about 90% of respondents said that it's okay to flip the switch,
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01:00
letting one worker die to save five,
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and other studies, including a virtual reality simulation of the dilemma,
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have found similar results.
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These judgments are consistent with the philosophical principle of utilitarianism
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which argues that the morally correct decision
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is the one that maximizes well-being for the greatest number of people.
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The five lives outweigh one,
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even if achieving that outcome requires condemning someone to death.
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But people don't always take the utilitarian view,
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which we can see by changing the trolley problem a bit.
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This time, you're standing on a bridge over the track
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as the runaway trolley approaches.
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Now there's no second track,
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but there is a very large man on the bridge next to you.
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If you push him over, his body will stop the trolley,
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saving the five workers,
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but he'll die.
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To utilitarians, the decision is exactly the same,
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lose one life to save five.
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02:01
But in this case, only about 10% of people
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say that it's OK to throw the man onto the tracks.
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Our instincts tell us that deliberately causing someone's death
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is different than allowing them to die as collateral damage.
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It just feels wrong for reasons that are hard to explain.
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This intersection between ethics and psychology
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is what's so interesting about the trolley problem.
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The dilemma in its many variations reveal that what we think is right or wrong
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depends on factors other than a logical weighing of the pros and cons.
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For example, men are more likely than women
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to say it's okay to push the man over the bridge.
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So are people who watch a comedy clip before doing the thought experiment.
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And in one virtual reality study,
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people were more willing to sacrifice men than women.
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Researchers have studied the brain activity
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of people thinking through the classic and bridge versions.
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Both scenarios activate areas of the brain involved in conscious decision-making
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and emotional responses.
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But in the bridge version, the emotional response is much stronger.
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So is activity in an area of the brain
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associated with processing internal conflict.
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Why the difference?
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One explanation is that pushing someone to their death feels more personal,
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activating an emotional aversion to killing another person,
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but we feel conflicted because we know it's still the logical choice.
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"Trolleyology" has been criticized by some philosophers and psychologists.
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They argue that it doesn't reveal anything because its premise is so unrealistic
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that study participants don't take it seriously.
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But new technology is making this kind of ethical analysis
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more important than ever.
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For example, driver-less cars may have to handle choices
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like causing a small accident to prevent a larger one.
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Meanwhile, governments are researching autonomous military drones
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that could wind up making decisions of whether they'll risk civilian casualties
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to attack a high-value target.
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If we want these actions to be ethical,
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we have to decide in advance how to value human life
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and judge the greater good.
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So researchers who study autonomous systems
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are collaborating with philosophers
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to address the complex problem of programming ethics into machines,
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which goes to show that even hypothetical dilemmas
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can wind up on a collision course with the real world.
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