Skip to main content

Our website uses cookies to give you the most optimal experience online by: measuring our audience, understanding how our webpages are viewed and improving consequently the way our website works, providing you with relevant and personalized marketing content.
You have full control over what you want to activate. You can accept the cookies by clicking on the “Accept all cookies” button or customize your choices by selecting the cookies you want to activate. You can also decline all non-necessary cookies by clicking on the “Decline all cookies” button. Please find more information on our use of cookies and how to withdraw at any time your consent on our privacy policy.

Managing your cookies

Our website uses cookies. You have full control over what you want to activate. You can accept the cookies by clicking on the “Accept all cookies” button or customize your choices by selecting the cookies you want to activate. You can also decline all non-necessary cookies by clicking on the “Decline all cookies” button.

Necessary cookies

These are essential for the user navigation and allow to give access to certain functionalities such as secured zones accesses. Without these cookies, it won’t be possible to provide the service.
Matomo on premise

Marketing cookies

These cookies are used to deliver advertisements more relevant for you, limit the number of times you see an advertisement; help measure the effectiveness of the advertising campaign; and understand people’s behavior after they view an advertisement.
Adobe Privacy policy | Marketo Privacy Policy | Pardot Privacy Policy | Oktopost Privacy Policy | MRP Privacy Policy | AccountInsight Privacy Policy | Triblio Privacy Policy

Social media cookies

These cookies are used to measure the effectiveness of social media campaigns.
LinkedIn Policy

Our website uses cookies to give you the most optimal experience online by: measuring our audience, understanding how our webpages are viewed and improving consequently the way our website works, providing you with relevant and personalized marketing content. You can also decline all non-necessary cookies by clicking on the “Decline all cookies” button. Please find more information on our use of cookies and how to withdraw at any time your consent on our privacy policy.

Ethics and the limits of artificial intelligence


Posted on: April 14, 2020 by Guillaume von der Weid

This article is part of Atos Digital Vision: Ethics opinion paper which explores how embedding ethical reflection into the design of digital technologies can lead to genuine benefits for customers and citizens by helping to address their legitimate concerns about their wider impact, today and into the future.

Artificial intelligence (AI) systems have the potential for great decision-making power but have no consciousness or moral conscience. The challenge now is to make sure that AI reflects and respects the ethical dimension of human society.

Something has gone badly wrong. A self-driving car controlled by AI is hurtling toward a barrier at high speed. If it crashes, the lone passenger will be killed instantly. If the AI system swerves the car to the right, the vehicle will run into a group of five pedestrians and kill them all. What decision should it make? Should the car be programmed to protect its passengers or should it be prepared to sacrifice them for the greater good?

What would be the right answer if there were two people in the car and just one pedestrian? If there was one passenger in the car and one person in the road? Or if the pedestrian was crossing illegally on a red light? Or if the sole occupant of the car was a pregnant woman and the potential victims in the street all elderly and infirm?

These so-called “trolley problems,” familiar to a generation of philosophy students as thought experiments involving runaway trains, have assumed a new relevance in the age of AI. Now that machines have the capacity to make decisions, dilemmas such as these have moved to the frontline of an urgent debate about moral decision-making, accountability and responsibility in the age of AI.

Most people accept that ethical criteria will have to be programmed into AI systems so that they make the right choices. But in many instances the utilitarian calculus is not sufficient for this. Surveys by carmakers have comprehensively concluded that hardly anyone would buy a self-driving car which, in the scenarios above, would choose to kill them rather than a pedestrian.

The logic of utilitarianism looks hard to defeat on its own terms, but the principle of self-preservation seems to outweigh them all. Having said that, people would not buy a car exercising moral choices, even if they agreed with the moral principles embedded in its programming. The ultimate meaning of our life can’t be encoded into a machine. For now, it seems that we want to be able to justify our choices in terms of principles, and conversely, to be able to hold a person accountable for their actions. Even if they can pilot themselves, we still want someone in front of the controls of our planes.

Putting humans first

It is the confrontation between, on the one hand, the utilitarian calculations that determine maximum well-being and on the other the ethical duties that we need to resolve, if human life is to have any value at all.

A celebrated example of the limits of simple utilitarianism concerns hospital surgery. Imagine a doctor with five severely ill patients who need respectively a new liver, heart, kidney, pancreas and lung if they are to survive. Should the doctor consider using the organs of a young and healthy patient who is asleep in the waiting room in order to save the lives of those five people, killing the healthy patient in the process? The calculation looks the same as in our initial example, but in the hospital case no-one would agree with killing one person in order to save five people’s lives. There is little room for doubt here that the ethical principle – the doctor’s duty to life – overrides the calculation of maximizing well-being.

Whatever science fiction may tell us, the real risk of AI is not that machines become conscious and turn against us. The real risk is that AI reduces human beings to mere numbers and units, with no respect for human values, principles and aspirations.

It is our responsibility now to set the right boundaries for AI. We must ensure that this most promising of technologies obeys ethical criteria and puts human beings at its heart. Our future depends on making sure that the AI systems of tomorrow respect the principles and values that make us human.

Download Atos Digital Vision: Ethics

Share this blog article

  • Share on Linked In

About Guillaume von der Weid
Philosopher
Guillaume von der Weid is a philosopher, specialist of ethical questions, and particulary medical ones. More info on http://www.guillaumevonderweid.com/