SHAWORDS

As soon as we hear a machine speak, it’s implied that the machine unde — Laurence Devillers

"As soon as we hear a machine speak, it’s implied that the machine understands. That it has the capacity of a human. Which is not the case. For example Sophia from Hanson Robotics speaks in a way that is semantically coherent but she is following a script, she’s absolutely not autonomous, she has no desires or intentions. She’s a marionette. Engineers have given her a scripted dialog. Machine learning allows for learning from data, but without understanding. This machine has nothing to do yet with a living embryo."
Laurence Devillers
Laurence Devillers
Laurence Devillers
author

Laurence Devillers, is a professor of artificial intelligence & ethics at Paris-Sorbonne University since 2011 and at Computer science laboratory for mechanics and engineering sciences (LIMSI) at the Scientific Research National Center, a head of the team "Affective and social dimension in spoken interaction". Devillers has taken part in several national and European projects on human-robots socia

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"All of my work focuses on the idea that we need to keep a boundary between humans and robots. But Google is blurring the lines with this voice. It opens the door to unethical applications. The voice is what’s easiest to imitate for the moment, from a technological standpoint. It’s possible to trick the person who doesn’t know who they’re communicating with. You can make someone say things they never said. You can even make the dead speak. It’s a breach of trust."
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"Yes, my point of view is utilitarian and functional. Robots have a lot to offer us. When I see the percentage of the population that will be elderly in the next few years, it’s clear that we won’t have enough working people to look after them. So it could be interesting to have a robot in charge of monitoring these people when they are at the end of their lives for example. So robots are useful but we have to be aware that they should complement humans and not replace humans."
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"We understand ethics when it comes to data, this is why we need the new GDPR regulations. But when it comes to co-evolution with machines we aren’t talking about what changes it will lead to in terms of inter-human relations. Psychiatrists are interested in this question but the world of technology isn’t yet. Certain manufacturers I work with such as Softbank Robotics [who make the robots Pepper and Nao] are starting to understand the idea of ethics. But we still need to find a compromise between ethics and business. We need to agree together on a system of human values that will be respected by the robots who interact with us."
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