Should Robots Have Human Rights?
Robots are becoming an important part of today’s culture and are being used for a whole range of tasks including space exploration, manufacturing and in doing service industry jobs.
Robots are becoming an important part of today’s culture and are being used for a whole range of tasks including space exploration, manufacturing and in doing service industry jobs. People are beginning to embrace them more and more as they realize the potential time and money robots can save us.
But, how far do we take this reliance and this relationship? Experts are now saying that as we approach the near-human intelligence and conscious levels in humans that perhaps we should be considering the rights and protection needed for the robots. If we are easily protected from them, should they not similarly be protected from us?
This is one theory questioned by Marcus du Sautoy, who is a mathematician from the University of Oxford. His point is that if we are giving these beings the ability to feel and have a real sense of self, then surely it is only right that they should have some form of rights the same way in which humans do. Whether something has an organic or synthetic consciousness, it is still there and should not be ignored.
But not everyone will be on board with Marcus’ theory, and some may feel that if we start to give robots rights, then one day they may use this freedom to turn against us. Whatever your views on the subject, we may still be some way off from developing this as a whole as much time, resources and research would need to be put in to ensure we are protecting both humans and robots efficiently.
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Daniel Okafor
Daniel Okafor is the Senior AI Reporter at TrendinTech, where he covers large language models, machine learning research and the practical use of artificial intelligence across business and government. He previously reported on artificial intelligence for MIT Technology Review, covering the labs behind the current generation of frontier models and the policy debates in Washington and Brussels. Daniel holds a Master of Science in Machine Learning from Carnegie Mellon University and follows the research community closely, attending NeurIPS and ICML each year to speak with the people behind the papers. He has a particular interest in evaluation: how models are benchmarked, where those benchmarks fail and what that means for the companies betting on them.
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