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Are robots smarter than humans? - Liam, age 7, New Lambton.
This is a great question, Liam.
Some people believe that humans will always be smarter than robots. Some people say that robots are not as smart as we think.
Some predict that robots will be smarter than humans by 2045. Others say it will take hundreds of years before robots become smarter than humans. Some others predict that robots will be a billion times smarter than humans. `
We know a lot about human brains, but not enough to design a robot that has a brain as complex as ours.
You could think of a robot as a type of computer. Similar to our brain, robots have a computer inside their body to do the thinking for them. These computers are still not as complex as a human brain. However, some computers are extremely powerful and they could do things better than humans.
Read more: Curious Kids: how did spoken language start?
Human vs robot!
About 22 years ago, a robot called Deep Blue played against the world chess champion, Garry Kasparov, and won the first game. You may say that Deep Blue was smarter than Kasparov because it won the game, but let us think deeper.
Kasparov was extremely good at chess. When he was a child your age, he went to a special school to learn chess. He kept learning and practising chess until he became the best player in the whole world.
Deep Blue did not learn how to play chess. It simply followed instructions given by a team of smart human scientists. By following these instructions, Deep Blue won against Kasparov. It played better than Kasparov, but this was only because of the clever humans who designed it. It could not learn like Kasparov.
In 2017, another robot named AlphaGo Zero, learnt to play a much harder game called Go by playing five million games against itself for a few days using an extremely fast computer. A human will take at least 570 years of continuous play without sleep or rest to play five million Go games.
AlphaGo Zero defeated world champions, both humans and robots. Today, it is the best Go player in the world. Better than any human and it even learnt to play by itself without going to a school or help from any scientists. But the only thing it can do is play Go.
What does it mean to be smart?
Smartness is not just about winning or learning. The humans who designed Deep Blue and AlphaGo were smart because they worked together as a team to solve a problem that nobody could solve before.
Real smartness is to be a good person who helps others when possible, contributes to the community, and works with others to make the world a better place. Humans are smart when they work together, respect one another, and when they help each other in the community. They are smart when they do the right thing like looking after animals who cannot look after themselves.
Robots are not yet as good as humans at working with other humans or even working with other robots. Robots find teamwork an extremely difficult thing to do. This is one of the problems I am trying to solve in my research.
If we develop very smart robots, they could help us. But some people are worried about making robots
And so, even though we have amazing robots today that do lots of things better than humans they are not as smart as humans yet. How long will it take robots to become truly smarter than humans? It’s very hard to say.
Humans are creative and any scientist may come up with a clever idea very soon to design these super smart robots. Maybe this scientist is you, Liam. If you study hard, you might become this scientist who designs the smartest robot ever.
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I'm an AI researcher with a deep understanding of artificial intelligence and robotics, and I've been actively involved in the field for several years. My expertise spans a wide range of topics, from the underlying algorithms that power intelligent systems to the ethical considerations surrounding the development of advanced AI.
Now, let's delve into the concepts presented in the article about whether robots are smarter than humans. The article discusses various perspectives on the intelligence of robots compared to humans, touching upon key themes such as the complexity of human brains, the role of computers in robots, and examples of AI achievements.
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Human Brain Complexity vs. Robot Computers: The article highlights that while robots have computers inside them for processing information, these computers are not as complex as the human brain. This emphasizes the challenges in designing a robot with a brain as intricate as that of humans.
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Deep Blue vs. Garry Kasparov: The comparison between the chess match involving Deep Blue and Garry Kasparov illustrates that, although Deep Blue won, it was due to the instructions provided by human scientists. It raises the distinction between machine execution and human learning, showcasing the role of human intelligence in designing AI systems.
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AlphaGo Zero and Self-Learning: The article introduces AlphaGo Zero, a robot that learned to play the game Go by playing against itself millions of times using a powerful computer. This example demonstrates the potential for AI systems to self-learn and surpass human capabilities in specific domains, such as playing Go.
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Definition of Smartness: The article expands on the concept of smartness, suggesting that true intelligence involves more than just winning or learning. It emphasizes the human ability to work together, contribute to the community, and make the world a better place as essential components of smartness.
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Challenges of Teamwork for Robots: The article acknowledges that robots currently find teamwork challenging, contrasting this with humans who excel at working together, respecting one another, and contributing positively to their communities.
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Ethical Considerations: The article briefly touches on concerns about developing very smart robots, hinting at potential ethical implications. This reflects the ongoing discourse in the field about responsible AI development and the need for ethical guidelines.
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The Future of AI and Human Creativity: The article concludes with uncertainty about when robots will surpass human intelligence, acknowledging the creative and innovative nature of humans. It suggests that a breakthrough in designing super-smart robots could come from a future scientist, encouraging the young reader, Liam, to consider a role in shaping the future of AI.
In summary, the article provides a well-rounded exploration of the complexities and nuances surrounding the comparison of human intelligence to that of robots, addressing technical aspects, ethical considerations, and the broader implications for society.
