![]() You have to drive on a particular side of the road and under a certain speed. Your car has to be inspected regularly and must be roadworthy. You must earn a licence to drive beyond a minimum age. The vehicle must be safe for passengers.Īt the same time another set of actors, in this case a state government or national government, develops a set of rules and regulations around the use of cars. Tyres must not blow out and cause an accident. Guidelines for responsible AI consumptionĬar manufacturers have certain responsibilities. Many other factors were involved in this terrible accident, but once again it demonstrates the importance of fully representative data in the set from which the AI is learning. A report in The Economist about the death of a pedestrian hit by a self-driving Uber vehicle said the car spotted the pedestrian but, because she was pushing a bicycle, didn’t recognise her as a pedestrian. It can cause errors, and in more serious instances it can cause deaths. ![]() This is a good example of AI having the potential to amplify our own biases. As a result, it errored out when it saw anything that did not match that set. When she began to unpick this, she found the training data contained only Caucasian faces. She was working on facial recognition technology which, despite very easily recognising the faces of her Caucasian colleagues, couldn’t recognise her face as a face. I remember a wonderful TED talk by an MIT researcher who is African American. But what if it is not fed the right mix of data? AI algorithms feed on data, under a form of supervised learning – our Chief Scientist Richard Socher recently said about training AI, “If you put rubbish in, you get rubbish back out”.įundamentally, it is a sophisticated pattern recognition framework that is based on the data it is fed. The discussion around creation centres on the inherent biases we might be hard-wiring into AI as we build it. The first is about creation and the second is consumption. I think there are two important lenses we must look through. People are trying to work through the implications of how AI is developed in its infancy, of how and what it is fed in order for it to grow into a responsible adult. ![]() It’s in its formative years and, as we bring it into our industries, our workplaces and our homes, as we shape what it will become, what sets of values are we going to embed into it? We’ve now seen the birth of artificial intelligence, another powerful force. ![]() The values the Kent family infused into the boy as he grew allowed him to become a superhero rather than a super villain. As every parent knows, a large part of the person a child grows up to become results from the values parents role model.īut this was no ordinary child, he had super powers. He was found and adopted by the kind-hearted Kent family, who taught him strong values. As AI matures and its use becomes widespread, the technology learns what we teach and uses it to do as we instruct, so ethics is a vital consideration in both creation and consumption.Īs an infant, Superman was sent in a rocket from Krypton and crash landed on Earth. ![]()
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