The smartest AI is a highly debated topic and can be defined in various ways depending on the context. However, some of the most advanced and widely recognized AI systems that are considered to be the "smartest" include: Watson is an AI system that was developed by IBM and is known for its ability to understand and respond to natural language. It uses machine learning algorithms and natural language processing to analyze and interpret large amounts of data, making it a powerful tool for businesses and researchers. Watson has been used in various applications such as medical diagnosis, financial analysis, and even in the game show Jeopardy! AlphaGo is an AI system developed by Google's DeepMind that is able to play the complex game of Go at a professional level.

It's easy to see the latest algorithms write a story or create an image from text and think that they are ready to take on a whole range of human tasks. But experts insist that AI systems' growing power makes it more important than ever to keep humans in the loop. Why it matters: AI-based computer systems are being used to handle an array of increasingly consequential tasks. While machine learning-trained systems do many things well, they can also be confidently wrong -- a dangerous combination. Liang has launched a project to evaluate the latest machine learning models on a range of factors, from accuracy to transparency.

Artificial intelligence is, undeniably, one of the most important inventions in the history of humankind. It belongs on a fantasy'Mt. In fact, even now in 2020, AI is still dumber than a baby. Most AI experts – those with boots on the ground in the researcher and developer communities – believe the path forward is through continued investment in status quo systems. Rome, as they say, wasn't built in one day and human-level AI systems won't be either.

Last week 300 planners were packed into Google HQ in London to talk all things AI, robotics and machine learning. This whole area, despite being with us for a long time, has suddenly become a huge area of focus for the industry not least because of the huge shifts in behaviour, advantage and opportunity that it will bring. We wanted to take as broad a perspective as possible with this event, and so we had five exceptional speakers, each with a unique point of view on the theme. Author and designer Tom Chatfield kicked us off by talking about how much of the recent focus on AI has been around the'usurpation narrative of human-machine interactions…a creation is pitted against its creators, aspiring ultimately to supplant them'. Science fiction is full of machines that are out to eliminate or hoodwink us, and the application of AI in game scenarios (Go, Chess) always means that there's a winner (usually the machine) and a loser (the human creator).

That was the result of the match between Google's AlphaGo and human champion Lee Sedol at the fiendishly complex game of Go, and it came with a disconcerting question: what next? Where will the machines claim their next victory: putting you out of a job; solving the mysteries of science; bettering human abilities in the bedroom? AlphaGo's success was down to artificial intelligence (AI): the computer program taught itself how to improve its game by playing millions of matches against itself. But the trouble with using games such as chess and Go as measures of technological progress is that they are competitions. There's a winner and there's a loser – and this month's biggest tech news story had a clear victor.