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Here are the top massive failures of artificial intelligence in AI history to date.

The creation of artificial intelligence has been postponed for several millennia, and current AI technology is still far from being able to re-design itself in any significant sense. Even now, though, things with artificial intelligence may go wrong. Unfortunately, AI systems may run amok on their own, with no outside intervention.

AI failed to recognize images:

This example is one of the popular AI failures. Deep learning, a collection of methods commonly used to construct AI, began its triumphant march around 20 years ago with the breakthrough in image recognition, also known as computer vision. It completed previously unsolvable tasks, such as identifying cats from dogs and vice versa, before moving on to more difficult and demanding challenges. It is now a widely held belief that computer vision is a stable and trustworthy technology that is unlikely to fail. Researchers from Berkeley, the University of Chicago, and the University of Washington gathered 7,500 unedited nature pictures a year ago, which perplexed even the most powerful computer vision algorithms. Even the most tried and true algorithms might fail at times.

AI despised humans:

After 24 hours of ‘learning’ from human interactions, Tay, Microsoft’s most advanced chatbot, declared, “Hitler was correct to hate the Jews” on Twitter. The goal was to build a slang-filled chatbot that would raise machine-human conversation quality to a new level. However, it was revealed to be a “robot parrot with an internet connection.” The chatbot was constructed on top of the company’s AI technology stack, but the harsh reality appears to have ruined the innocent artificial intelligence worldview: an excellent illustration of how data may damage an AI model built in a “clean” lab environment without immunity to detrimental outside impact. This example belongs to another popular AI failure.

AI to fight cancer could kill patients:

Another failure cost US$62 million, which was spent by IBM to develop an AI system to aid in the battle against cancer. However, the outcome was once again unsatisfactory. The product, according to a doctor at Jupiter Hospital in Florida, was a complete failure. He went on to say that they acquired it for marketing purposes. Watson advised physicians to give a cancer patient with serious bleeding a medication that might aggravate the bleeding, according to medical experts and customers. Multiple cases of dangerous and erroneous therapy suggestions were reported by medical experts and customers. View More