A group of Massachusetts Institute of Technology (MIT) researchers have opted to not just discuss all of the ways artificial intelligence (AI) can go wrong, but to create what they described in an abstract released Wednesday as “a living database” of 777 risks extracted from 43 taxonomies.
According to an article in MIT Technology Review outlining the initiative, “adopting AI can be fraught with danger. Systems could be biased or parrot falsehoods, or even become addictive. And that’s before you consider the possibility AI could be used to create new biological or chemical weapons, or even one day somehow spin out of control. To manage these potential risks, we first need to know what they are.”
A group of Massachusetts Institute of Technology (MIT) researchers have opted to not just discuss all of the ways artificial intelligence (AI) can go wrong, but to create what they described in an abstract released Wednesday as “a living database” of 777 risks extracted from 43 taxonomies.
According to an article in MIT Technology Review outlining the initiative, “adopting AI can be fraught with danger. Systems could be biased or parrot falsehoods, or even become addictive. And that’s before you consider the possibility AI could be used to create new biological or chemical weapons, or even one day somehow spin out of control. To manage these potential risks, we first need to know what they are.” Read More
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