As companies build AI algorithms, they need to be developed and trained responsibly. This reality could lead to unintended consequences like the ones we have seen with discriminatory recruiting algorithms and Microsoft’s Twitter chatbot that became racist. If AI algorithms are built with a bias or the data in the training sets they are given to learn from is biassed, they will produce results that are biassed. Since AI algorithms are built by humans, they can have built-in bias by those who either intentionally or inadvertently introduce them into the algorithm. The first step in being able to prepare for the negative impacts of artificial intelligence is to consider what some of those negative impacts might be. So we cannot know if we will be infinitely helped by AI or ignored by it and sidelined, or conceivably destroyed by it.” Legendary physicist Stephen Hawking shared this ominous warning: “Success in creating effective AI could be the biggest event in the history of our civilisation. What those might be, the better equipped we will be to mitigate and manage the dangers. Artificial intelligence (AI) is doing a lot of good and will continue to provide many benefits for our modern world, but along with the good, there will inevitably be negative consequences.
0 Comments
Leave a Reply. |