Update | Artificial intelligence bot beats humans at reading in a first for machines
A deep neural network model developed by Alibaba has scored higher than humans in a reading comprehension test, paving the way for bots to replace people in customer service jobs
The AI research arm of China’s biggest online commerce company developed a machine-learning model that scored higher on the Stanford Question Answering Dataset, a large-scale reading comprehension test with more than 100,000 questions, according to a release by the company.
On January 11, Alibaba’s machine-learning models scored 82.44 on the test, compared with 82.304 by humans.
While computers have beaten humans at complex games like chess, where raw computing power and an infallible memory have given bots an advantage, languages are generally seen as harder for machines to master. Until now.
The win has broader implications for how companies deploy machine learning to replace customer service jobs that have so far relied on armies of call-centre employees to handle inquiries.
Si Luo, a chief scientist of natural language processing at Alibaba’s research arm, said the recent breakthrough means that questions such as “what causes rain?” can now be answered with a high level of accuracy by machines.