Bank of America Corp. has begun using artificial intelligence to predict the likelihood of companies defaulting on loans. "Today we present our inaugural work on applying the latest machine learning tools to analyzing the credit risk," Bank of America credit strategists Oleg Melentyev and Eric Yu and head of predictive analytics Toby Wade said in a research note Friday. They have started using natural language processing to digest earnings-calls transcripts in order to estimate companies' probability of default over the next 12 months. In expanding their default model with the help of AI, the credit strategists seek to detect language used by chief executive officers and chief financial officers that signals a company's high likelihood of default. Phrases that link to defaulting include cost cutting, asset sales, and cash burn, they said.