CausaLens gets $45M for no-code technology that introduces cause and effect into AI decision making – TechCrunch

One of the most popular applications of artificial intelligence to date has been to use it to predict things, using algorithms trained with historical data to determine a future outcome. But popularity doesn’t always mean success: predictive AI leaves out a lot of the nuance, context and cause-and-effect reasoning that goes into an outcome; and as some have pointed out (and as we have seen), this means that sometimes the “logical” answers produced by predictive AI can prove disastrous. A startup called causaLens has developed causal inference technology — presented as a no-code tool that doesn’t require a data scientist

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