https://techcrunch.com/2022/01/28/causalens-gets-45m-for-no-code-technology-that-introduces-cause-and-effect-into-ai-decision-making/

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 to use to introduce more nuance, reasoning and cause-and-effect sensibility into an AI-based system — which it believes can solve this problem.

CausaLens’s aim, CEO and co-founder Darko Matovski said, is for AI “to start to understand the world as humans understand it.”