Causality Link

lieve that long term success in AI and Machine Learning requires a balance of human and machine collaboration that leverages the strongest qualities in both. Collecting enormous quantities of data and making mysterious predictions won’t satisfy the demands of systems that continuously evolve. Instead, our choices and decisions must rely on explicit knowledge, causation and not correlation, and transparency to explain rationale. Merging this explicit AI with the mathematical power of predictive analytics and enabling experts to complement or contradict the resulting big-picture knowledge is the path to deliver our vision.