Facts vs. intuition. Man vs. machine. Algorithms vs. emotions. When we’re given the choice of trusting another person’s conclusions, or our own guesses, or accepting facts as based on algorithmically analyzed data, most of us tend to trust the human more. But that’s not always the best choice. In a recent interview on the Knowledge at Wharton show on Wharton Business Radio on SiriusXM channel 111 , Wharton practice professor of operations and information management Cade Massey and Wharton doctoral student Berkeley Dietvorst explain what their research —  “ Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err,” which was co-authored with Wharton operations and information management professor Joseph Simmons — revealed about the biases hiding in our decision-making, and why we’re so reluctant to trust computer-generated answers if the machine has ever been less than perfect — even though our own record is even worse.  An edited transcript of the conversation appears below.…