A long time interest. To what degree and under what conditions do people trust machines? Our early look at automated marketing engines gave a different view. Here in Knowledge@Wharton. A key issue for advisory systems. Podcast and Transcript:
" ... 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@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 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. ... "
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