Dear Terry,
Thanks for your reply. There is too much to read to permit a real response.
What I see as the main difference in our view is simple. It’s a difference over what the machines do as against what the humans do. I’m not saying human beings make these decisions as well when guided only by intuition and experience. Clearly, predictive modeling and machine learning inform better decisions. The difference between our viewpoints is that you seem to have asense that the machines do more than they do. It’s not unrelated to the question of whether computers can design.
My view is that human beings program and use these tools. Human experience and judgment is required to adapt and apply the information thatemerges every morning from those 60,000 overnight runs.
It seems to me that we are not disagreeing on the power and value of the models or predictions. I think we disagree on the role of human beings in the process.
Warm wishes,
Ken
Professor Ken Friedman, PhD, DSc (hc), FDRS | University Distinguished Professor | Swinburne University of Technology | Melbourne, Australia | [log in to unmask] | Phone +61 3 9214 6102 | http://www.swinburne.edu.au/design
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