Robert J. Marks: We have a number of aspects that we exhibit that are not algorithmic. I would say, qualia, creativity, sentience, consciousness are probably things that you cannot write a computer program to simulate.
The neat thing about machine learning is that the algorithm can extract general principles from the dataset that can then be applied to new problems. It is like the story that Newton observed an apple fall and then derived from it the general law of gravity that applies to the entire universe.
Technology has almost entirely replaced the travel agent as well as many brick and mortar stores. But high tech tools like bots are replacing employment in, of all places, accounting. Show Notes 01:30 | Introduction; Jeremiah Marks 02:00 | Forbes and AI accounting prime time 03:00 | What is Mint? 04:48 | Natural language recognition in accounting 06:15 | What Read More ›
Because Machine Learning is opaque—even experts cannot clearly explain how a system arrived at a conclusion—we treat it as magic. Therefore, we should mistrust the systems until proven innocent (and correct).
Technology is vital in commerce and war. Corporations spend billions in development and don’t want to get ripped off. Technology and AI, more than ever, determine military superiority. What are the laws that protect technology and how are they enforced? Show Notes 01:20 | Introduction; Daniel M. Ogden, J.D. 03:06 | Reasons for protected technology 04:00 | Determining what needs Read More ›
Google is one of the most widely misunderstood success stories of our time. Many of us equate Google with “Big Data,” that is, amassing huge quantities of data and then finding useful statistical patterns. But is that how it succeeded? In Life after Google: The Fall of Big Data and the Rise of the Blockchain Economy, George Gilder criticizes Google primarily on two fronts: First, it is a “walled garden,” a great platform, but inherently isolated and closed. That is a point worth exploring, but not the focus here. The second point, the one I want to touch on, is that Big Data’s day has come and gone. Because Google is a Big Data company, its brightest days are behind it. Read More ›
Recently, Robert J. Marks, director of the Walter Bradley Center for Natural and Artificial Intelligence, sat down with radio host and author Michael Medved to help sort through the confusion about what artificial intelligence can and can’t do, now and in the future. Read More ›
While we are seeing some pushback against the movement to “algorithmicize” everything, few lay out explicitly the limitations as well as the benefits of the algorithms increasingly used to make decisions. Read More ›
AI can do many things faster and better than humans. It can beat humans in chess, outsmart us in Jeopardy, and defeat us at GO. The question remains. Is there anything a human can (and always will) do better than an AI? Show Notes 01:00 | Eric Holloway Introduction 01:57 | Fold It, a showdown between AI and amateurs 03:40 | Jay Read More ›