A discussion with Dr. Curry Guinn, UNCW Computer Science professor, who is a researcher, author, and expert in the field of AI.
Imagine a world in which every significant political, military, legal and economic decision is made not by human beings but by machines. We will allow these machines to possess awesome control of our economies and our lives because they will be demonstrably better than human beings at evaluating data, finding patterns, planning strategies, and executing solutions. These intelligent machines will make their decisions based on knowledge and problem-solving techniques that may be inaccessible and even incomprehensible to human beings. The technological singularity hypothesis stipulates that we will create synthetic minds that have more cognitive ability than humans do. In turn, these machines will be capable of creating even more advanced intelligent machines than themselves. In quick succession, there will be an explosive growth in artificial intelligence resulting in machines with exponentially more knowledge and problem-solving capability than human beings. If the technological singularity hypothesis is true, this future world is not millennia or centuries away; it will arrive in the coming decades and forever alter the course of humanity in ways that are unpredictable. Will this future be utopian or dystopian?
About the speaker:
Curry Guinn is a Professor in the Department of Computer Science at the University of North Carolina Wilmington. Curry joined UNCW in 2004 after working ten years as a research engineer at RTI International. He earned his M.S. and Ph.D. from Duke University and his B.S. from Virginia Tech. His research focuses on problems in artificial intelligence and natural language processing with an emphasis on spoken dialogue systems. His work has been funded by research grants and contracts from both government and commercial clients including U.S. Department of Defense, National Science Foundation, National Institute of Justice, National Institute of Health, Central Intelligence Agency, Environmental Protection Agency, Honeywell, IBM, Michelin, Lexxle, and John Deere.