On this bingecast archive episode of Mind Matters News, guest host Pat Flynn welcomes Dr. Winston Ewert to the show to discuss Ewert’s chapter in the volume Minding the Brain.
In his contribution, titled “The Human Mind’s Sophisticated Algorithm and Its Implications,” Dr. Ewert argues that the human mind’s problem-solving cognition can be modeled as a sophisticated algorithm. Ewert explains that any cognitive task can be expressed as a version of the halting problem from computer science, where an algorithm either halts or continues infinitely. He suggests that humans are able to solve a large and sophisticated subset of these problems, but are limited in the same way that no algorithm can solve all halting problems. Ewert contends that this algorithmic view of human cognition has implications that challenge reductive materialist and neo-Darwinian views, despite resistance from some thinkers who believe human abilities transcend any algorithm.
While the risk of AI becoming smarter than humans and taking over the world is often discussed, it can also distract us from a more pressing matter: the real-world, right-now risks of AI. On this episode of Mind Matters News, host Robert J. Marks continues his six-part conversation with Dr. Donald Wunsch about his expert insight into AI. In this Read More ›
Today, we hear from Discovery Institute Senior Fellow, podcaster, and writer Andrew McDiarmid as he chats with In The Market radio host Janet Parshall about the dangers associated with humans having relationships with AI. The discussion focuses on what McDiarmid calls “relational AI” – AI chatbots and assistants that aim to mimic human interactions and relationships. McDiarmid discusses how relational AI can Read More ›
On this episode of Mind Matters News, guest host Pat Flynn concludes a conversation with Dr. Winston Ewert about his contribution to the recent volume Minding the Brain. This segment explores the implications of the view that human cognition can be reduced to a sophisticated algorithm, as Ewert argues. Ewert contends that an algorithm can only construct an algorithm less sophisticated than Read More ›
On this episode of Mind Matters News, guest host Pat Flynn begins a conversation with Dr. Winston Ewert about Ewert’s chapter in the recent volume Minding the Brain. In his contribution, titled “The Human Mind’s Sophisticated Algorithm and Its Implications,” Dr. Ewert argues that the human mind’s problem-solving cognition can be modeled as a sophisticated algorithm. Ewert explains that any cognitive task Read More ›
Could AI explicate aspects of my personality, package it, and sell it to the other representative bots in the dating pool? Sure, but where is the humanity?
On this episode, host Pat Flynn continues his conversation with Dr. Selmer Bringsjord about his chapter in the recent volume Minding the Brain, titled “Mathematical Objects Are Non-Physical, so We Are Too.” The discussion focuses on the first part of the argument, which asserts that mathematical objects are non-physical. Bringsjord explains that formal thinking, such as understanding algorithms, cannot be fully determined Read More ›
To some extent, ChatGPT is a newer, easier-to-use interface than Google. Unlike Google, it doesn’t make you waste time by visiting those pesky websites. It not only looks into its database for content, but it also summarizes it for you as paragraphs. There is a problem lurking in there, however. Being computers, neither Google nor ChatGPT cares about the truth. They are algorithms, and they merely do as they are told. Additionally, you can’t code the human mind into algorithms. However, there is a fundamental difference between what ChatGPT does and what Google does that will prevent content generators like ChatGPT from displacing search engines like Google: Google eventually lets you out of its system. Ultimately, the goal of search Read More ›
Can artificial intelligence algorithms prove Darwinian evolution? Why won’t some scientists admit the design inherent in evolutionary computing? Do random processes disprove intelligent design? Dr. Michael Egnor discusses evolutionary computing, the no free lunch theorem, and the role of purpose in chance with Dr. Robert J. Marks. Show Notes Additional Resources
Those dealing with data must always remember “If you torture data long enough, it will confess to anything.” The answers that computers give must themselves be questioned. Robert J. Marks and Gary Smith address artificial intelligence, spurious correlations, and data research on Mind Matters. Show Notes 01:34 | Introduction to Gary Smith, the Fletcher Jones Professor of Economics at Pomona Read More ›
