In the age old battle of man vs. machine there have been countless contests of whether a machine can complete a "human" task. One of the biggest competitions of our time is "Can Gen. AI write as well as a human?" and the answer may be different than you would think.
Aaron Milner is a Software Engineer and a current Student at Northern Kentucky University studying Software Engineering, Artificial Intelligence, and Philosophy.
Aaron has experience both in academic and professional settings working with emerging technology and artificial intelligence.
Project Overview and Objective
The goal of this project is to both inform about and assess Gen. AI's ability to participate in creative writing and compare its output to that created by humans. The assessment is conducted via a modified "Turing Test" to see if readers are able to differentiate between human and AI writers.
Anyone is welcome to take the test and the link to the form can be found under the "Take the Test" tab. The first page of the test will explain the process and rules. If you are interested in learning more about the subject, information can be found under the "Learn About the Subject" tab.
There are several guiding questions that the project is aimed at answering.
Question 1: “Can Gen. AI write as well as a human?”
Question 2: “Is the Turing Test still a relevant test of AI intelligence?”