The Artificial Philosophical Counselor: On the Possibility of Automating Philosophical Counseling

Till date most people still believe that compute grows exponentially in accordance with Moore’s law, meaning that computational capacity doubles approximately every 18 months. This, however, does not hold for Machine Learning. Since 2012, the computational capacity of Machine Learning has doubled every 3.4 months.1 Given this incredible growth rate we need to start considering whether Artificial Intelligence through the practice of Machine Learning will be able to automate the philosophical counseling profession. I will begin by giving an overview of AI and of GPT3 the AI model used in the experiments run for this paper. Next, I will define a job description for the philosophical counselor. Using GPT3 I will reveal that a surprising number of activities that are performed by philosophical counselors already fall under the purview of AI. I will also dedicate a segment to reflecting on the limits of the AIs capabilities and how with a bit of fine tuning some of these limitations can be overcome. Finally, I will present those limitations which I doubt that the current version of GPT3 can overcome.