About Artificial Inquiry
AI is happening whether we like it or not, but how we implement and respond to it isn’t set in stone. What we can do is pay attention, understand the patterns, and make better choices.
Artificial Inquiry is my attempt to add nuance, tangibility, and accessibility to the AI conversation as I try to make sense of this overwhelming and inevitable phenomenon myself.
This newsletter features my own experimentation with AI paired with critical analyses on these experiments, as well as my evolving views on AI through multidisciplinary analysis, drawing on policy, media studies, history, and personal experience to translate complex AI developments into concrete insights.
AI Policy & Workflow
Explicitly Attributed AI-Generated Content
When something is created entirely by AI or through a combination of different AI models with minimal guidance beyond prompting, copy editing, and formatting, I clearly attribute it, albeit with some humor. Examples of attributions I have used:
“Dr. Gemini, expert art historian”
“Chad Gépété, renowned photographer”
When I feature purely AI-generated content, I comment/critique it, whether in that post or a follow-up post. The comment/critique is 100% made by me. The goal of featuring AI-generated content is to show what AI can and can’t do, and also to learn.
Personal Essays & Opinion
In my essays and opinion, all arguments and perspectives are 100% mine. However, I do use AI as a tool to assist in the writing process. As part of AI transparency, I am explaining my workflow below.
Research Support
The main ways AI supports my research:
NotebookLM for integrating and mapping research
Deep research features in Gemini and ChatGPT as starting points
Grok for social media search (Twitter, Reddit discussions)
Important note: I never take AI research at face value. When something interesting emerges, I always check the sources, as I've found these tools sometimes misunderstand or misrepresent source material. I also supplement AI-assisted research with my investigation through academic sources, Google Scholar, and other primary materials.
Editing & Brainstorming
Editing: Most often, I will use ChatGPT and/or Claude for:
Feedback on essay drafts
Requests to counter my arguments or identify weak areas
Suggestions for additional research as needed
Grammatical and wording improvements
Creative Development: When I have a broad essay idea that isn’t fully formed, I ask AI to:
Ask me clarifying questions to help develop the concept
Suggest research directions to strengthen arguments
Identify potential counterpoints to consider
Provide back-and-forth feedback on my reasoning
Important Note: I don’t always implement AI recommendations. I also seek feedback from friends and family when available, using them in the same collaborative way.
Social Media
Promoting/summarizing posts for social media: I use LLMs to translate and adapt my essays when promoting and summarizing articles for different social media platforms—Twitter, Bluesky, LinkedIn, Instagram carousels, etc. Even then, I don't simply copy-paste; I edit the AI-generated adaptations. For Instagram, I create images using Canva to accompany the adapted text.
Non-Article-related posts: I write these 100% myself. The only AI involvement is when I'm promoting or summarizing articles for social media.
Images & Visual Content
AI-Generated Images: Used minimally and only for specific illustrations, and always explicitly credited.
Public Domain Images: My preferred approach. I enjoy discovering historical artwork and learning about different artists through public domain archives.
Attribution: All images include proper attribution to original sources and artists when known.
Follow Artificial Inquiry on social media
Twitter/x: @ArtificialInq
Bluesky: @ArtificialInquiry.bsky.social
Instagram: Artificial.Inquiry
LinkTree: linktr.ee/ArtificialInquiry
