Blog post 3

Written by Ebony Grier

July 18, 2026

Prior to reading “A Primer on Generative Artificial Intelligence,” I believed I had a solid understanding of how AI functions. I was obviously mistaken; I always understood that artificial intelligence was not always accurate and that since it was merely a bot rather than a human, it lacked the empathy and genuine compassion that humans possess. But I didn’t know about its training. I had no idea that it was based on patterns and how humans use AI to ask particular types of questions. It relies on patterns rather than memorization.

I usually use AI in my personal and professional life, as well as when I’m trying to begin a class assignment. For instance, I like using it to assist me in creating a budget when I go food shopping. If I had to go shopping every two weeks, I would be able to choose which grocery stores to shop at in order to save money and what kinds of things to purchase. I would also provide my budget amount and the size of my household. which, in my opinion, has been really beneficial and keeps me budget-conscious and organized.I also utilize AI to help me decorate my home that I recently moved into. I took a picture of my dining room and requested samples of modern, contemporary dining area designs that complement my home’s design as well as where to get specific décor. I usually use it to stay focused and organized at work and at my weekly meetings. AI is only used for brainstorming and assignment outline when I’m working on school tasks. I feel much more at ease now that I understand how AI operates since I know how to use it properly.

If I had to offer a client a straightforward explanation of how artificial intelligence might become really hallucinogenic, I would essentially remind them that just because AI answers all of your questions doesn’t mean it knows everything. Everything needs to be fact-checked, even if it seems right or is written with confidence and strength. AI is essentially a robot that has been trained to predict language, not necessarily the truth.

I would recommend mindfulness training if an agency were to put in place AI technology. It can assist in treating depression as well as reducing stress and anxiety. It enables therapists or clinicians to concentrate on more in-depth care. This produces the psychoeducation needed for the client to comprehend and act independently. By delivering daily relaxation reminders to the client’s phone via text, phone, or email, the AI tool can securely assist clients. Additionally, it can help clients with breathing exercises, grounding techniques (e.g., gripping or touching a stress ball or what is physically near the client at that time), and progressive muscular relaxation (e.g., clenching your wrists for five seconds, then relaxing and repeating).

Clearly informing clients that AI is being utilized for the specific section they are using while they wait for their therapist or clinician is one precaution I would request. In order to protect the agency legally and for educational purposes, I would suggest that the client sign a document attesting to their understanding.

When it comes to duties involving AI and humans, I would argue that low-risk tasks like scheduling, reminding people of appointments, and responding to frequently asked questions might be handled by AI since they don’t involve a lot of judgment or emotional intelligence. Leaving the more risky responsibilities for people, such suicide assessments, therapy, and diagnosis. Where it is necessary to apply ethics, comprehend context, emotions, and empathy. Moore et al. guided me in establishing limits because I am aware that AI cannot respond to mental health emergencies and cannot provide accurate information.

Throughout my career in the healthcare industry, I have witnessed numerous little errors that were overlooked. Checking patients in and out with accurate demographics while working at the front of scheduling can seriously disrupt the workflow for nurses and clinicians in the back. Even in the billing department, a patient’s insurance claims might be ruined by minor misunderstandings or inaccurate information. This demonstrates why humans should never be used in place of artificial intelligence. AI can be employed, but when it comes to updating and reviewing material and making final choices, people with training should always be the primary source.

 

References 

Kalota, F. (2024). A Primer on Generative Artificial Intelligence. Education Sciences, 14(2), 172. https://doi.org/10.3390/educsci14020172

Moore, J., Grabb, D., Agnew, W., Klyman, K., Chancellor, S., Ong, D. C., & Haber, N. (2025). Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers. Expressing Stigma and Inappropriate Responses Prevents LLMs From Safely Replacing Mental Health Providers., 599–627. https://doi.org/10.1145/3715275.3732039

 

2 Comments

  1. Bsummers7

    Hello Ebony,

    I felt that you explained how AI can be useful with limitations, while also being mindful of the risks that accompany relying on it solely. I had not considered the impact of mindfulness training in a professional setting when using AI. In addition, I believe you addressed the importance of human oversight while also confirming that AI can support clinicians and clients. As a result, I am rating your post a 9/10.

  2. Jontavynn S.

    Hi Ebony. Thank you for your blog post, I hope you’ve enjoyed writing them over this semester. I rate your post a 8/10. I believe your argument comes through clearly, as in AI is most useful in low-risk routine tasks, and humans are essential for high-risk tasks. I would love to know if you had any examples for AI failing in the way of high-risk tasks. Overall, I enjoyed reading, we made similar points in our posts.

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