An Opinion Editorial from Jorge D. Faccinetti – Co-founder and Chief Editor – In today’s publishing landscape, one thing is clear: artificial intelligence and machine learning are advancing at dizzying speeds. Keeping up with these developments and understanding their true impact on our work and lives has become increasingly challenging. AI platforms emerge seemingly overnight, making it daunting to predict where this technology is heading.
Case in point: A few days ago, one of Dr. Blevins’ patients discovered a podcast in a Facebook patient group. Another patient had used a well-known AI platform to analyze one of Dr. Blevins’ recently published papers on PWN, creating what appeared to be AI-generated, or “deep fake” as its lovingly known, content based on the paper.
I’ll admit my initial reaction was one of concern. To say it disturbed me would be an understatement. However, after discussing the situation with Dr. Blevins and listening to the podcast myself, I began to understand the patient’s motivation. The AI engine had done a reasonably accurate job of translating complex medical information into plain language. The patient’s goal was simple: make this important content more accessible to fellow group members who might struggle with technical medical terminology.
Dr. Blevins reviewed the AI-modified content and confirmed its accuracy, acknowledging that the platform successfully transformed his academic paper into understandable language. I remain guarded about such applications since I think the potential for misinformation, if not properly vetted, is abysmal.
I won’t delve into the numerous copyright law violations this practice presents. That’s a discussion for another time. For now, the key issue seems to be transparency: if content is clearly identified as AI-modified, the focus shifts to ensuring the information remains factual, accurate, and scientifically sound.
Our friend and fellow patient Jay Libove, a technology and cybersecurity expert who has previously contributed insights to PWN, offered valuable perspective on this topic’s pros, cons, and relevance to patient self-care. His commentary is worth reading alongside the original article and AI-generated podcast. Here’s a link to the podcasts and the article with Mr. Libove’s comments.
And please, be weary of AI-generated content of this nature. Not all of it is factual or trustworthy. When you see one of these and you suspect it may be modified or generated by an AI platform, approach it skeptically, especially if it doesn’t clearly identify itself as generated by AI. Always verify the source. If you can validate that the source is reliable and science-based, you can place some trust in the content. Otherwise, run as far as you can from it, or, I would recommend, avoid it entirely.
We published the AI podcast several days ago so you can see for yourself. We welcome your thoughts and opinions, and as always, please send comments to info@pituitaryworldnews.com or respond directly to the article.
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