This experience got me to reason differently regarding my approach to research and writing. Initially, the idea of writing a blog post with the assistance of AI seemed effective and useful. It has promptly generated a systematic answer to the impact of social media on mental health, which can be handy when attempting to arrange ideas in a systematic manner. Nevertheless, when I started my editing/revision phase, I understood that I should not take AI as it is as so significant.
Among the most significant lessons that I have learned, it is important to note that AI-generated content may sound correct and refined, yet it still has to be reviewed. I was forced to revisit and confirm facts, rectify generalizations and ensure that the assertions were backed by reputable sources. Incorporating links to such organizations as CDC, Mayo Clinic, and APA helped to confirm the significance of basing information on the credible research rather than on the information that was created at the first instance.
It was also significant to rewrite the post in my own voice. It has made the content more realistic and closer to my point of view. I observed that AI uses a general and rather neutral tone, which is practical, and it does not completely represent personal experiences and understandings. The revision helped me to clarify the message and make it more meaningful.
All in all, this assignment demonstrated to me that AI could be a useful point of departure, but it is not to be used in place of critical thinking or personal input. It is rather a means to help in the process than to do all the work. Going forward, I believe the best solution is to have AI as a drafting assistant, but you remain in charge of accuracy, voice, and final content.
https://docs.google.com/document/d/14nfjLY2sf6wNY7D2RcLTMfy78tuAWTGfpREIiVK4SD0/edit?usp=sharing
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