https://orcid.org/0000-0002-9097-2246
1. In today’s fast-paced world where AI is just leaping fast and paced, it has indeed transformed how we access information. With the rise of large language models (LLMs) like ChatGPT, we can get answers in an instant, but here's the catch: these answers often come without clear explanations. Unlike traditional sources, which often provide a breakdown of reasoning, AI responses can feel like answers pulled out of thin air—answers that may or may not be rooted in transparent logic or trustworthy data.
2. This lack of explanation is a key issue we need to be deliberate about. AI models are powerful tools, but they can be "black boxes" that offer insights without revealing how they reached those conclusions. While they might give us the right answers at times, we can't always know whether those answers are accurate, biased, or incomplete.
3. We must develop a discerning mindset. Before believing a response, we should pause and think: What made this AI say this? What data is it based on? Without such understanding, we risk accepting incomplete or even biased information as fact.
4. The field of Explainable AI (XAI) is working to improve this transparency, but we aren’t there yet. Until then, it's vital to approach AI responses cautiously. Use them as a tool for information, but always cross-check, dig deeper, and be skeptical when the reasoning behind a response isn’t clear.
5. In short, in a world where information flows faster than ever, let's not forget the importance of deliberate thinking before we believe. Information without explanation is information that demands a second look.
