My attitude toward emerging technologies continues to evolve, shifting from curiosity and excitement to a more intentional and ethically informed mindset. Early in my professional and academic experiences, I viewed new technology as inherently positive – something to adopt quickly because it represented progress, efficiency, or modernization. Like many early adopters described in innovation diffusion theory, I use to believe implementing new tools demonstrated forward thinking and adaptability. However, experience has reshaped that perspective. As artificial intelligence (AI), machine learning, automation, and large-scale data systems entered education and behavioral fields, I began questioning not only what technology could do but also whether it should do certain things. Today, instead of adopting technology simply because it is innovative, I evaluate whether it aligns with meaningful goals, human-centered learning values, and long-term societal implications (Davenport & Ro...