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Question: Please write this in human form This week’s topic was one that really made me pause and reflect. We talked about Ethical AI and Responsible Computing—big words, yes, but honestly, very real and very necessary. I used to think that as long as technology helped people, it was automatically a good thing. But now I see that even helpful tools can cause harm if we’re not careful. AI systems, for example, are only as fair as the data we feed them. If that data is biased, the results will be too—whether it’s a job application being rejected unfairly or someone being misidentified in a facial recognition scan. It’s scary when you think about it. What really stuck with me this week is how important it is to ask questions. Who is being included in the design process? Who might be left out? What could go wrong? These aren’t just extra steps—they’re essential if we want to build tech that’s fair and safe for everyone. I also thought about how easy it is to ignore the ethical side of things when you’re focused on getting a system to “work.” But just because something functions doesn’t mean it’s right. This reminded me that as someone going into the tech field, I need to pay attention to more than just the technical stuff. I need to think about people, privacy, fairness, and impact. This week’s lecture honestly changed the way I look at technology. It reminded me that as excited as I am about the future of AI, I also have a responsibility to use what I build in a way that helps—not harms. I want to be someone who creates with purpose, asks the tough questions, and always keeps ethics in mind. Here’s a great article I came across if you're interested in reading more: Why Ethical AI Matters – World Economic Forum
This week's topic really made me pause and think deeply. We discussed Ethical AI and Responsible Computing. These might sound like big concepts, but they are incredibly important and needed in our world today. I used to believe that if technology helped people, it was inherently good. However, I've come to realize that even helpful tools can cause harm if we’re not careful. AI systems, for instance, are only as fair as the data they are trained on. If the data contains biases, the AI's decisions will be biased as well. This can lead to unfair outcomes, like someone’s job application being rejected unjustly or someone being wrongly identified by facial recognition software. It’s quite alarming when you think about it. What really stuck with me is the importance of asking questions: Who is part of the design process? Who might be left out? What could go wrong? These questions aren’t just additional steps; they are crucial in ensuring that the technology we build is fair and safe for everyone. I also realized how easy it is to ignore the ethical aspects when focused on making a system work. Just because something functions correctly doesn’t mean it's right. It reinforced the idea that as I enter the tech field, I need to consider more than just the technical aspects. I need to think about people, privacy, fairness, and the overall impact. This week's lecture changed the way I view technology. It reminded me that while I am excited about the future of AI, I also have a responsibility to ensure that what I create is beneficial, not harmful. I want to be someone who designs with intention, asks the difficult questions, and always keeps ethics in mind. If you’re interested in learning more, I found a great article: [Why Ethical AI Matters – World Economic Forum](https://www.weforum.org/agenda/2021/05/why-ethical-ai-matters/).
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