The Great Hack Reflection
My reflection about the movie, The Great Hack woke me up to how careful we need to be with links online. One click can risk our privacy, identity, or even just our whole account will he stolen. So we need to remember always to check our surroundings when we are online. Another thing I learned was that the microphone of our mobile devices may actually be listening to our conversations; everything we do location, searches, or conversations is collected in real-time and sold to big corporations, who then take part in the trillion-dollar data industry. So with the help of this documentary it has opened my eyes to the powerful and dangerous capabilities of data in today's digital world. Every click, every like, or even the length of time we hover over a post is tracked and analyzed to define our predictive behavior pattern. Then that can be used to influence the choice before we even realize it. It was so particularly horrified by the way the companies like Cambridge Analytica gathered personal data without any rights to influence elections, making one realize the ease with which opinions and decisions are swayed online. It is so scary to realize that some apps may be secretly hearing or gathering data from us incomplete permission, and all these things can be sold to advertisers or businesses, targeting us directly by specific content. Because of this documentary it makes me realize that we need to little control when we have on the internet and how easily our digital footprint can turn against us. So that's my biggest reason why I need too much aware now in using internet or website, and I always put in my mind to check the privacy policies and permissions apps ask for so before I install or use them so that I will protect my privacy. I also realized not to click random links or fill out online games because I always saw this message "claim your reward" so those things might be traps for collecting personal information. So for my overall, the documentary The Great Hack has opened my eyes and made me understand that data is the new currency-it is powerful, valuable, and dangerous if we don't wise using the internet it cause regret at the end and realize how to used it. We live in a digital age where people's personal information is constantly being collected, so one should be more responsible, alert, and intelligent in managing their privacy and safe use of the internet.
Webinar Reflection
My reflection on the iLead-CS 2025 webinar I really appreciate for all the speakers it explained well especially the Philippine speaker. However, Dr. Sandhya Madhuri from India really interested me. I was interested in her topic, which included the real-time data management and processing, that it means data is handled while it is happening. She also mentioned data that comes in continuously and has to be processed in a timely manner, for example, online banking, live traffic updates, or social networking. Another point that interested me is when she explained how such a setup works without actually storing all the data, implying it is fast and efficient. This made me realize how fast technological changes are and how many of our lives now depend on systems that can perform well, even we have others task to do. She also mentioned that the patterns or behaviors in the data can sometimes change suddenly, and the system has to keep learning and modifying itself, almost the same way I learn from some new experiences. Because of the webinar I know that the systems had to be that smart, and now I appreciate more how complicated and advanced they are.
In Another part of her discussion that I found and I said that in my self I think this discussion is interesting so when I know it quite eye-opening was something about federated learning so I listen to her discussion while talking. At first, I thought it hard to understand on what it means, but the way she explained it made it easy to understand. Usually in technology, different copies of information are collected from different users and sent to one place for analysis. But I learned in federated learning, the system stays on each user's device, only sending updates or improvements to the main server instead of gathering all the information together at one place. In this way, personal information is kept private and safe. She also mentioned that Google is currently using this method in mobile applications, for example in auto-correcting things one gets to type without looking at personal messages within it. Now I really got the example. She also told me how these devices, such as our phones or laptops, learn out by themselves and then share their results-not the actual data-with the central system. I also learned words like "local" and "global" models, which basically mean the localized learning that occurs in each device and the combined effect of all the devices coming together. She also mentioned that such systems work in rounds or cycles, which means it would repeat several times until the process would get better. This is what I realized: this type of working is intelligent, secure, and all padded to keep every third person safe while improvements are made to applications and services.
I mean, that example has been a great help, really. She also told me how these devices, like our phones or laptops, learn on their own and then share just the results-not the actual data-with the central system. I learned new words like "local" and "global" model, meaning really, some learning small in each device, and then the final result of all devices at work. She also said that this kind of system works in rounds or cycles, which means the process is repeated several times until it gets better. I have come to realize that this type of doing things is great, secure, and all padded to keep safe every other person while improvement is made in the applications and services. What really moved me from her talk was how this learned method is very effective in keeping the safety of online security. I realized that actual data never leave the user's device even you delete some data, there is a small chance of data being stolen or leaked. So, even our device has been hacked, the rest will stay perfectly protected. All we know that nowadays have many online threats. I also learned that this method can work for millions of devices at the same time, which makes this very adaptive and useful for big companies. Apart from this, it's also reducing the internet consumption because not every data is being sent back and forth. Another thing I liked was the fair results it is producing because the system learns itself with many diverse users instead of just one datatype.
Overall, I realized that technology have less bias and more inclusive. I never think of those things before, but because of the webinar I realize how valuable and useful they are not only for engineers or programmers, but even for normal people like me and us who interact with technology on a daily basis. I also understand that federated learning not only secures our data, but it also makes the systems smarter by learning from a small set of users coming from different locations, backgrounds, and devices. All we know that it extremely significant in today's world where everybody utilizes technology uniquely. So for all understanding, we not only protecting the people's privacy, but we also create better tools for everyone. Attending at the webinar in the zoom meeting made knowledgeable after we out at the AVR, I really understood of how technology and privacy can exist, and it motivated me to learn more about how systems can be constructed in safer and smarter manners. I'm really thankful to the speaker Dr. Madhuri, because she made her presentation clear and interesting, and I wanted to learn more about things like data, security on the internet, and how we can responsibly use technology. It reminded me that one day I would like to be a person like her to designs and safeguards our systems.
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