If there’s something interesting about learning with new AI apps and learning the topic about facial recognition. I noticed two things:
- Learning with a brand new AI app you never used before becomes more learn-able the more you experiment.
When it comes to AI, we are all very familiar with ChatGPT. How it’s just there in public. Considering that it can give you answers, all the answers are generated. Which leads me to my thought on another AI I’m newly using, NotebookLM. The idea of NotebookLM is that it imports resources based on what you need to know like ‘how does AI affect the Environment’. Next you can ask for a report based on how you ask it to make it; giving you a clean, shorten summary from the amount of resources into a couple of pages in relation of the topic. NotebookLM is a great resource for student needing research, while ChatGPT just generates answers that it thinks is what you wanna hear.
- Facial Recognition and how it affects the environment.
During class, as I was working with my group, we were talking about AI facial recognition. Knowing that there are different aspects in relations of facial recognition like how it relates to police work or how it affects the environment. I, as a student majoring in environmental studies want to learn more about the environmental aspect of facial recognition. From what I gained from NotebookLM the environmental aspect of AI face recognition is that considering that facial recognition is a valuable tool, however, we should be required to be cautious care and transparent for its potential impact. The consequence of facial recognition can lead to mis-recognizing people’s faces based on race and gender bias. This can also cause false accusation of the wrong people in traveling and law enforcement. I have also learned that there is a surveillance paradox, such as biometric passwords. It is unchangeable, therefore can possibly increase the risk of identity theft. In short, facial recognition doesn’t just affect people of race and gender, it also affects the systems of law enforcements, traveling, and identity on the internet. Which also leads, to companies are in charge of AI would be dealing with serious charges and penalties based on the actions of facial recognition that the people won’t abide.