Deepfakes
Prior to this presentation, I had never heard of the term deepfake. But with generative AI becoming more and more advanced, the accuracy of deepfakes is a growing concern. What happens when you don't have a fan base as supportive as Taylor Swift or Billie Eilish? Or what happens when it happens to the average everyday citizen? The advancement of AI is positive in some ways, but I cannot imagine the impact of deepfakes in instances such as child custody battles.
It takes a diligent person to detect a deepfake. Unless you are familiar with a person, a deepfake image or video can be quite convincing. For example, I was able to detect the fake images of Taylor Swift and Billie Eilish, but not the video of Joe Burrow. A large part of this is that I am familiar with Taylor Swift and Billie Eilish's character, but not Joe Burrow's. So, a video of him explaining his displeasure with losing a game seemed valid. I would never have thought about the questionable video quality, the lack of emotion, or the impact that such statements would have had on his career. 
In knowing that I could even be impacted by such advancements of AI, it is that much more important to exercise caution with information that I share publicly. For example, setting my accounts to private, only accepting friend requests from people I know, and limiting the amount of photos of myself that are online. I believe that these tips are useful, even if you are not the target of deepfakes because it allows for you to practice internet safety.
I think the scariest part of deepfakes, is that the people who create them have no care for how it will impact another's reputation. In today's age you must exercise caution trusting even what you see with your own eyes.
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