One interesting fact I came across while reading Kyle McDonald’s lecture is that they found that just by simulating expressions of certain emotions, their bodies physiologically reacted as if they were truly experiencing those emotions. It goes to show that the phrase “fake it till you make it” really has some truth to it.

A link added in this lecture points to a Microsoft site which encourages users to submit facial data to enable “a seamless and highly secured user experience”. Allowing facial recognition and tracking is an interesting concept because while it does ease the use of certain technologies, it also enables the addition of a more diverse set of faces to a larger dataset, making the dataset more reliable and less biased. This is helpful for advancing inclusion of a wider range of faces which will then lower the discrimination which is currently of issue in many facial recognition softwares. However, there is also the issue where a lack of recognition can be helpful for people in situations such as policing. Having unbiased datasets for facial recognition is both a good and a bad thing depending on what the set is used for, so it is interesting to see arguments for both the benefits and disadvantages of a more advanced and robust dataset.