In this module, I was able to gain a deeper understanding of algorithms and how they impact us daily. I wanted to disseminate what I learned to my peers so that they too can further understand algorithms and how they have many influences on our lives. My objectives for this module were to define algorithms, explain how black boxes and invisible fences play a role in algorithms, give positive and negative examples of algorithmic influence, and examine how they impact us overall. More importantly, I wanted to tie those concepts together to explain the significance of increasing ethics in biased algorithms, explain how algorithmic influences apply to our lives, and provide ways to reduce biased algorithms for the future.
In the end, I wanted to produce a detailed Google slides presentation that efficiently covered and explained my objectives. Utilizing a Google slides presentation allowed me to include essential information into my slides in a visually appealing way. In my Google slides presentation, I was also able to include a picture that enhanced my explanation about an imperative concept in my overall presentation, which were black box algorithms. Black box algorithms were an important component to the significance of my presentation because my overall goal is to find ways to decrease or eliminate discriminatory and biased algorithms. One of the main ways that we can do that is by having fewer black box algorithms that conceals or hides how the algorithmic data is being created. Having white box algorithms as opposed to black box algorithms will allow its users to have more transparent algorithmic data. This will allow us to discern how the information was gathered and calculated to produce its data. Furthermore, creating more transparent algorithms would help us to identify potential biases within the data, and therefore allow us to have the opportunity to acknowledge and remove it from algorithmic data.
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