The Age of Algorithms and Algorithmic Bias: Pros of Search Algorithms, executive report submitted as part of a group project for LIS7530: Web Design and Accessibility, course completed Fall 2021.

 

After completing LIS7963: Information Ethics and Algorithmic Bias during the summer of 2020, I was interested in looking at the issue of algorithmic bias in a new light: by examining the benefits that come with the use of search algorithms rather than dangers. The majority of my previous class focused on the risks of algorithmic bias, so turning my thinking into investigating the positive attributes of search algorithms was an interesting exercise. I signed up for the group panel that would address the age of algorithms and algorithmic bias and volunteered to look at the positive side for our research and presentation. The artifact that I've chosen to include is my executive report from this panel, which can be read it its entirety down below. 

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The SLOs addressed through this process include SLO 2: Through understanding the relationships among information, people, and technology, apply library and information science principles and practices; SLO 4: Apply research knowledge and skills to improve practice, critically evaluate the works of others, and answer questions in the profession; SLO 6: Critically analyze, select, use, apply, and evaluate technologies in the information environment; and SLO 7: Understand issues of power, privilege, and marginalization in society and how they relate to the library and information professions. 

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I addressed SLO 2 and 7 by looking at the different ways that search algorithms can impact users. The primary benefit of search algorithms is the time saved by users, but the issues that can come from the misuse of algorithms can primarily be connected to human error. Libraries exist in a unique position to help inform the public about best practices when using search algorithms. In addressing SLO 4 and SLO 6, I built upon my previous knowledge of issues in search algorithms to find the opposite perspective and find ways to address concerns surrounding algorithmic bias. By using a new perspective on this issue, I have a more complete understanding of the ways that technologies, such as search algorithms,  can be used, taught about, and how to acknowledge that in the LIS profession, we have the opportunity to add into the conversation around technology and create opportunities to help support the public in their pursuit of knowledge. Additionally, LIS professionals can offer opportunities to enhance user knowledge for those interested in exploring topics such as algorithmic bias through programs and outreach.