Spoken word poem from Dr. Joy Buolamwini
Algorithms: “A wide range of technology that operates based on a set of instructions that can be followed step-by-step, using specific input, to arrive at a particular outcome. This includes everything from paper-based checklists to very complex machine learning applications.”
(Exploring Algorithmic Bias as a Policy Issue: A Teach-Out, Johns Hopkins University)
Algorithmic Bias: "computational discrimination whereby unfair outcomes privilege one arbitrary group of people over another" (Center for Critical Race + Digital Studies)
Algorithmic Justice: "The application of principles of social justice and applied ethics to the design, deployment, regulation, and ongoing use of algorithmic systems so that the potential for harm is reduced" (Head, Fister, and MacMillan, 2024).
Algorithmic Reparations: Drawing from intersectionality critical race theory, Davis, Williams, and Yang argue that we must "name, unmask, and undo allocative and representational harms as they materialize in sociotechnical form." They suggest algorithmic reparations as "a foundation for building, evaluating, and when necessary, omitting and eradicating machine learning systems" (2021).
Center for Critical Race+ Digital Studies. (n.d.). What is Algorithmic Bias? https://www.criticalracedigitalstudies.com/peoples-guide-posts/what-is-algorithmic-bias
Davis, J. L., Williams, A., & Yang, M. W. (2021). Algorithmic reparation. Big Data & Society, 8(2), 205395172110448. https://doi.org/10.1177/20539517211044808adjusting, and when necessary, omitting and eradicating machine learning systems."
Head, A. J., Fister, B., & Macmillan, M. (2024). Information literacy in the age of algorithms: Student experiences with news and information, and the need for change. LibreTexts. https://human.libretexts.org/Bookshelves/Research_and_Information_Literacy/Information_Literacy_in_the_Age_of_Algorithms_(Project_Information_Literacy)