Algorithms can influence decision-making about college admissions, healthcare, criminal justice, legal, housing, and much more. It is important to recognize that there are problems in the way algorithms can incorporate existing human biases and magnify them through Artificial Intelligence and machine learning. On this episode of Information Literacy, moderated by Lilian Hill, we’re going to explore algorithms and the social implications of facial recognition through use of Artificial Intelligence and machine learning. Join in the online forum.
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References
Algorithm Justice League. Retrieved https://www.ajl.org/about
Data, Algorithms, and Social Justice. Retrieved https://www.socialdifference.columbia.edu/projects-/data-algorithms-and-social-justice
Harwell, D. (2019, December 19). AI's social justice problem: It's amplifying human bias. Retrieved https://www.washingtonpost.com/technology/2019/12/19/federal-study-confirms-racial-bias-many-facial-recognition-systems-casts-doubt-their-expanding-
Hiner, J. (2021, April 15). AI's social justice problem: It's amplifying human bias. Retrieved https://www.cnet.com/culture/ais-social-justice-problem-its-amplifying-human-bias/
O’Neill, C. (2017). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown Publishing Group.
