Algorithms and the Social Implications of Facial Recognition

Information Literacy 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 the use of Artificial Intelligence (AI) and machine learning. Listen to the episode and join in the online forum. 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.

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