Click here to access original source Author: Caleb J. Colon-Rodriguez Publisher: US Department of Health and Human Services; Office of Minority Health Year: 2023 Summary: This article discusses the potential causes and costs of algorithmic…
Click here to access original source Author: Michael D. Abramoff et al Publisher: Nature Year: 2023 Summary: One interesting takeaway from this article is the Total Product Lifecycle (TPLC) approach, a fundamental framework for addressing…
Author: Will Douglas Heaven; Publisher: MIT Technology Review; Publication Year: 2021. The following article discusses how it is a known fact that biased algorithms affect automatic decision-making processes. To fix this problem, many researchers and…
Author: Vivek Katial; Publisher: Multitudes; Publication Year: N/A. The following article starts by introducing the profound effect that algorithms and, in particular, decisions from algorithms have on our life today. The author goes on to…
Author: Vince Lynch; Publisher: TechCrunch+; Publication Year: 2018. The following article discusses how bias in artificial intelligence (AI) can cause problems both because AI outputs are often blindly trusted, so any missed human bias could…
Author: Vidhi Chugh; Publisher: Medium; Publication Year: 2021. The following article describes how as a data scientist, if you want the product you are working on to be “[artificial intelligence (AI)] for good,” then it…
Author: N/A; Publisher: United Nations News; Publication Year: 2020. The following article discusses how artificial intelligence (AI) development is especially problematic for countries where governments do not have the ability to effectively regulate consumer privacy…
Author: N/A; Publisher: TRT World; Publication Year: 2018. The following video discusses how because algorithms are written by humans, they are not any more objective than we are. Some examples of algorithmic bias include: Amazon’s…
Author: Tony Sun, Andrew Gaut, Shirlyn Tang, et al.; Publisher: Arxiv; Publication Year: N/A. The following article discusses how despite their success in modeling various applications, natural language processing (NLP) models propagate and may even…