Author: Satish Gattadahalli; Publisher: STAT; Publication Year: 2020. The following article talks about the usage of artificial intelligence (AI) in health care which raises ethical issues that are paramount and fundamental in order to avoid harming patients, creating liability for health care providers, and undermining public trust in these technologies. The article talks about why AI bias should not be overlooked. Although…
Author: Pedro Saleiro; Publisher: Feedzai; Publication Year: 2020. The following document discusses how recent events pushed organizations and individuals to push back against biases in financial institutes. In the digital age, however, it is not sufficient to address biases caused by humans but should also look into artificial intelligence. The author suggests 4 key takeaways for financial institutes in order to prevent…
Author: Nivash Jeevanandam; Publisher: India AI; Publication Year: 2022. The following article provides a list and brief summary of eight books that address AI ethics and bias…
Author: Kelsey Campbell; Publisher: Gay TA Science; Publication Year: 2021. In the following talk, Kelsey explains how the cissexism present in society today impacts data science as a field. They give examples from real-life on cissexism’s impact. For example, facial recognition technology has caused several issues for trans people. A trans person’s appearance may change over time, so an algorithm that relies on a static picture of…
Author: Kathleen Walch, Ronald Schmelzer; Publisher: AI & Data Today; Publication Year: N/A. The following podcast focusses on how building frameworks can help avoid the pitfalls associated with bias and fairness in artificial intelligence (AI). Unchecked, we could use algorithms to reinforce biases in the real world. Inclusivity is key: build your algorithms with the target audience in mind, but mind your edge cases as people are not one-size fits…
Author: Karen Hao; Publisher: MIT Technology Review; Publication Year: 2019. The following article describes how people may have seen personalized Facebook advertisements on their feed. As it turns out, that algorithm, based on machine learning, is discriminatory. It locates patterns within data and re-applies them to make decisions, allowing bias to enter the equation. This can happen when, for example, the algorithm…
Author: Joy Buolamwini, Aaina Agarwal, and Sasha Costanza-Chock; Publisher: The Medium; Publication Year: 2020. The following article applauds IBM for the decision to restrict sales of facial recognition technology in response to bias and abuse. It’s an example of a company genuinely, if belatedly, demonstrating a commitment to basic artificial intelligence ethics. The article calls on more tech companies to do the same, as well as for companies to commit…
Author: Joy Buolamwini; Publisher: The Algorithmic Justice League; Publication Year: N/A. The following group is an organization that addresses the social implications and harms of artificial intelligence (AI) by raising public awareness about the impacts of AI and work with advocates and communities to mitigate AI bias and harms. They look at equitable and accountable AI, and are focused on human rights and harms caused by AI. Their values…
Author: John P. Mello Jr.; Publisher: Tech News World; Publication Year: 2022. The following article discusses how bias in artificial intelligence (AI) systems can result in significant losses for companies, according to a new survey by an enterprise AI company. Approximately 1 in 3 companies (36 percent) revealed they had suffered losses due to AI bias in one or several algorithms. Of the companies damaged by AI bias, almost…
Author: Jessica Davis; Publisher: Information Week; Publication Year: 2022. The following article discusses how artificial intelligence (AI) bias is a relatively new phenomenon that has serious implications. Among organizations that experienced negative AI bias, 62% lost revenue and 61% lost customers. This illustrates how businesses need to address AI bias, not only for ethical/moral reasons, but for business reasons as well…