Author: Cathy O’Neil; Publisher: TED Talks; Publication Year: 2017. The following video highlights the dangers of blind trust in algorithmic models. O’Neil suggests that algorithms are much less scientific and objectively truthful than commonly perceived.…
Author: Cathy O’Neil; Publisher: Slate; Publication Year: 2016. The following article discusses when deciding which variables to include in a model, some factors (race, etc.) can be easily excluded to ensure that racial bias in…
Author: Cansu Canca; Publisher: TEDx Talks; Publication Year: 2020. The following video discusses how AI and machine learning raise many serious ethical concerns regards many areas and some of those algorithms’ biases manipulate or reinforce…
Author: Brian Patrick Green; Publisher: Markkula Center for Applied Ethics, Santa Clara University; Publication Year: 2020. The following article discusses how AI and machine learning is transforming society. As these are emerging technologies, we are…
Author: Brian Christian; Publisher: W. W. Norton & Company; Publication Year: 2020. The following book focuses on word2vec, an algorithm from 2013 that allows for vector computation of words. That is, word2vec allows for computations…
Author: Brady Lund, Ting Wang; Publisher: Sciendo; Publication Year: 2020. The following article discusses the issues of bias in the data science world, however, it goes more in-depth and explains 5 different kinds of bias…