Resources that discuss opportunities for engaging in learning experiences and activities to encourage intellectual growth.
Author: N/A; Publisher: ParsonsTKO; Publication Year: 2021. The following video discusses how data storytelling is essential for any good data scientist. This makes it even more important for data scientists to be aware of privacy concerns, and avoid bias, and misinterpretation. This video includes panelists that all have expertise in the data ethics and regarding public relations. For example, if you publish a…
Author: N/A; Publisher: The University of Queensland; Publication Year: N/A. The following article is written for the University of Queensland in Australia, but the ethical principles outlined in the document are best practice for anyone who collects, maintains, and utilizes data. The first principle states that data usage must be defined, and a cost-benefit analysis must be done for individuals affected by the data. Likewise…
Author: Wenhong Chen, Anabel Quan-Haase; Publisher: Social Science Computer Review; Publication Year: 2018. The following article addresses new issues created by big data, such as biases, subjectivities, and forms of oppression. They define 4 major aspects of big data ethics and politics: 1). Potential biases in big data collection and interpretation, 2). Community and citizen concerns of big data (mis)use in public life and for journalistic purposes, 3). Media…
Author: Wendy Hui Kyong Chun; Publisher: MIT Press; Publication Year: 2021. The following book discusses the innate bias that comes from dirty data and how removing indicators of race will not remove bias from artificial intelligence. The author explains several concepts including: alternative algorithms, defaults, and interdisciplinary coalitions to foster more ethical/democratic data…
Author: Violeta Mezeklieva; Publisher: Open Data Institute; Publication Year: 2020. The following article is from the Open Data Institute and it highlights the experience that the author, Violeta Mezeklieva, has had over the past year on training people on data ethics and the insights that have been gleaned from that experience. She highlights that although it is her training all kinds of folks on the importance and the concepts of data ethics, it was her who really had an educational experience observing how much she has learned from the people who go through this sort of training. She starts out by saying she…
Author: Ville Vakkuri, Pekka Abrahamsson; Publisher: IEEE Xplore; Publication Year: 2018. The following article seeks to find out what the reoccurring themes are in artificial intelligence (AI) ethics discourse as a way of understanding the current state of AI ethics as well as determining a direction for AI ethics going forward by using these themes to create a framework. 1062 papers were analyzed and 37 reoccurring keywords words related to AI…
Author: Valerie Schneider; Publisher: Columbia Human Rights Law Review; Publication Year: 2020. The following article is a very granular deep dive into how artificial intelligence (AI) can lead to discrimination in housing and how this relates to Fair Housing Act “disparate impact” jurisprudence. The motivation for the article was a proposed rule from HUD that would have immunized landlords using algorithms from disparate impact fair housing claims…
Author: University of Edinburgh; Publisher: edX; Publication Year: N/A. The following online class was created by the University of Edinburgh which is available for free on edX. The course is 7-weeks long and requires only 3-4 hours of work per week, but the course covers a large variety of material relating to data ethics, artificial intelligence (AI), and responsible innovation. The course focuses on educating the student on…
Author: N/A; Publisher: UNESCO; Publication Year: 2023. The following article discusses how bias is very much prevalent in today’s artificial intelligence (AI)-systems shown through many examples. When searching for school in a search system the results often show women in promiscuous outfits, skinny, and white. However, when searching for school boy, the pictures are perfectly ordinary. There was…
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 or misinformation. International AI regulation will probably be necessary to curb the problem. Social media companies are incentivized to supply…